example research interview questions

Qualitative Research 101: Interviewing

5 Common Mistakes To Avoid When Undertaking Interviews

By: David Phair (PhD) and Kerryn Warren (PhD) | March 2022

Undertaking interviews is potentially the most important step in the qualitative research process. If you don’t collect useful, useable data in your interviews, you’ll struggle through the rest of your dissertation or thesis.  Having helped numerous students with their research over the years, we’ve noticed some common interviewing mistakes that first-time researchers make. In this post, we’ll discuss five costly interview-related mistakes and outline useful strategies to avoid making these.

Overview: 5 Interviewing Mistakes

• Not having a clear interview strategy /plan
• Not having good interview techniques /skills
• Not securing a suitable location and equipment
• Not having a basic risk management plan
• Not keeping your “ golden thread ” front of mind

1. Not having a clear interview strategy

The first common mistake that we’ll look at is that of starting the interviewing process without having first come up with a clear interview strategy or plan of action. While it’s natural to be keen to get started engaging with your interviewees, a lack of planning can result in a mess of data and inconsistency between interviews.

There are several design choices to decide on and plan for before you start interviewing anyone. Some of the most important questions you need to ask yourself before conducting interviews include:

• What are the guiding research aims and research questions of my study?
• Will I use a structured, semi-structured or unstructured interview approach?
• How will I record the interviews (audio or video)?
• Who will be interviewed and by whom ?
• What ethics and data law considerations do I need to adhere to?
• How will I analyze my data? 

Let’s take a quick look at some of these.

The core objective of the interviewing process is to generate useful data that will help you address your overall research aims. Therefore, your interviews need to be conducted in a way that directly links to your research aims, objectives and research questions (i.e. your “golden thread”). This means that you need to carefully consider the questions you’ll ask to ensure that they align with and feed into your golden thread. If any question doesn’t align with this, you may want to consider scrapping it.

Another important design choice is whether you’ll use an unstructured, semi-structured or structured interview approach . For semi-structured interviews, you will have a list of questions that you plan to ask and these questions will be open-ended in nature. You’ll also allow the discussion to digress from the core question set if something interesting comes up. This means that the type of information generated might differ a fair amount between interviews.

Contrasted to this, a structured approach to interviews is more rigid, where a specific set of closed questions is developed and asked for each interviewee in exactly the same order. Closed questions have a limited set of answers, that are often single-word answers. Therefore, you need to think about what you’re trying to achieve with your research project (i.e. your research aims) and decided on which approach would be best suited in your case.

It is also important to plan ahead with regards to who will be interviewed and how. You need to think about how you will approach the possible interviewees to get their cooperation, who will conduct the interviews, when to conduct the interviews and how to record the interviews. For each of these decisions, it’s also essential to make sure that all ethical considerations and data protection laws are taken into account.

Finally, you should think through how you plan to analyze the data (i.e., your qualitative analysis method) generated by the interviews. Different types of analysis rely on different types of data, so you need to ensure you’re asking the right types of questions and correctly guiding your respondents.

Simply put, you need to have a plan of action regarding the specifics of your interview approach before you start collecting data. If not, you’ll end up drifting in your approach from interview to interview, which will result in inconsistent, unusable data.

2. Not having good interview technique

While you’re generally not expected to become you to be an expert interviewer for a dissertation or thesis, it is important to practice good interview technique and develop basic interviewing skills .

Let’s go through some basics that will help the process along.

Firstly, before the interview , make sure you know your interview questions well and have a clear idea of what you want from the interview. Naturally, the specificity of your questions will depend on whether you’re taking a structured, semi-structured or unstructured approach, but you still need a consistent starting point . Ideally, you should develop an interview guide beforehand (more on this later) that details your core question and links these to the research aims, objectives and research questions.

Before you undertake any interviews, it’s a good idea to do a few mock interviews with friends or family members. This will help you get comfortable with the interviewer role, prepare for potentially unexpected answers and give you a good idea of how long the interview will take to conduct. In the interviewing process, you’re likely to encounter two kinds of challenging interviewees ; the two-word respondent and the respondent who meanders and babbles. Therefore, you should prepare yourself for both and come up with a plan to respond to each in a way that will allow the interview to continue productively.

To begin the formal interview , provide the person you are interviewing with an overview of your research. This will help to calm their nerves (and yours) and contextualize the interaction. Ultimately, you want the interviewee to feel comfortable and be willing to be open and honest with you, so it’s useful to start in a more casual, relaxed fashion and allow them to ask any questions they may have. From there, you can ease them into the rest of the questions.

As the interview progresses , avoid asking leading questions (i.e., questions that assume something about the interviewee or their response). Make sure that you speak clearly and slowly , using plain language and being ready to paraphrase questions if the person you are interviewing misunderstands. Be particularly careful with interviewing English second language speakers to ensure that you’re both on the same page.

Engage with the interviewee by listening to them carefully and acknowledging that you are listening to them by smiling or nodding. Show them that you’re interested in what they’re saying and thank them for their openness as appropriate. This will also encourage your interviewee to respond openly.

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3. Not securing a suitable location and quality equipment

Where you conduct your interviews and the equipment you use to record them both play an important role in how the process unfolds. Therefore, you need to think carefully about each of these variables before you start interviewing.

Poor location: A bad location can result in the quality of your interviews being compromised, interrupted, or cancelled. If you are conducting physical interviews, you’ll need a location that is quiet, safe, and welcoming . It’s very important that your location of choice is not prone to interruptions (the workplace office is generally problematic, for example) and has suitable facilities (such as water, a bathroom, and snacks).

If you are conducting online interviews , you need to consider a few other factors. Importantly, you need to make sure that both you and your respondent have access to a good, stable internet connection and electricity. Always check before the time that both of you know how to use the relevant software and it’s accessible (sometimes meeting platforms are blocked by workplace policies or firewalls). It’s also good to have alternatives in place (such as WhatsApp, Zoom, or Teams) to cater for these types of issues.

Poor equipment: Using poor-quality recording equipment or using equipment incorrectly means that you will have trouble transcribing, coding, and analyzing your interviews. This can be a major issue , as some of your interview data may go completely to waste if not recorded well. So, make sure that you use good-quality recording equipment and that you know how to use it correctly.

To avoid issues, you should always conduct test recordings before every interview to ensure that you can use the relevant equipment properly. It’s also a good idea to spot check each recording afterwards, just to make sure it was recorded as planned. If your equipment uses batteries, be sure to always carry a spare set.

4. Not having a basic risk management plan

Many possible issues can arise during the interview process. Not planning for these issues can mean that you are left with compromised data that might not be useful to you. Therefore, it’s important to map out some sort of risk management plan ahead of time, considering the potential risks, how you’ll minimize their probability and how you’ll manage them if they materialize.

Common potential issues related to the actual interview include cancellations (people pulling out), delays (such as getting stuck in traffic), language and accent differences (especially in the case of poor internet connections), issues with internet connections and power supply. Other issues can also occur in the interview itself. For example, the interviewee could drift off-topic, or you might encounter an interviewee who does not say much at all.

You can prepare for these potential issues by considering possible worst-case scenarios and preparing a response for each scenario. For instance, it is important to plan a backup date just in case your interviewee cannot make it to the first meeting you scheduled with them. It’s also a good idea to factor in a 30-minute gap between your interviews for the instances where someone might be late, or an interview runs overtime for other reasons. Make sure that you also plan backup questions that could be used to bring a respondent back on topic if they start rambling, or questions to encourage those who are saying too little.

In general, it’s best practice to plan to conduct more interviews than you think you need (this is called oversampling ). Doing so will allow you some room for error if there are interviews that don’t go as planned, or if some interviewees withdraw. If you need 10 interviews, it is a good idea to plan for 15. Likely, a few will cancel , delay, or not produce useful data.

5. Not keeping your golden thread front of mind

We touched on this a little earlier, but it is a key point that should be central to your entire research process. You don’t want to end up with pages and pages of data after conducting your interviews and realize that it is not useful to your research aims . Your research aims, objectives and research questions – i.e., your golden thread – should influence every design decision and should guide the interview process at all times. 

A useful way to avoid this mistake is by developing an interview guide before you begin interviewing your respondents. An interview guide is a document that contains all of your questions with notes on how each of the interview questions is linked to the research question(s) of your study. You can also include your research aims and objectives here for a more comprehensive linkage. 

You can easily create an interview guide by drawing up a table with one column containing your core interview questions . Then add another column with your research questions , another with expectations that you may have in light of the relevant literature and another with backup or follow-up questions . As mentioned, you can also bring in your research aims and objectives to help you connect them all together. If you’d like, you can download a copy of our free interview guide here .

Recap: Qualitative Interview Mistakes

In this post, we’ve discussed 5 common costly mistakes that are easy to make in the process of planning and conducting qualitative interviews.

To recap, these include:

If you have any questions about these interviewing mistakes, drop a comment below. Alternatively, if you’re interested in getting 1-on-1 help with your thesis or dissertation , check out our dissertation coaching service or book a free initial consultation with one of our friendly Grad Coaches.

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This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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How to carry out great interviews in qualitative research.

11 min read An interview is one of the most versatile methods used in qualitative research. Here’s what you need to know about conducting great qualitative interviews.

What is a qualitative research interview?

Qualitative research interviews are a mainstay among q ualitative research techniques, and have been in use for decades either as a primary data collection method or as an adjunct to a wider research process. A qualitative research interview is a one-to-one data collection session between a researcher and a participant. Interviews may be carried out face-to-face, over the phone or via video call using a service like Skype or Zoom.

There are three main types of qualitative research interview – structured, unstructured or semi-structured.

• Structured interviews Structured interviews are based around a schedule of predetermined questions and talking points that the researcher has developed. At their most rigid, structured interviews may have a precise wording and question order, meaning that they can be replicated across many different interviewers and participants with relatively consistent results.
• Unstructured interviews Unstructured interviews have no predetermined format, although that doesn’t mean they’re ad hoc or unplanned. An unstructured interview may outwardly resemble a normal conversation, but the interviewer will in fact be working carefully to make sure the right topics are addressed during the interaction while putting the participant at ease with a natural manner.
• Semi-structured interviews Semi-structured interviews are the most common type of qualitative research interview, combining the informality and rapport of an unstructured interview with the consistency and replicability of a structured interview. The researcher will come prepared with questions and topics, but will not need to stick to precise wording. This blended approach can work well for in-depth interviews.

Free eBook: The qualitative research design handbook

What are the pros and cons of interviews in qualitative research?

As a qualitative research method interviewing is hard to beat, with applications in social research, market research, and even basic and clinical pharmacy. But like any aspect of the research process, it’s not without its limitations. Before choosing qualitative interviewing as your research method, it’s worth weighing up the pros and cons.

Pros of qualitative interviews:

• provide in-depth information and context
• can be used effectively when their are low numbers of participants
• provide an opportunity to discuss and explain questions
• useful for complex topics
• rich in data – in the case of in-person or video interviews , the researcher can observe body language and facial expression as well as the answers to questions

Cons of qualitative interviews:

• can be time-consuming to carry out
• costly when compared to some other research methods
• because of time and cost constraints, they often limit you to a small number of participants
• difficult to standardize your data across different researchers and participants unless the interviews are very tightly structured
• As the Open University of Hong Kong notes, qualitative interviews may take an emotional toll on interviewers

Qualitative interview guides

Semi-structured interviews are based on a qualitative interview guide, which acts as a road map for the researcher. While conducting interviews, the researcher can use the interview guide to help them stay focused on their research questions and make sure they cover all the topics they intend to.

An interview guide may include a list of questions written out in full, or it may be a set of bullet points grouped around particular topics. It can prompt the interviewer to dig deeper and ask probing questions during the interview if appropriate.

Consider writing out the project’s research question at the top of your interview guide, ahead of the interview questions. This may help you steer the interview in the right direction if it threatens to head off on a tangent.

Avoid bias in qualitative research interviews

According to Duke University , bias can create significant problems in your qualitative interview.

• Acquiescence bias is common to many qualitative methods, including focus groups. It occurs when the participant feels obliged to say what they think the researcher wants to hear. This can be especially problematic when there is a perceived power imbalance between participant and interviewer. To counteract this, Duke University’s experts recommend emphasizing the participant’s expertise in the subject being discussed, and the value of their contributions.
• Interviewer bias is when the interviewer’s own feelings about the topic come to light through hand gestures, facial expressions or turns of phrase. Duke’s recommendation is to stick to scripted phrases where this is an issue, and to make sure researchers become very familiar with the interview guide or script before conducting interviews, so that they can hone their delivery.

What kinds of questions should you ask in a qualitative interview?

The interview questions you ask need to be carefully considered both before and during the data collection process. As well as considering the topics you’ll cover, you will need to think carefully about the way you ask questions.

Open-ended interview questions – which cannot be answered with a ‘yes’ ‘no’ or ‘maybe’ – are recommended by many researchers as a way to pursue in depth information.

An example of an open-ended question is “What made you want to move to the East Coast?” This will prompt the participant to consider different factors and select at least one. Having thought about it carefully, they may give you more detailed information about their reasoning.

A closed-ended question , such as “Would you recommend your neighborhood to a friend?” can be answered without too much deliberation, and without giving much information about personal thoughts, opinions and feelings.

Follow-up questions can be used to delve deeper into the research topic and to get more detail from open-ended questions. Examples of follow-up questions include:

• What makes you say that?
• What do you mean by that?
• Can you tell me more about X?
• What did/does that mean to you?

As well as avoiding closed-ended questions, be wary of leading questions. As with other qualitative research techniques such as surveys or focus groups, these can introduce bias in your data. Leading questions presume a certain point of view shared by the interviewer and participant, and may even suggest a foregone conclusion.

An example of a leading question might be: “You moved to New York in 1990, didn’t you?” In answering the question, the participant is much more likely to agree than disagree. This may be down to acquiescence bias or a belief that the interviewer has checked the information and already knows the correct answer.

Other leading questions involve adjectival phrases or other wording that introduces negative or positive connotations about a particular topic. An example of this kind of leading question is: “Many employees dislike wearing masks to work. How do you feel about this?” It presumes a positive opinion and the participant may be swayed by it, or not want to contradict the interviewer.

Harvard University’s guidelines for qualitative interview research add that you shouldn’t be afraid to ask embarrassing questions – “if you don’t ask, they won’t tell.” Bear in mind though that too much probing around sensitive topics may cause the interview participant to withdraw. The Harvard guidelines recommend leaving sensitive questions til the later stages of the interview when a rapport has been established.

More tips for conducting qualitative interviews

Observing a participant’s body language can give you important data about their thoughts and feelings. It can also help you decide when to broach a topic, and whether to use a follow-up question or return to the subject later in the interview.

Be conscious that the participant may regard you as the expert, not themselves. In order to make sure they express their opinions openly, use active listening skills like verbal encouragement and paraphrasing and clarifying their meaning to show how much you value what they are saying.

Remember that part of the goal is to leave the interview participant feeling good about volunteering their time and their thought process to your research. Aim to make them feel empowered , respected and heard.

Unstructured interviews can demand a lot of a researcher, both cognitively and emotionally. Be sure to leave time in between in-depth interviews when scheduling your data collection to make sure you maintain the quality of your data, as well as your own well-being .

Recording and transcribing interviews

Historically, recording qualitative research interviews and then transcribing the conversation manually would have represented a significant part of the cost and time involved in research projects that collect qualitative data.

Fortunately, researchers now have access to digital recording tools, and even speech-to-text technology that can automatically transcribe interview data using AI and machine learning. This type of tool can also be used to capture qualitative data from qualitative research (focus groups,ect.) making this kind of social research or market research much less time consuming.

Data analysis

Qualitative interview data is unstructured, rich in content and difficult to analyze without the appropriate tools. Fortunately, machine learning and AI can once again make things faster and easier when you use qualitative methods like the research interview.

Text analysis tools and natural language processing software can ‘read’ your transcripts and voice data and identify patterns and trends across large volumes of text or speech. They can also perform khttps://www.qualtrics.com/experience-management/research/sentiment-analysis/

which assesses overall trends in opinion and provides an unbiased overall summary of how participants are feeling.

Another feature of text analysis tools is their ability to categorize information by topic, sorting it into groupings that help you organize your data according to the topic discussed.

All in all, interviews are a valuable technique for qualitative research in business, yielding rich and detailed unstructured data. Historically, they have only been limited by the human capacity to interpret and communicate results and conclusions, which demands considerable time and skill.

When you combine this data with AI tools that can interpret it quickly and automatically, it becomes easy to analyze and structure, dovetailing perfectly with your other business data. An additional benefit of natural language analysis tools is that they are free of subjective biases, and can replicate the same approach across as much data as you choose. By combining human research skills with machine analysis, qualitative research methods such as interviews are more valuable than ever to your business.

Related resources

Market intelligence 10 min read, marketing insights 11 min read, ethnographic research 11 min read, qualitative vs quantitative research 13 min read, qualitative research questions 11 min read, qualitative research design 12 min read, primary vs secondary research 14 min read, request demo.

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Introduction to Research Methods

6 qualitative research and interviews.

So we’ve described doing a survey and collecting quantitative data. But not all questions can best be answered by a survey. A survey is great for understanding what people think (for example), but not why they think what they do. If your research is intending to understand the underlying motivations or reasons behind peoples actions, or to build a deeper understanding on the background of a subject, an interview may be the more appropriate data collection method.

Interviews are a method of data collection that consist of two or more people exchanging information through a structured process of questions and answers. Questions are designed by the researcher to thoughtfully collect in-depth information on a topic or set of topics as related to the central research question. Interviews typically occur in-person, although good interviews can also be conducted remotely via the phone or video conferencing. Unlike surveys, interviews give the opportunity to ask follow-up questions and thoughtfully engage with participants on the spot (rather than the anonymous and impartial format of survey research).

And surveys can be used in qualitative or quantitative research – though they’re more typically a qualitative technique. In-depth interviews , containing open-ended questions and structured by an interview guide . One can also do a standardized interview with closed-ended questions (i.e. answer options) that are structured by an interview schedule as part of quantitative research. While these are called interviews they’re far closer to surveys, so we wont cover them again in this chapter. The terms used for in-depth interviews we’ll cover in the next section.

6.1 Interviews

In-depth interviews allow participants to describe experiences in their own words (a primary strength of the interview format). Strong in-depth interviews will include many open-ended questions that allow participants to respond in their own words, share new ideas, and lead the conversation in different directions. The purpose of open-ended questions and in-depth interviews is to hear as much as possible in the person’s own voice, to collect new information and ideas, and to achieve a level of depth not possible in surveys or most other forms of data collection.

Typically, an interview guide is used to create a soft structure for the conversation and is an important preparation tool for the researcher. You can not go into an interview unprepared and just “wing it”; what the interview guide allows you to do is map out a framework, order of topics, and may include specific questions to use during the interview. Generally, the interview guide is thought of as just that — a guide to use in order to keep the interview focused. It is not set in stone and a skilled researcher can change the order of questions or topics in an interviews based on the organic conversation flow.

Depending on the experience and skill level of the researcher, an interview guide can be as simple as a list of topics to cover. However, for consistency and quality of research, the interviewer may want to take the time to at least practice writing out questions in advance to ensure that phrasing and word choices are as clear, objective, and focused as possible. It’s worth remembering that working out the wording of questions in advance allows researchers to ensure more consistency across interview. The interview guide below, taken from the wonderful and free textbook Principles of Sociological Inquiry , shows an interview guide that just has topics.

Alternatively, you can use a more detailed guide that lists out possible questions, as shown below. A more detailed guide is probably better for an interviewer that has less experience, or is just beginning to work on a given topic.

The purpose of an interview guide is to help ask effective questions and to support the process of acquiring the best possible data for your research. Topics and questions should be organized thematically, and in a natural progression that will allow the conversation to flow and deepen throughout the course of the interview. Often, researchers will attempt to memorize or partially memorize the interview guide, in order to be more fully present with the participant during the conversation.

6.2 Asking good Questions

Remember, the purposes of interviews is to go more in-depth with an individual than is possible with a generalized survey. For this reason, it is important to use the guide as a starting point but not to be overly tethered to it during the actual interview process. You may get stuck when respondents give you shorter answers than you expect, or don’t provide the type of depth that you need for your research. Often, you may want to probe for more specifics. Think about using follow up questions like “How does/did that affect you?” or “How does X make you feel?” and “Tell me about a time where X…”

For example, if I was researching the relationship between pets and mental health, some strong open-ended questions might be: * How does your pet typically make you feel when you wake up in the morning? * How does your pet generally affect your mood when you arrive home in the evening? * Tell me about a time when your pet had a significant impact on your emotional state.

Questions framed in this manner leave plenty of room for the respondent to answer in their own words, as opposed to leading and/or truncated questions, such as: * Does being with your pet make you happy? * After a bad day, how much does seeing your pet improve your mood? * Tell me about how important your pet is to your mental health.

These questions assume outcomes and will not result in high quality research. Researchers should always avoid asking leading questions that give away an expected answer or suggest particular responses. For instance, if I ask “we need to spend more on public schools, don’t you think?” the respondent is more likely to agree regardless of their own thoughts. Some wont, but humans generally have a strong natural desire to be agreeable. That’s why leaving your questions neutral and open so that respondents can speak to their experiences and views is critical.

6.3 Analyzing Interview Data

Writing good questions and interviewing respondents are just the first steps of the interview process. After these stages, the researcher still has a lot of work to do to collect usable data from the interview. The researcher must spend time coding and analyzing the interview to retrieve this data. Just doing an interview wont produce data. Think about how many conversations you have everyday, and none of those are leaving you swimming in data.

Hopefully you can record your interviews. Recording your interviews will allow you the opportunity to transcribe them word for word later. If you can’t record the interview you’ll need to take detailed notes so that you can reconstruct what you heard later. Do not trust yourself to “just remember” the conversation. You’re collecting data, precious data that you’re spending time and energy to collect. Treat it as important and valuable. Remember our description of the methodology section from Chapter 2, you need to maintain a chain of custody on your data. If you just remembered the interview, you could be accused of making up the results. Your interview notes and the recording become part of that chain of custody to prove to others that your interviews were real and that your results are accurate.

Assuming you recorded your interview, the first step in the analysis process is transcribing the interview. A transcription is a written record of every word in an interview. Transcriptions can either be completed by the researcher or by a hired worker, though it is good practice for the researcher to transcribe the interview him or herself. Researchers should keep the following points in mind regarding transcriptions: * The interview should take place in a quiet location with minimal background noise to produce a clear recording; * Transcribing interviews is a time-consuming process and may take two to three times longer than the actual interview; * Transcriptions provide a more precise record of the interview than hand written notes and allow the interviewer to focus during the interview.

After transcribing the interview, the next step is to analyze the responses. Coding is the main form of analysis used for interviews and involves studying a transcription to identify important themes. These themes are categorized into codes, which are words or phrases that denote an idea.

You’ll typically being with several codes in mind that are generated by key ideas you week seeking in the questions, but you can also being by using open coding to understand the results. An open coding process involves reading through the transcript multiple times and paying close attention to each line of the text to discover noteworthy concepts. During the open coding process, the researcher keeps an open mind to find any codes that may be relevant to the research topic.

After the open coding process is complete, focused coding can begin. Focused coding takes a closer look at the notes compiled during the open coding stage to merge common codes and define what the codes mean in the context of the research project.

Imagine a researcher is conducting interviews to learn about various people’s experiences of childhood in New Orleans. The following example shows several codes that this researcher extrapolated from an interview with one of their subjects.

6.4 Using interview data

The next chapter will address ways to identify people to interview, but most of the remainder of the book will address how to analyze quantitative data. That shouldn’t be taken as a sign that quantitative data is better, or that it’s easier to use interview data. Because in an interview the researcher must interpret the words of others it is often more challenging to identify your findings and clearly answer your research question. However, quantitative data is more common, and there are more different things you can do with it, so we spend a lot of the textbook focusing on it.

I’ll work through one more example of using interview data though. It takes a lot of practice to be a good and skilled interviewer. What I show below is a brief excerpt of an interview I did, and how that data was used in a resulting paper I wrote. These aren’t the only way you can use interview data, but it’s an example of what the intermediary and final product might look like.

The overall project these are drawn from was concerned with minor league baseball stadiums, but the specific part I’m pulling from here was studying the decline and rejuvenation of downtown around those stadiums in several cities. You’ll see that I’m using the words of the respondent fairly directly, because that’s my data. But I’m not just relying on one respondent and trusting them, I did a few dozen interviews in order to understand the commonalities in people’s perspectives to build a narrative around my research question.

Excerpt from Notes

Excerpt from Resulting Paper

How many interviews are necessary? It actually doesn’t take many. What you want to observe in your interviews is theoretical saturation , where the codes you use in the transcript begin to appear across conversations and groups. If different people disagree that’s fine, but what you want to understand is the commonalities across peoples perspectives. Most research on the subject says that with 8 interviews you’ll typically start to see a decline in new information gathered. That doesn’t mean you won’t get new words , but you’ll stop hearing completely unique perspectives or gain novel insights. At that point, where you’ve ‘heard it all before’ you can stop, because you’ve probably identified the answer to the questions you were trying to research.

6.5 Ensuring Anonymity

One significant ethical concern with interviews, that also applies to surveys, is making sure that respondents maintain anonymity. In either form of data collection you may be asking respondents deeply personal questions, that if exposed may cause legal, personal, or professional harm. Notice that in the excerpt of the paper above the respondents are only identified by an id I assigned (Louisville D) and their career, rather than their name. I can only include the excerpt of the interview notes above because there are no details that might lead to them being identified.

You may want to report details about a person to contextualize the data you gathered, but you should always ensure that no one can be identified from your research. For instance, if you were doing research on racism at large companies, you may want to preface people’s comments by their race, as there is a good chance that white and minority employees would feel differently about the issues. However, if you preface someones comments by saying they’re a minority manager, that may violate their anonymity. Even if you don’t state what company you did interviews with, that may be enough detail for their co-workers to identify them if there are few minority managers at the company. As such, always think long and hard about whether there is any way that the participation of respondents may be exposed.

6.6 Why not both?

We’ve discussed surveys and interviews as different methods the last two chapters, but they can also complement each other.

For instance, let’s say you’re curious to study people who change opinions on abortion, either going from support to opposition or vice versa. You could use a survey to understand the prevalence of changing opinions, i.e. what percentage of people in your city have changed their views. That would help to establish whether this is a prominent issue, or whether it’s a rare phenomenon. But it would be difficult to understand from the survey what makes people change their views. You could add an open ended question for anyone that said they changed their opinion, but many people won’t respond and few will provide the level of detail necessary to understand their motivations. Interviews with people that have changed their opinions would give you an opportunity to explore how their experiences and beliefs have changed in combination with their views towards abortion.

6.7 Summary

In the last two chapters we’ve discussed the two most prominent methods of data collection in the social sciences: surveys and interviews. What we haven’t discussed though is how to identify the people you’ll collect data from; that’s called a sampling strategy. In the next chapter

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Preparing Questions for a Qualitative Research Interview

Updated on: October 5, 2023

A qualitative research interview is an invaluable tool for researchers. Whether one’s studying social phenomena, exploring personal narratives, or investigating complex issues, interviews offer a means to gain unique insights. 

“The quality of the data collected in a qualitative research interview is highly dependent on the quality and appropriateness of the questions asked.”

But how do you prepare the right questions to ensure your interviews yield rich data? In this guide, we’ll explore the types of qualitative research interviews and provide tips for crafting effective questions.

Table of Contents

Types of Qualitative Research Interviews

Before diving into question preparation, it’s important to select the type of qualitative research interview that’s best suited for the study at hand.

There are three types of qualitative research interviews:

Structured Interviews 

Structured interviews involve asking the same set of pre-written questions to every participant. This approach ensures consistency, making it easier to compare data between participants or groups later.

When conducting structured interviews, keep these guidelines in mind:

• Pre-written Questions : All questions, including probes, should be meticulously written in advance.
• Detailed Questions : Questions should be detailed enough to be used verbatim during interviews.
• Consistent Sequence : The sequence of questions should be pre-decided and consistent across interviews.

Example of a Structured Interview Question

Question : Thinking back to your childhood days in Chelsea, can you remember what kind of local music was popular at the time?

• Why do you think it was so popular?
• Where was it played?
• Were there other popular genres?

Structured interviews are ideal when you need uniform data collection across all participants. They are common in large-scale studies or when comparing responses quantitatively.

Read more: Advantages & Disadvantages of Structured Interviews

Semi-structured Interviews 

The second type of qualitative interviews are semi-structured interviews. In these interviews, the  interview guide outlines the topics to be explored, but the actual questions are not pre-written.

This approach allows interviewers the freedom to phrase questions spontaneously and explore topics in more depth.

Example of a Semi-Structured Interview Question

Question : What problems did the participant face growing up in the community?

• Education-related.
• Related to their immediate family.
• Related to the community in general.

Semi-structured interviews strike a balance between flexibility and structure. They offer a framework within which interviewers can adapt questions to participants’ responses, making them suitable for in-depth exploration.

Unstructured Interviews 

In unstructured interviews, often referred to as  informal conversational interviews , are characterized by a lack of formal guidelines, predefined questions, or sequencing.

Questions emerge during the interview based on the conversation’s flow and the interviewee’s observations. Consequently, each unstructured interview is unique, and questions may evolve over time.

Unstructured interviews are highly exploratory and can lead to unexpected insights. They are particularly valuable when studying complex or novel phenomena where predefined questions may limit understanding.

Deciding What Information You Need

Once you’ve chosen the type of interview that suits your research study, the next step is to decide what information you need to collect.

Patton’s six types of questions offer a framework for shaping your inquiries:

• Behavior or Experience : Explore participants’ actions and experiences.
• Opinion or Belief : Probe participants’ beliefs, attitudes, and opinions.
• Feelings : Delve into the emotional aspects of participants’ experiences.
• Knowledge : Assess participants’ understanding and awareness of a topic.
• Sensory : Investigate how participants perceive and interact with their environment.
• Background or Demographic : Collect information about participants’ personal characteristics and histories.

Based on these categories, create a list of the specific information you aim to collect through the interview. This step ensures that your questions align with your research objectives.

Writing the Qualitative Research Interview Questions

After deciding the type of interview and nature of information you’d like to gather, the next step is to write the actual questions. 

Using Open-Ended Questions

Open-ended questions are the backbone of qualitative research interviews. They encourage participants to share their experiences and thoughts in-depth, providing rich, detailed data.

Avoid ‘yes’ or ‘no’ questions, as they limit responses. Instead, use open-ended questions that grant participants the freedom to express themselves. Here are some examples – 

Examples of Open-Ended Questions

How do you feel about working at ABC Corp. during your initial years there?

• Encourages participants to share their emotions and experiences.

Can you describe the attitudes and approach to work of the other people working with you at the time?

• Invites participants to reflect on their colleagues’ behaviors and attitudes.

Tell me more about your relationship with your peers.

• Encourages participants to provide narrative insights into their relationships.

Read More: 100 Open-Ended Qualitative Interview Questions

Going from Unstructured to Structured Questions

Unstructured Questions allow the interviewee to guide the conversation, letting them focus on what they think is most important.

These questions make the interview longer, but also provide richer and deeper insight.

Examples of Unstructured Questions

• Tell me about your experience working at [xxx].
• What did it feel like to live in that neighborhood?
• What stood out to you as the defining characteristic of that neighborhood?

Examples of Structured Questions

• What are some ways people dealt with the health issues caused by excessive chemical industries in the neighborhood?
• As an employee at ABC Corp. during the time, did you observe any specific actions taken by the employers to address the issue?

Probing Questions

Probing questions are used to get more information about an answer or clarify something. They help interviewers dig deeper, clarify responses, and gain a more comprehensive understanding.

Examples of Probing Questions

Tell me more about that.

• Encourages participants to elaborate on their previous response.

And how did you feel about that?

• Invites participants to share their emotional reactions.

What do you mean when you say [xxx]?

• Seeks clarification on ambiguous or complex statements.

Probing questions enhance the depth and clarity of the data collected, however they should be used judiciously to avoid overwhelming participants.

A General Last Question

As your interview approaches its conclusion, it’s beneficial to have a general last question that allows the interviewee to share any additional thoughts or opinions they feel are relevant.

For instance, you might ask:

Thank you for all that valuable information. Is there anything else you’d like to add before we end?

This open-ended question provides participants with a final opportunity to express themselves fully, ensuring that no critical insights are left unshared.

Preparing questions for qualitative research interviews requires a thoughtful approach that considers the interview type, desired information, and the balance between structured and unstructured questioning.

Here’s a great guide from the Harvard University on the subject.

• Choosing the Right Setting for a Qualitative Research Interview
• 5 Ways Researchers can Transcribe from Audio to Text

Reader Interactions

hlabishi says

April 8, 2015 at 12:37 pm

I found the information valuable. It will assist me a lot with my research work.

Harpinder says

June 8, 2015 at 10:40 pm

I am going for my pilot study. Above information is really valuable for me. Thank you.

September 28, 2015 at 10:21 am

thank you for Patton’s 6 types of questions related to: 1. Behavior or experience. 2. Opinion or belief. 3. Feelings. 4. Knowledge. 5. Sensory. 6. Background or demographic. Really helpful

IBRAHIM A. ALIYU says

October 7, 2015 at 6:04 pm

Very interesting and good guides, thanks a lot

Dumisani says

July 31, 2017 at 7:55 am

Very informative. Thank you

Yongama says

June 5, 2018 at 11:57 pm

this is a good information and it helped me

Joshua Nonwo says

June 3, 2019 at 11:02 pm

vital information that really help me to do my research. thank you so much.

June 12, 2019 at 7:36 pm

Thanks a lot. Example of structured interview broadens My mind in formulating my structured research question. Indeed very helpful.

mwiine says

November 29, 2019 at 6:31 am

thanx, a lot. the information will guide me in my research.

Kayayoo isaac says

November 29, 2019 at 7:54 am

Thanks for the information, it was very much helpful to me in the area of data collection.

leslie says

December 27, 2019 at 4:29 pm

very useful thanks.

louisevbanz says

January 20, 2020 at 3:19 pm

I’d like put the writers of this in my references. May I ask who the writers are and what year was this published? Thank you very much.

Daniel says

June 1, 2020 at 6:21 pm

Thank you very much. Helpful information in my preparations for structured interviews for my research .

abby kamwana says

December 8, 2020 at 9:03 am

This is the information i was looking for thank you so much!.

Cosmas W.K. Mereku (Prof.) says

June 15, 2021 at 8:59 am

I am teaching 42 MPhil and 6 PhD postgraduate music students research methods this academic year. Your guide to qualitative research interview questions has been very useful. Because the students are in different disciplines (music education, music composition, ethnomusicology and performance), all the types of questions discussed have been very useful. Thank you very much.

Gerald Ibrahim b. says

June 16, 2021 at 12:45 pm

One of my best article ever read..thanks alot this may help me in completing my research report…

Corazon T. Balulao says

March 1, 2022 at 7:47 am

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antoinette says

March 28, 2022 at 7:35 am

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November 21, 2023 at 5:55 am

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18 Researcher Interview Questions (With Example Answers)

It's important to prepare for an interview in order to improve your chances of getting the job. Researching questions beforehand can help you give better answers during the interview. Most interviews will include questions about your personality, qualifications, experience and how well you would fit the job. In this article, we review examples of various researcher interview questions and sample answers to some of the most common questions.

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Common Researcher Interview Questions

What inspired you to pursue a career in research, what do you think sets research apart from other disciplines, what do you think is the most important skill for a researcher, what do you think is the most exciting thing about research, what do you think is the best thing about being a researcher, what do you think is the worst thing about being a researcher, what do you think is the most challenging thing about research, what do you think is the best thing about conducting research, what do you think is the worst thing about conducting research, what do you think is the most important thing to remember when conducting research, what do you think is the best way to approach research, what do you think is the worst way to approach research, what do you think is the most important thing to keep in mind when writing a research paper, what do you think is the best way to format a research paper, what do you think is the worst way to format a research paper, what do you think is the most important thing to consider when choosing a topic for a research paper, what do you think is the best way to go about finding sources for a research paper, what do you think is the worst way to go about finding sources for a research paper.

There are many reasons why someone might be inspired to pursue a career in research. For example, they may be inspired by the opportunity to make new discoveries that could improve the lives of people around the world. Or, they may be motivated by the challenge of solving complex problems and pushing the boundaries of knowledge.

It is important for interviewers to ask this question because it can help them to understand a candidate's motivation for pursuing a career in research. This can be helpful in assessing whether the candidate is likely to be successful in their role and whether they will be a good fit for the organisation.

Example: “ I have always been fascinated by the process of discovery and the role that research plays in advancing our understanding of the world around us. Pursuing a career in research allows me to contribute to this process and to make a difference in the world. ”

There are a few reasons why an interviewer might ask this question. First, they may be trying to gauge your level of experience and expertise in research. Second, they may be trying to understand your research process and methods. Finally, they may be trying to assess your ability to communicate and collaborate with other researchers.

This question is important because it can help the interviewer understand your level of experience and expertise in research. Additionally, it can help them understand your research process and methods. Finally, it can help them assess your ability to communicate and collaborate with other researchers.

Example: “ There are a few key things that set research apart from other disciplines: 1. The scientific method: In order to be considered research, an investigation must follow the scientific method, which is a systematic process for gathering and testing evidence. This ensures that research is as objective and unbiased as possible. 2. Peer review: Another key element of research is peer review, which is the process by which experts in a field check each other's work to ensure its quality. This helps to ensure that only the best and most reliable research is published. 3. Replication: Research is also designed to be replicated, or repeated, in order to verify its findings. This helps to ensure that the results are not simply due to chance or error. ”

There are many important skills for researchers, but some skills are more important than others. The most important skill for researchers is the ability to think critically. Critical thinking is the ability to analyze data and information and make decisions based on that analysis. It is important because it allows researchers to understand complex problems and find solutions to those problems.

Example: “ There are many important skills for a researcher, but some of the most important include: -The ability to ask clear and concise research questions -The ability to design effective research studies -The ability to collect high-quality data -The ability to analyze data effectively -The ability to communicate research findings clearly and effectively ”

There are many possible reasons an interviewer might ask this question to a researcher. They may be trying to gauge the level of enthusiasm the researcher has for their work, or they may be trying to assess how well the researcher understands the implications of their research. Additionally, the interviewer may be trying to determine if the researcher is able to articulate the significance of their work in a way that is understandable and relatable to a lay audience. Ultimately, it is important for the interviewer to gain a better understanding of the researcher's motivations and perspective on their work in order to get a sense of how well they will be able to communicate their findings to the public.

Example: “ There are many exciting things about research, but one of the most exciting things is the opportunity to make new discoveries. Every day, researchers are uncovering new information about the world around us and the universe we live in. This constantly expanding body of knowledge provides us with a greater understanding of our place in the world and how we can improve our lives. ”

There could be several reasons why an interviewer might ask this question. They may be trying to gauge the researcher's level of commitment to their work, or they may be trying to identify what motivates the researcher to do their job. Additionally, the interviewer may be trying to assess the researcher's ability to reflect on their work and identify areas of improvement. Ultimately, it is important for the interviewer to understand what the researcher finds most rewarding about their work in order to determine whether or not the researcher is a good fit for the position.

Example: “ There are many great things about being a researcher. One of the best things is that researchers get to learn new things all the time. They also get to help other people learn new things by sharing their findings with them. Researchers also get to travel to different places to conduct their research, which can be very exciting. ”

The interviewer is trying to gauge the researcher's self-awareness and ability to reflect on their work. This is important because it shows that the researcher is able to identify areas for improvement and is committed to professional development.

Example: “ There are a few potential drawbacks to being a researcher. First, the job can be quite isolating. Researchers often work alone in their labs or offices, and they may not have much interaction with other people on a daily basis. This can be lonely and frustrating for some people. Second, research can be slow and tedious. It can take years to complete a study, and the results may not be immediately apparent. This can be frustrating for people who want to see quick results. Finally, research can be expensive. Funding for research projects is often limited, so researchers may have to make do with less money than they would like. This can make it difficult to conduct high-quality research. ”

There are many potential challenges that come with research, such as finding accurate and reliable sources, developing a hypothesis, conducting experiments or surveys, and analyzing data. The most challenging thing about research can vary depending on the project and the researcher's individual skills and experience. By asking this question, the interviewer is trying to understand what the researcher feels is the most difficult part of the research process and why they feel that way. This information can help the interviewer determine if the researcher is a good fit for the project and if they will be able to overcome any challenges they may face.

Example: “ There are many challenges that come with research, but I think the most challenging thing is trying to find accurate and reliable information. With so much information available online, it can be difficult to know what is true and what is not. This can make it challenging to find the right data and resources to use for your research. ”

There are many reasons why an interviewer might ask a researcher what they think is the best thing about conducting research. It is important to remember that research is a process of inquiry that is used to uncover new knowledge or to confirm existing knowledge. The best thing about conducting research is that it allows us to constantly learn new things and to deepen our understanding of the world around us.

Example: “ There are many great things about conducting research, but one of the best things is that it allows you to explore new ideas and discover new knowledge. It can be very exciting to be on the cutting edge of new discoveries, and research allows you to do just that. Additionally, research is a great way to learn more about a specific topic or subject that you are interested in. Conducting research can help you gain a deeper understanding of the world around you and how it works. ”

The interviewer is trying to gauge the researcher's ability to reflect on their work and identify areas for improvement. This is important because it shows that the researcher is constantly trying to improve their methods and is willing to listen to criticism.

Example: “ There are a few potential worst things about conducting research, depending on the individual researcher's perspective. One worst thing could be the amount of time and effort required to produce high-quality research results. This can be especially true in fields where data is difficult to collect or analyze, or where experiments are expensive or time-consuming to carry out. Another worst thing about conducting research could be the pressure to publish results in prestigious journals, which can lead to cut corners being taken in the research process. Additionally, some researchers may find the constant criticism and peer review process to be frustrating and demoralizing. ”

An interviewer would ask this question in order to gauge the respondent's understanding of the research process and their ability to identify key components of a successful research project. It is important for researchers to be able to identify the most important aspects of their work in order to ensure that they are able to effectively communicate their findings to others. Additionally, this question can help to reveal areas where the respondent may need further training or education in order to improve their research skills.

Example: “ There are a few things that are important to remember when conducting research: 1. Make sure you have a clear research question that you want to answer. This will help guide your research and keep you focused. 2. Do your background research and make sure you understand the topic area you are researching. This will help ensure that your research is accurate and complete. 3. Be sure to use reliable and credible sources for your research. This will help ensure that your findings are trustworthy. 4. Be organized and keep track of your data and findings. This will help you to see patterns and trends in your data, and make it easier to write up your results. 5. Be critical of your data and findings, and try to identify any potential biases or errors. This will help you to produce more accurate results. ”

The interviewer is likely looking for qualities that the researcher has that make them successful at their job. This might include qualities such as being able to effectively plan and execute research projects, being able to troubleshoot problems that arise, and being able to communicate findings to others. It is important for the interviewer to gauge the researcher's self-awareness and ability to reflect on their own work in order to get a sense of how they might approach future projects.

Example: “ There is no one answer to this question as different researchers will have different opinions on the best way to approach research. However, some general tips that may be useful include: developing a clear research question or hypothesis, reviewing the relevant literature, designing an appropriate study methodology, collecting and analyzing data, and drawing conclusions based on the findings. It is also important to communicate the results of one's research in a clear and concise manner. ”

There are a few reasons why an interviewer might ask this question. First, they want to see if the researcher is familiar with different research approaches and can identify which ones are less effective. Second, the interviewer wants to gauge the researcher's critical thinking skills and ability to identify flaws in research methods. Finally, this question allows the interviewer to get a sense of the researcher's opinion on the best way to conduct research.

This question is important because it allows the interviewer to assess the researcher's knowledge of research methods, critical thinking skills, and opinion on the best way to conduct research. By understanding the researcher's thoughts on this topic, the interviewer can get a better sense of their thought process and whether they would be a good fit for the position.

Example: “ There is no one-size-fits-all answer to this question, as the worst way to approach research depends on the specific research question and context. However, some general approaches that could be considered bad ways to approach research include: 1. Not Defining the Research Question Clearly If the research question is not clearly defined from the outset, it can be difficult to know what direction to take the research in and what data to collect. This can lead to a lot of wasted time and effort, as well as potentially biased or irrelevant results. 2. Relying Too Much on Secondary Data While secondary data can be a valuable resource, it should not be relied upon too heavily. This is because secondary data may not be relevant to the specific research question or context, and it may also be out of date. In addition, secondary data cannot be controlled by the researcher, so it may not be possible to obtain the level of detail required for the research. 3. Collecting Data Without a Plan It is important to have a plan for how data will be collected before starting to collect it. This plan should specify what type of data will be collected, how it will be collected, and who will be responsible for collecting ”

The interviewer is likely trying to gauge the researcher's writing ability and whether they are able to produce a well-thought-out, comprehensive research paper. The most important thing to keep in mind when writing a research paper is to make sure that all of the information is accurate and that the sources are reliable. The paper should also be clear and concise so that the reader can easily follow the argument.

Example: “ There are a few things to keep in mind when writing a research paper that will help ensure your paper is well-received by your audience. First, make sure to choose a topic that is interesting and relevant to your audience. Second, take the time to thoroughly research your topic and provide well-supported arguments for your position. Third, be sure to edit and proofread your paper before submitting it for review. By following these simple tips, you can increase the chances that your research paper will be well-received by your intended audience. ”

The best way to format a research paper may vary depending on the discipline, but there are some general guidelines that can help a researcher ensure their paper is well-formatted and easy to read. Some important considerations for formatting a research paper include margins, font size and type, line spacing, and page numbers. Proper formatting can help make a research paper more accessible and easier to read, which can ultimately lead to more impactful research.

Example: “ There is no one correct answer to this question. Different researchers have different preferences for how to format a research paper. Some common elements that are typically included in a research paper are an abstract, introduction, literature review, methodology, results, and discussion. ”

There is no one answer to this question, as it depends on the specific field of research and the preferences of the journal or conference. However, some elements that could make a research paper poorly formatted include using an incorrect citation style, not following the required page layout, or using too many graphics and images. Poorly formatted papers can be difficult to read and may be less likely to be accepted for publication.

Example: “ There is no one "worst" way to format a research paper. However, there are several common formatting errors that can make a paper difficult to read and understand. These include: • Not using proper headings and subheadings to organize the paper. • Not using clear and concise sentences. • Not using proper grammar and punctuation. • Not citing sources properly. ”

There are many things to consider when choosing a topic for a research paper, but the most important thing is to choose a topic that is interesting and relevant to the researcher. The topic should also be something that the researcher is familiar with and has some knowledge about. Additionally, the topic should be something that is not too narrow or too broad, and it should be something that has been researched before.

Example: “ There are many things to consider when choosing a topic for a research paper. The most important thing is to choose a topic that is interesting and relevant to you. It is also important to choose a topic that is narrow enough to be covered in a single research paper. Additionally, it is important to consider the resources available to you when choosing a topic. Finally, it is also important to consider the audience you are writing for when choosing a topic. ”

One of the most important aspects of research is finding reliable sources. Without sources that can be verified and relied upon, the researcher's findings will not be credible. Therefore, it is important for the interviewer to ask how the researcher plans to find sources for their paper in order to ensure that the research is of high quality.

Example: “ There is no one answer to this question as it depends on the topic of the research paper and the type of sources required. However, some tips on finding sources for a research paper include using online search engines such as Google Scholar, looking through bibliographies of relevant books and articles, and searching for open access journals that cover the topic. Additionally, contacting experts in the field and asking for recommendations can be helpful. ”

The interviewer is trying to gauge the researcher's ability to find reliable sources of information. This is important because research papers are only as good as the sources they are based on. If a researcher cannot find reliable sources, then their paper will not be credible.

Example: “ There are a few ways that researchers can go about finding sources for their papers that are considered to be less than ideal. One way is to simply do a Google search on the topic and hope that relevant sources come up. This is often not very effective, as much of the information that comes up in a general search may not be relevant or reliable. Another way is to ask friends or colleagues for recommendations. This can be somewhat helpful, but it is often limited to the resources that those individuals are aware of. A better way to find sources is to use a database or search engine specifically designed for academic research. These tools will allow you to narrow your search to more reputable and relevant sources. ”

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20 Most Common Research Scientist Interview Questions and Answers

Common Research Scientist interview questions, how to answer them, and sample answers from a certified career coach.

You’re ready to take the next step in your career and apply for a research scientist position. But first, you have to make it through the interview process.

Knowing what questions to expect ahead of time can help ease some of the anxiety that comes with interviewing. To get you started, here are some common research scientist interview questions—and tips on how to answer them.

• What experience do you have in designing and conducting experiments?
• Describe a research project that you are particularly proud of and explain why.
• How do you ensure the accuracy and reliability of your data?
• Explain how you use statistical analysis to interpret results from experiments.
• Are you familiar with any software programs used for data analysis?
• What strategies do you use to stay up-to-date on new developments in your field?
• How do you handle conflicting opinions or interpretations of data within a team?
• Describe a time when you had to troubleshoot an experiment that wasn’t producing expected results.
• What is your experience with writing scientific papers and presenting findings at conferences?
• How do you approach developing hypotheses and testing them through experimentation?
• What techniques do you use to identify potential sources of bias in experimental design?
• Do you have any experience working with interdisciplinary teams?
• How do you manage competing deadlines and prioritize tasks?
• What methods do you use to communicate complex scientific concepts to non-experts?
• How do you evaluate the ethical implications of your research?
• What strategies do you use to develop innovative solutions to challenging problems?
• Have you ever encountered unexpected results during an experiment? How did you respond?
• Describe a time when you had to collaborate with other researchers to achieve a common goal.
• What would you do if you encountered a problem that was outside of your area of expertise?
• How do you keep track of all the different elements involved in a research project?

1. What experience do you have in designing and conducting experiments?

Research scientists are the people who design and conduct experiments, analyze data, and draw conclusions from the results. It’s important to have experience in this area to make sure that the research is conducted properly and that the results are accurate. This question is also a way for the interviewer to assess your knowledge of the scientific method and how it’s used in research.

How to Answer:

In your answer, you should discuss any experience that you have in designing and conducting experiments. You can talk about the types of experiments you’ve conducted, such as laboratory experiments, field experiments, or surveys. Be sure to mention how you used the scientific method in each experiment, from developing a hypothesis to analyzing data. If you don’t have much direct experience, you can still talk about what you’ve learned about designing and conducting experiments through coursework or research projects.

Example: “I have experience in designing and conducting experiments from my work as a research assistant at XYZ University. I’ve conducted laboratory experiments, field experiments, and surveys to test hypotheses about different topics. In each experiment, I followed the scientific method by formulating a hypothesis, developing an experimental design, collecting data, analyzing it, and drawing conclusions. Additionally, I’ve studied the principles of experimental design in courses such as statistics and psychology. This has given me a strong foundation for understanding how to properly design and conduct experiments.”

2. Describe a research project that you are particularly proud of and explain why.

Research scientists need to be able to think critically and creatively when it comes to problem solving. This question gives the interviewer an opportunity to get a sense of your problem-solving skills and how you approach research. It also gives them insight into the results of your work and the value you can bring to the position.

To answer this question, you should discuss your experience with designing and conducting experiments. Explain the types of experiments you have conducted in the past and how you went about creating a hypothesis and testing it. Talk about the tools and methods you used to analyze data and draw conclusions. Be sure to mention any successes or challenges you faced during the process and how you overcame them. Finally, explain what you learned from these experiences and how they will help you succeed in the role you are applying for.

Example: “I’m particularly proud of a research project I completed last year on the effects of climate change on coral reefs. To conduct this research, I designed experiments to measure the changes in temperature and pH levels in different reef environments. I used sophisticated data analysis tools to analyze the results and draw conclusions about how these changes were impacting the health of the coral. Through this project, I learned a lot about the importance of collecting accurate data and using it to make informed decisions. This experience has helped me develop my problem-solving skills and will be invaluable as I continue to pursue research projects in the future.”

3. How do you ensure the accuracy and reliability of your data?

Research scientists must be able to trust the data they’re working with. Your interviewer will be looking for an understanding of the various methods and processes used to verify the accuracy and reliability of your data, and how you go about ensuring that you’re working with the best possible data to create meaningful results.

You should be prepared to discuss the methods you use to verify data accuracy and reliability. This could include double-checking your sources, running experiments multiple times to ensure consistent results, or using statistical tests to measure the validity of your findings. You should also emphasize any processes you have in place to monitor the quality of the data over time, such as regular reviews or audits. Finally, show that you understand the importance of data integrity by mentioning the potential consequences of inaccurate data.

Example: “I take data accuracy and reliability very seriously. I always double-check my sources to make sure they’re reputable and up-to-date, and I use statistical tests to measure the validity of my findings. I also have a process in place for regular audits and reviews of the data to make sure it remains accurate over time. Most importantly, I understand that inaccurate data can lead to faulty conclusions, which could negatively affect both our research results and reputation. That’s why I’m committed to ensuring that all data is as reliable and accurate as possible.”

4. Explain how you use statistical analysis to interpret results from experiments.

Research scientists are expected to be able to draw meaningful conclusions from the data they collect. This question is designed to determine if you know how to use statistical analysis to make sense of the results you collect. The interviewer wants to know that you can interpret the data and use it to make decisions and draw conclusions.

To answer this question, you should explain how you use statistical analysis to interpret the results from experiments. Talk about what type of statistical tests you use and when you use them. Also discuss any special techniques or software that you use for data analysis. Finally, talk about how you use the results of your analysis to make decisions and draw meaningful conclusions.

Example: “I use a variety of statistical tests and software to interpret the results from experiments. My most commonly used test is ANOVA, which I use to compare differences between two or more groups of data. I also use regression analysis to identify relationships between variables, as well as chi-square tests to determine if there are any significant associations between different factors. In addition, I am proficient in using SPSS for both descriptive and inferential statistics. With all this data, I’m able to draw meaningful conclusions about my findings and make informed decisions based on the results.”

5. Are you familiar with any software programs used for data analysis?

Research scientists rely heavily on data analysis to inform their research and draw conclusions. This means they must be familiar with a variety of software programs that can help them analyze the data they’ve collected. If the position requires a specific software program, the interviewer may ask this question to ensure that you’re familiar with it and can use it effectively.

Before the interview, research which software programs are commonly used for data analysis in your field. Make sure you’re familiar with these programs and can explain how to use them. During the interview, provide specific examples of when you have used a particular program or software suite. If possible, mention any experience you have using the specific software that the company uses. Finally, be sure to emphasize your ability to quickly learn new software if necessary.

Example: “I’m very familiar with software programs used for data analysis. I have extensive experience using SPSS and SAS, which are both common statistical software packages. In my current role as a research scientist at XYZ Research Institute, I often use R to analyze large datasets. I also have some experience with MATLAB, and am confident that I could quickly learn any new software programs necessary for the position.”

6. What strategies do you use to stay up-to-date on new developments in your field?

Research scientists need to stay on top of the latest developments in their field. You need to demonstrate that you can use a variety of methods to stay informed, such as reading scientific journals, attending conferences, and networking with other researchers. This shows that you have the initiative to stay current and can think critically about how to apply new developments to your work.

Talk about the strategies you use to stay informed. For example, do you read scientific journals? Do you attend conferences and seminars? Do you network with other researchers in your field? You can also talk about how you apply this knowledge to your work. Talk about how you use new developments to inform your research or develop new methods for conducting experiments.

Example: “I stay up-to-date on new developments in my field by reading scientific journals and attending conferences, seminars, and networking events. I also use online resources to keep abreast of the latest research and findings. For example, I’m a member of several professional organizations that share information about new discoveries and advancements in our field. With this knowledge, I’m able to apply current research to my own work and develop innovative methods for conducting experiments.”

7. How do you handle conflicting opinions or interpretations of data within a team?

Research scientists often work in teams, and it’s important to know how you’d handle differences in opinion or interpretation of data. The interviewer wants to know if you can be flexible and open to new ideas, or if you’re more likely to stick to your own views and interpretations. They’ll also want to know if you can work collaboratively with other researchers, and if you’re able to come up with creative solutions to complex problems.

To answer this question, you should explain how you’d approach a situation in which opinions or interpretations of data conflict. You could talk about the importance of open dialogue and collaboration between team members, and how you would facilitate such conversations. You can also discuss your ability to be flexible and consider different perspectives, as well as your willingness to work together with other researchers to come up with creative solutions that everyone is happy with.

Example: “I believe that when it comes to conflicting opinions or interpretations of data, the most important thing is to be open to dialogue and discussion. I understand that everyone has their own perspective and experiences with a particular problem, so I always try to create an environment where team members can express those views without fear of judgment. This helps us gain different insights into the issue at hand and encourages creative solutions. I’m also comfortable taking a step back and looking at the bigger picture to ensure we’re all on the same page—and if not, I’m confident in my ability to work collaboratively with other researchers to come up with a solution that works for everyone.”

8. Describe a time when you had to troubleshoot an experiment that wasn’t producing expected results.

Research scientists need to have the skills to troubleshoot experiments that don’t turn out as expected. This could mean analyzing data to identify possible sources of error, coming up with alternative hypotheses and testing strategies, or reaching out to colleagues for advice. This question will help the interviewer understand how you approach problem-solving, your resourcefulness in difficult situations, and your ability to think critically and come up with creative solutions.

To answer this question, you should provide a specific example of when you had to troubleshoot an experiment. Describe the steps you took to identify and address the problem, what resources you used (e.g., colleagues, literature, etc.), and how you ultimately solved the issue. If possible, describe the results of your efforts and any lessons learned that you can apply to future experiments.

Example: “I recently had to troubleshoot a project that wasn’t producing the expected results. I first identified the possible sources of error by analyzing the data and examining the experimental procedure. Then, I reached out to a colleague who had experience with similar experiments and asked for her advice. Based on her feedback, I adjusted the experimental parameters and re-ran the experiment. The results were much closer to the expected outcome, and I was able to identify several key factors that had been overlooked in the initial setup. This experience taught me the importance of asking for help when needed and being willing to adjust the parameters of an experiment if necessary.”

9. What is your experience with writing scientific papers and presenting findings at conferences?

Scientific research is an ongoing process of experimentation, data collection, and analysis. It is also a field that is highly collaborative and results-driven, which means that research scientists need to be able to communicate their findings in order to be successful. This question is designed to assess your ability to communicate your findings in both written and verbal formats.

Be sure to provide concrete examples of your experience in writing scientific papers and presenting findings at conferences. If you have published any papers, be sure to mention this as it shows that your work is highly regarded by the scientific community. Additionally, if you have ever presented your research at a conference or symposium, talk about what you learned from the experience and how it helped you grow as a researcher. Finally, highlight any awards or recognitions you may have received for your work.

Example: “I have extensive experience in writing scientific papers and presenting findings at conferences. I have published several papers in peer-reviewed journals, and I have presented findings at numerous conferences, symposiums, and other events. I have also received awards for my research, including a prize for best paper presented at a major international conference. Presenting my research to an audience is something I really enjoy, as it allows me to share my findings with a larger audience and receive feedback from other researchers and professionals in the field.”

10. How do you approach developing hypotheses and testing them through experimentation?

The scientific method is the basis of any scientific research and understanding how you approach it is key to know whether you’ll be successful in this role. The interviewer will want to know that you’re able to develop hypotheses, use the right tools to test them, and draw meaningful conclusions from the results. They’ll also want to make sure you have the critical thinking skills to work through complex problems and the creativity to come up with innovative solutions.

This question is designed to assess your ability to think critically, develop hypotheses and test them through experimentation. To answer this question, you should explain the steps you take when approaching a problem. For example, you could discuss how you brainstorm potential solutions, evaluate each solution’s feasibility, create an experiment plan, execute experiments, analyze data, draw conclusions from the results, and present those findings. You should also emphasize any experience you have with designing experiments, collecting data, and analyzing the results of your experiments.

Example: “When I approach developing hypotheses and testing them through experimentation, I start by brainstorming potential solutions and evaluating each solution’s feasibility. Then, I create an experiment plan and execute the experiments. After that, I analyze the data, draw conclusions from the results, and present those findings. I have extensive experience designing experiments, collecting data, and analyzing the results of my experiments. I am confident in my ability to use the scientific method to evaluate hypotheses and draw meaningful conclusions from the results.”

11. What techniques do you use to identify potential sources of bias in experimental design?

Researchers must have an understanding of the potential sources of bias that could affect their experiment, and the ability to identify them quickly. By asking this question, the interviewer wants to know that the candidate can identify potential sources of bias and has the experience to design experiments that will minimize the risk of bias.

To answer this question, you should discuss the techniques that you use to identify potential sources of bias in experimental design. Common techniques include conducting a literature review and using statistical tests such as ANOVA or chi-squared tests. You can also mention methods such as blinding, randomization, and replication. Additionally, you should explain how these techniques help minimize the risk of bias in your experiments.

Example: “I use several different techniques to identify potential sources of bias in experimental design. I always begin by conducting a thorough literature review to understand the existing research in the field and identify potential sources of bias. Additionally, I use statistical tests such as ANOVA or chi-squared tests to assess the effects of certain variables. I also make sure to use techniques such as blinding, randomization, and replication to minimize the risk of bias in my experiments. By using these techniques, I can ensure that my research is accurate and reliable.”

12. Do you have any experience working with interdisciplinary teams?

Research scientists often have to collaborate with other scientists and researchers in various fields. This means that being able to work with people from different backgrounds and share ideas and opinions is essential. By asking this question, the interviewer is looking to see if you have the interpersonal skills needed to work with a diverse group of people, as well as the ability to think critically and come up with creative solutions.

To answer this question, you should provide an example of a team project you worked on and how you contributed to its success. Talk about the different backgrounds of the people on the team and how you were able to collaborate with them to reach a successful outcome. You can also discuss any challenges you faced while working in a multidisciplinary setting, as well as what you learned from the experience.

Example: “I recently worked on a project with a team of researchers from different disciplines, including biology, chemistry, and physics. We were tasked with developing a new drug to treat a specific condition. Working with this interdisciplinary team was a great learning experience for me. I was able to gain insight into different scientific perspectives and approaches, which allowed us to come up with a more creative and effective solution. I also learned the importance of communication and collaboration in a multidisciplinary setting, and how to effectively work with people from different backgrounds to reach our goal.”

13. How do you manage competing deadlines and prioritize tasks?

Research scientists often have to juggle multiple projects at once and manage competing goals and deadlines. An interviewer will want to know that you can not only handle the workload, but also prioritize tasks and manage your time efficiently. They’ll also be looking for evidence that you can stay organized and on top of your projects to ensure that you can complete them on time.

To answer this question, you should provide examples of how you have managed competing deadlines and tasks in the past. Talk about your strategies for staying organized and prioritizing tasks, such as creating to-do lists or using project management tools. You can also explain how you keep track of deadlines and manage your time efficiently by breaking down large tasks into smaller ones and setting daily goals. Be sure to emphasize any successes you’ve had with managing multiple projects at once.

Example: “I have a lot of experience managing competing deadlines and tasks. I start by breaking down larger projects into smaller, more manageable tasks and assigning each task a priority level. I use project management tools to help me stay organized and on track, and I set daily goals to make sure I’m always making progress. I also make sure to communicate regularly with my team and stakeholders to ensure that everyone is aware of the timeline and priorities. This has enabled me to successfully manage multiple projects at once and meet tight deadlines.”

14. What methods do you use to communicate complex scientific concepts to non-experts?

Being a research scientist isn’t just about doing experiments and collecting data. You’ll also need to be able to explain your findings to non-experts in a way that’s understandable, engaging, and actionable. This question helps interviewers see how you can take complex concepts and break them down into something accessible to a general audience. They’ll want to know that you can communicate your work in an effective and efficient way.

To answer this question, you should focus on the methods that have worked for you in the past. You can talk about how you use visuals (e.g., charts, graphs, diagrams) to explain complex concepts; how you break down information into smaller digestible pieces; and how you create stories or analogies to make abstract ideas easier to understand. You can also mention any public speaking engagements you’ve done as a research scientist, such as presenting at conferences or giving lectures.

Example: “I’ve found that visuals are one of the best ways to communicate complex scientific concepts to non-experts. I’ll often use charts and diagrams to illustrate my points, as well as create stories or analogies to make the information more accessible. I also like to break down complex topics into smaller, more digestible pieces to make it easier for people to understand. I’ve presented my research at numerous conferences and have had to adjust my approach based on the audience, so I’m comfortable communicating scientific concepts to a wide range of people.”

15. How do you evaluate the ethical implications of your research?

Working in a scientific field often means dealing with sensitive information or data that could be misused or misinterpreted. It’s important for interviewers to know that you’re aware of the ethical implications of your research and that you take the necessary steps to ensure that your data is secure and used responsibly.

Start by discussing the steps you take to evaluate the ethical implications of your research. This could include conducting a risk assessment, consulting with an ethics committee or advisor, and ensuring that all data is stored securely. Talk about any specific protocols or processes you have in place for evaluating the ethical implications of your research. Finally, mention any experiences you have had dealing with ethical issues related to research, such as working with vulnerable populations or handling confidential information.

Example: “I always take the necessary steps to evaluate the ethical implications of my research. I start by conducting a risk assessment to identify any potential issues and then consulting with an ethics committee or advisor to discuss the best course of action. I also take steps to ensure that all data is stored securely and that appropriate protocols are in place to protect the privacy of those involved in the research. In the past, I have had to work with vulnerable populations, so I am well-versed in the ethical considerations that come with such research and have experience implementing protocols to ensure that their privacy is respected.”

16. What strategies do you use to develop innovative solutions to challenging problems?

Research scientists are expected to think outside the box to create solutions to complex problems. This question gives the interviewer insight into how you approach difficult tasks and how you use data and research to develop solutions. It allows them to understand how you approach your work and how you think through problems.

To answer this question, you should explain the process you use to develop innovative solutions. This might include describing how you brainstorm ideas and weigh different options, how you research potential solutions and evaluate their effectiveness, or how you collaborate with colleagues to come up with creative solutions. You should also provide an example of a time when you used these strategies to solve a challenging problem.

Example: “I approach challenging problems by first doing research to understand the underlying cause of the issue. I then use brainstorming techniques to generate potential solutions and evaluate their feasibility. I also collaborate with other researchers and colleagues to get their input and ideas. For example, when I was faced with a difficult problem in developing a new drug delivery system, I first researched the current methods and technologies available. After brainstorming with the team and evaluating the potential solutions, we were able to develop a novel drug delivery system that was more efficient and cost-effective than existing methods.”

17. Have you ever encountered unexpected results during an experiment? How did you respond?

Research scientists are expected to be able to think on their feet when the data they collect doesn’t quite match the hypothesis they’re testing. This question is a chance for the interviewer to see if you’re able to adjust your approach on the fly and be open to new ideas and solutions.

Talk about a time when you encountered unexpected results during an experiment and how you responded. Be sure to explain the steps you took to investigate why your results were different than expected, such as running additional tests or consulting with colleagues. Show that you’re able to think critically and come up with creative solutions. Explain what you learned from this experience and how it has shaped your approach to future experiments.

Example: “In my most recent research project, I was studying the effects of a certain pesticide on a species of plant. I was expecting the plants to die off after exposure to the pesticide, but to my surprise, the plants actually began to thrive. I took this unexpected result as an opportunity to dig deeper and investigate why this might be. I ran additional tests and spoke with colleagues in related fields to gain more insight. Through this process, I discovered that the pesticide was actually providing the plants with much-needed nutrients, which explained why they were thriving. This experience taught me the importance of being open to unexpected results and using them as an opportunity to explore further and gain a deeper understanding of the topic at hand.”

18. Describe a time when you had to collaborate with other researchers to achieve a common goal.

Research is a team effort, and as a research scientist, you need to be able to work with others to achieve your goals. This question is designed to get an idea of how well you are able to collaborate with colleagues and how you handle challenges that may arise when working with a team.

You should be prepared to provide a specific example of a time when you had to collaborate with other researchers to achieve a common goal. Describe the project, your role in it, and how you worked with others to accomplish the task. Talk about any challenges that arose during the process and how you overcame them. Finally, discuss what you learned from the experience and how it has helped shape your approach to collaboration today.

Example: “I recently collaborated with a team of researchers to develop a new method of measuring the effects of climate change on coral reefs. My role was to help design and implement a data collection system that could accurately measure the changes in the coral reef over time. I worked closely with the other researchers to ensure that our data was accurate and that we were following the correct protocols. We encountered some challenges along the way, such as having to adjust our protocols and data collection methods as new information became available, but we were able to work together and come up with solutions. This experience taught me the importance of effective collaboration and how to work through challenges to achieve a common goal.”

19. What would you do if you encountered a problem that was outside of your area of expertise?

Research scientists are expected to be able to identify and solve problems that emerge in their work, and it’s important for the interviewer to know that the candidate can handle a situation if they come across something that is outside of their area of expertise. This question is designed to find out how the candidate would approach a difficult problem and how they would frame their research to come up with a solution.

The best way to answer this question is to explain the steps you would take to research and solve the problem. Start by talking about how you would identify the issue, then explain how you would use resources such as journals, books, or online databases to find out more information about it. Finally, discuss how you would apply your knowledge to come up with a solution. Be sure to emphasize that you are comfortable working outside of your comfort zone and that you enjoy learning new things.

Example: “If I encountered a problem that was outside of my area of expertise, I would first take the time to research the issue and gain an understanding of the underlying concepts. I would use resources such as academic journals, books, and online databases to build my knowledge base. I would also reach out to colleagues who might have experience with the issue or be familiar with relevant studies. Finally, I would use the information I gathered to develop a solution to the problem. I’m comfortable working outside of my comfort zone and I enjoy learning new things, so I’m confident that I could find a solution to any problem I may face.”

20. How do you keep track of all the different elements involved in a research project?

Research projects can be incredibly complex and require a great deal of organization and attention to detail. An interviewer will want to know how you keep track of all the different elements of a project and how you’re able to ensure that everything gets done in a timely and organized manner. This question can also be used to gauge how well you can handle multiple tasks and prioritize them efficiently.

To answer this question, you should explain the methods and tools that you use to stay organized. For example, you could mention using a project management system such as Trello or Asana, or keeping lists in a spreadsheet program like Excel or Google Sheets. You may also want to discuss how you break down projects into smaller tasks and prioritize them accordingly. Additionally, it’s important to emphasize your ability to be flexible and adjust plans when needed.

Example: “I’m very organized and I use a combination of tools to keep track of my research projects. I use a project management system like Asana to break down my projects into smaller tasks and prioritize them according to deadlines. I also keep a spreadsheet of all the elements involved in the project, including timelines, tasks, and any materials I need to collect. I find that having a visual representation of the project helps me stay on track and makes it easier to adjust my plans when needed.”

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Sample Interview Questions for Research

Candidate’s research.

• What is innovative about your research?
• How is your work distinct from your supervisor’s/principal investigator’s? How intellectually independent are you?
• What influences have you been exposed to? Do you think you have enough breadth of experience?
• Who has influenced you the most?
• What has been your role so far in developing research ideas and carrying them forward?
• What do you think are your most significant research accomplishments?
• What do you consider to be your best paper/work and why? What did it change about the way people approach the field?
• What are your most important publications?
• What has been the impact of your research?
• What papers do you have coming through in the next year?
• If we gave you the position what might go wrong? How will you manage the risks?

General Research Questions

• What do you see yourself doing in ten years' time? What are your professional goals in the next five, and ten years?
• How will this job help you achieve your long-term career plans?
• What would you do on the first day of the job?
• What are the big issues in your research area?
• Who are the key researchers in your area? How does your work compare with theirs?
• Who are your main competitors? What are they doing? How will you compete with them?
• Why would someone come to work for you and not for your competitors?
• How does your work align with contemporary trends or funding priorities?
• How would you bridge the gap from your research to research users?
• The university is keen to serve the wider community and economy. Does your planned research have any potential in these areas?
• How do you feel about translating your research into innovation or spin-outs? Can you give an example of when you have been enterprising?
• Describe in layperson’s terms and in two minutes why your research project is interesting.

Candidate's Capabilities

• How have you managed your research project?
• How do you balance your time? If several challenges came up at the same time (grant deadline, pastoral care for a student, teaching commitments) how would you prioritize?
• If you were starting your project again today, what would you do differently?
• Describe a research problem you have faced. What did you learn?
• What has been the most productive period in your research career and why?
• Why do you think you are ready for this position?
• If you get this position how will you run your research project?
• Why do you think you are the right person for this position?
• What experience do you have of attracting funding?
• Where will you apply for grants? If your funding applications are unsuccessful, what alternatives do you have in mind? (looking for knowledge of the funding infrastructure)
• How would you convince a funding body that they should fund your research rather than one of the other hundreds of proposals they receive?
• Who are you currently funded by, and why do you think they were interested in funding your project?

 Candidate’s Proposed Research

• What will be your major focus as an independent researcher?
• In one sentence, what is the most important question you want to address?
• How does the work you propose follow on from what you are already doing?
• What will you focus on and what gives you a competitive edge in this area?
• What is the overall importance of this project? How do you see this work impacting the field?
• What will you do if your hypothesis is proved wrong? Can you see any of your research proposals failing?
• Why is the technique you have chosen more likely to succeed than other approaches?
• Have you already done anything to test the feasibility of your project?
• If you could only do one aspect of this project, which one do you think is key?
• If we gave you unlimited resources, what would you do with them?
• If we gave you X amount of money, what would you do with it?
• What resources will you need?
• How would you deal with the more limited resources or facilities compared to what you anticipate for the project?
• How do you plan to manage this project on a day-to-day level?

Candidate’s Role as Supervisor/Teacher

• Describe your teaching experience. How do you feel about teaching? What is your teaching philosophy?
• Do you have any experience in curriculum development?
• Have you supervised doctoral candidates, and how did you find this experience? How did you manage them?
• What advice would you give to a new researcher about supervising undergraduate or masters students?
• How would you go about interviewing a prospective postgraduate researcher?
• How would you induce a new doctoral candidate into their research project?
• How would you go about motivating a researcher who is going through a low point?
• How would you deal with a weak researcher?
• How would you deal with any conflict/disagreement within the research group? Do you have an example of when you have had to deal with a disagreement?
• Do you anticipate building a research group? How many people would you like for it to be optimal?

 Candidate’s ‘fit’ with the department

• Why do you want to come here?
• What will you bring to the institution?
• We are keen to develop collaborations between departments. What opportunities for multi-disciplinary work does your research offer?
• How would you fit with the existing activities in the department? Who do would you expect to collaborate with in the institution? Why do you want to collaborate with them?
• What committee work have you done and what challenges has it presented?
• In what ways, other than research and teaching, could you contribute to this department?

Research Question

Ai generator.

A research question serves as the foundation of any academic study, driving the investigation and framing the scope of inquiry. It focuses the research efforts, ensuring that the study addresses pertinent issues systematically. Crafting a strong research question is essential as it directs the methodology, data collection, and analysis, ultimately shaping the study’s conclusions and contributions to the field.

What is a Research Question?

A research question is the central query that guides a study, focusing on a specific problem or issue. It defines the purpose and direction of the research, influencing the methodology and analysis. A well-crafted research question ensures the study remains relevant, systematic, and contributes valuable insights to the field.

Types of Research Questions

Research questions are a crucial part of any research project. They guide the direction and focus of the study. Here are the main types of research questions:

1. Descriptive Research Questions

These questions aim to describe the characteristics or functions of a specific phenomenon or group. They often begin with “what,” “who,” “where,” “when,” or “how.”

• What are the common symptoms of depression in teenagers?

2. Comparative Research Questions

These questions compare two or more groups or variables to identify differences or similarities.

• How do the academic performances of students in private schools compare to those in public schools?

3. Correlational Research Questions

These questions seek to identify the relationships between two or more variables. They often use terms like “relationship,” “association,” or “correlation.”

• Is there a relationship between social media usage and self-esteem among adolescents?

4. Causal Research Questions

These questions aim to determine whether one variable causes or influences another. They are often used in experimental research.

• Does a new teaching method improve student engagement in the classroom?

5. Exploratory Research Questions

These questions are used when the researcher is exploring a new area or seeking to understand a complex phenomenon. They are often open-ended.

• What factors contribute to the success of start-up companies in the tech industry?

6. Predictive Research Questions

These questions aim to predict future occurrences based on current or past data. They often use terms like “predict,” “forecast,” or “expect.”

• Can high school GPA predict college success?

7. Evaluative Research Questions

These questions assess the effectiveness or impact of a program, intervention, or policy .

• How effective is the new community outreach program in reducing homelessness?

8. Ethnographic Research Questions

These questions are used in qualitative research to understand cultural phenomena from the perspective of the participants.

• How do cultural beliefs influence healthcare practices in rural communities?

9. Case Study Research Questions

These questions focus on an in-depth analysis of a specific case, event, or instance.

• What were the critical factors that led to the failure of Company X?

10. Phenomenological Research Questions

These questions explore the lived experiences of individuals to understand a particular phenomenon.

• What is the experience of living with chronic pain?

Research Question Format

A well-formulated research question is essential for guiding your study effectively. Follow this format to ensure clarity and precision:

• Begin with a broad subject area.
• Example: “Education technology”
• Define a specific aspect or variable.
• Example: “Impact of digital tools”
• Decide if you are describing, comparing, or investigating relationships.
• Example: “Effectiveness”
• Identify who or what is being studied.
• Example: “High school students”
• Formulate the complete question.
• Example: “How effective are digital tools in enhancing the learning experience of high school students?”

Sample Format: “How [specific aspect] affects [target population] in [context]?” Example: “How does the use of digital tools affect the academic performance of high school students in urban areas?”

Research Question Examples

Research questions in business.

• “What are the primary factors influencing customer loyalty in the retail industry?”
• “How does employee satisfaction differ between remote work and in-office work environments in tech companies?”
• “What is the relationship between social media marketing and brand awareness among small businesses?”
• “How does implementing a four-day workweek impact productivity in consulting firms?”
• “What are the emerging trends in consumer behavior post-COVID-19 in the e-commerce sector?”
• “Why do some startups succeed in attracting venture capital while others do not?”
• “How effective is corporate social responsibility in enhancing brand reputation for multinational companies?”
• “How do decision-making processes in family-owned businesses differ from those in publicly traded companies?”
• “What strategies do successful entrepreneurs use to scale their businesses in competitive markets?”
• “How does supply chain management affect the operational efficiency of manufacturing firms?”

Research Questions in Education

• “What are the most common challenges faced by first-year teachers in urban schools?”
• “How do student achievement levels differ between traditional classrooms and blended learning environments?”
• “What is the relationship between parental involvement and student academic performance in elementary schools?”
• “How does the implementation of project-based learning affect critical thinking skills in middle school students?”
• “What are the emerging trends in the use of artificial intelligence in education?”
• “Why do some students perform better in standardized tests than others despite similar instructional methods?”
• “How effective is the flipped classroom model in improving student engagement and learning outcomes in high school science classes?”
• “How do teachers’ professional development programs impact teaching practices and student outcomes in rural schools?”
• “What strategies can be employed to reduce the dropout rate among high school students in low-income areas?”
• “How does classroom size affect the quality of teaching and learning in elementary schools?”

Research Questions in Health Care

• “What are the most common barriers to accessing mental health services in rural areas?”
• “How does patient satisfaction differ between telemedicine and in-person consultations in primary care?”
• “What is the relationship between diet and the incidence of type 2 diabetes in adults?”
• “How does regular physical activity influence the recovery rate of patients with cardiovascular diseases?”
• “What are the emerging trends in the use of wearable technology for health monitoring?”
• “Why do some patients adhere to their medication regimen while others do not despite similar health conditions?”
• “How effective are community-based health interventions in reducing obesity rates among children?”
• “How do interdisciplinary team meetings impact patient care in hospitals?”
• “What strategies can be implemented to reduce the spread of infectious diseases in healthcare settings?”
• “How does nurse staffing level affect patient outcomes in intensive care units?”

Research Questions in Computer Science

• “What are the key features of successful machine learning algorithms used in natural language processing?”
• “How does the performance of quantum computing compare to classical computing in solving complex optimization problems?”
• “What is the relationship between software development methodologies and project success rates in large enterprises?”
• “How does the implementation of cybersecurity protocols impact the frequency of data breaches in financial institutions?”
• “What are the emerging trends in blockchain technology applications beyond cryptocurrency?”
• “Why do certain neural network architectures outperform others in image recognition tasks?”
• “How effective are different code review practices in reducing bugs in open-source software projects?”
• “How do agile development practices influence team productivity and product quality in software startups?”
• “What strategies can improve the scalability of distributed systems in cloud computing environments?”
• “How does the choice of programming language affect the performance and maintainability of enterprise-level software applications?”

Research Questions in Psychology

• “What are the most common symptoms of anxiety disorders among adolescents?”
• “How does the level of job satisfaction differ between remote workers and in-office workers?”
• “What is the relationship between social media use and self-esteem in teenagers?”
• “How does cognitive-behavioral therapy (CBT) affect the severity of depression symptoms in adults?”
• “What are the emerging trends in the treatment of post-traumatic stress disorder (PTSD)?”
• “Why do some individuals develop resilience in the face of adversity while others do not?”
• “How effective are mindfulness-based interventions in reducing stress levels among college students?”
• “How does group therapy influence the social skills development of children with autism spectrum disorder?”
• “What strategies can improve the early diagnosis of bipolar disorder in young adults?”
• “How do sleep patterns affect cognitive functioning and academic performance in high school students?”

More Research Question Examples

Research question examples for students.

• “What are the primary study habits of high-achieving college students?”
• “How do academic performances differ between students who participate in extracurricular activities and those who do not?”
• “What is the relationship between time management skills and academic success in high school students?”
• “How does the use of technology in the classroom affect students’ engagement and learning outcomes?”
• “What are the emerging trends in online learning platforms for high school students?”
• “Why do some students excel in standardized tests while others struggle despite similar study efforts?”
• “How effective are peer tutoring programs in improving students’ understanding of complex subjects?”
• “How do different teaching methods impact the learning process of students with learning disabilities?”
• “What strategies can help reduce test anxiety among middle school students?”
• “How does participation in group projects affect the development of collaboration skills in university students?”

Research Question Examples for College Students

• “What are the most common stressors faced by college students during final exams?”
• “How does academic performance differ between students who live on campus and those who commute?”
• “What is the relationship between part-time employment and GPA among college students?”
• “How does participation in study abroad programs impact cultural awareness and academic performance?”
• “What are the emerging trends in college students’ use of social media for academic purposes?”
• “Why do some college students engage in academic dishonesty despite awareness of the consequences?”
• “How effective are university mental health services in addressing students’ mental health issues?”
• “How do different learning styles affect the academic success of college students in online courses?”
• “What strategies can be employed to improve retention rates among first-year college students?”
• “How does participation in extracurricular activities influence leadership skills development in college students?”

Research Question Examples in Statistics

• “What are the most common statistical methods used in medical research?”
• “How does the accuracy of machine learning models compare to traditional statistical methods in predicting housing prices?”
• “What is the relationship between sample size and the power of a statistical test in clinical trials?”
• “How does the use of random sampling affect the validity of survey results in social science research?”
• “What are the emerging trends in the application of Bayesian statistics in data science?”
• “Why do some datasets require transformation before applying linear regression models?”
• “How effective are bootstrapping techniques in estimating the confidence intervals of small sample data?”
• “How do different imputation methods impact the results of analyses with missing data?”
• “What strategies can improve the interpretation of interaction effects in multiple regression analysis?”
• “How does the choice of statistical software affect the efficiency of data analysis in academic research?”

Research Question Examples in Socialogy

• “What are the primary social factors contributing to urban poverty in major cities?”
• “How does the level of social integration differ between immigrants and native-born citizens in urban areas?”
• “What is the relationship between educational attainment and social mobility in different socioeconomic classes?”
• “How does exposure to social media influence political participation among young adults?”
• “What are the emerging trends in family structures and their impact on child development?”
• “Why do certain communities exhibit higher levels of civic engagement than others?”
• “How effective are community policing strategies in reducing crime rates in diverse neighborhoods?”
• “How do socialization processes differ in single-parent households compared to two-parent households?”
• “What strategies can be implemented to reduce racial disparities in higher education enrollment?”
• “How does the implementation of public housing policies affect the quality of life for low-income families?”

Research Question Examples in Biology

• “What are the primary characteristics of the various stages of mitosis in eukaryotic cells?”
• “How do the reproductive strategies of amphibians compare to those of reptiles?”
• “What is the relationship between genetic diversity and the resilience of plant species to climate change?”
• “How does the presence of pollutants in freshwater ecosystems impact the growth and development of aquatic organisms?”
• “What are the emerging trends in the use of CRISPR technology for gene editing in agricultural crops?”
• “Why do certain bacteria develop antibiotic resistance more rapidly than others?”
• “How effective are different conservation strategies in protecting endangered species?”
• “How do various environmental factors influence the process of photosynthesis in marine algae?”
• “What strategies can enhance the effectiveness of reforestation programs in tropical rainforests?”
• “How does the method of seed dispersal affect the spatial distribution and genetic diversity of plant populations?”

Research Question Examples in History

• “What were the key social and economic factors that led to the Industrial Revolution in Britain?”
• “How did the political systems of ancient Athens and ancient Sparta differ in terms of governance and citizen participation?”
• “What is the relationship between the Renaissance and the subsequent scientific revolution in Europe?”
• “How did the Treaty of Versailles contribute to the rise of Adolf Hitler and the onset of World War II?”
• “What are the emerging perspectives on the causes and impacts of the American Civil Rights Movement?”
• “Why did the Roman Empire decline and eventually fall despite its extensive power and reach?”
• “How effective were the New Deal programs in alleviating the effects of the Great Depression in the United States?”
• “How did the processes of colonization and decolonization affect the political landscape of Africa in the 20th century?”
• “What strategies did the suffragette movement use to secure voting rights for women in the early 20th century?”
• “How did the logistics and strategies of the D-Day invasion contribute to the Allied victory in World War II?”

Importance of Research Questions

Research questions are fundamental to the success and integrity of any study. Their importance can be highlighted through several key aspects:

• Research questions provide a clear focus and direction for the study, ensuring that the researcher remains on track.
• Example: “How does online learning impact student engagement in higher education?”
• They establish the boundaries of the research, determining what will be included or excluded.
• Example: “What are the effects of air pollution on respiratory health in urban areas?”
• Research questions dictate the choice of research design, methodology, and data collection techniques.
• Example: “What is the relationship between physical activity and mental health in adolescents?”
• They make the objectives of the research explicit, providing clarity and precision to the study’s goals.
• Example: “Why do some startups succeed in securing venture capital while others fail?”
• Well-crafted research questions emphasize the significance and relevance of the study, justifying its importance.
• Example: “How effective are public health campaigns in increasing vaccination rates among young adults?”
• They enable a systematic approach to inquiry, ensuring that the study is coherent and logically structured.
• Example: “What are the social and economic impacts of remote work on urban communities?”
• Research questions offer a framework for analyzing and interpreting data, guiding the researcher in making sense of the findings.
• Example: “How does social media usage affect self-esteem among teenagers?”
• By addressing specific gaps or exploring new areas, research questions ensure that the study contributes meaningfully to the existing body of knowledge.
• Example: “What are the emerging trends in the use of artificial intelligence in healthcare?”
• Clear and precise research questions increase the credibility and reliability of the research by providing a focused approach.
• Example: “How do educational interventions impact literacy rates in low-income communities?”
• They help in clearly communicating the purpose and findings of the research to others, including stakeholders, peers, and the broader academic community.
• Example: “What strategies are most effective in reducing youth unemployment in developing countries?”

Research Question vs. Hypothesis

Chracteristics of research questions.

Research questions are fundamental to the research process as they guide the direction and focus of a study. Here are the key characteristics of effective research questions:

1. Clear and Specific

• The question should be clearly articulated and specific enough to be understood without ambiguity.
• Example: “What are the effects of social media on teenagers’ mental health?” rather than “How does social media affect people?”

2. Focused and Researchable

• The question should be narrow enough to be answerable through research and data collection.
• Example: “How does participation in extracurricular activities impact academic performance in high school students?” rather than “How do activities affect school performance?”

3. Complex and Analytical

• The question should require more than a simple yes or no answer and should invite analysis and discussion.
• Example: “What factors contribute to the success of renewable energy initiatives in urban areas?” rather than “Is renewable energy successful?”

4. Relevant and Significant

• The question should address an important issue or problem in the field of study and contribute to knowledge or practice.
• Example: “How does climate change affect agricultural productivity in developing countries?” rather than “What is climate change?”

5. Feasible and Practical

• The question should be feasible to answer within the constraints of time, resources, and access to information.
• Example: “What are the challenges faced by remote workers in the tech industry during the COVID-19 pandemic?” rather than “What are the challenges of remote work?”

6. Original and Novel

• The question should offer a new perspective or explore an area that has not been extensively studied.
• Example: “How do virtual reality technologies influence empathy in healthcare training?” rather than “What is virtual reality?”
• The question should be framed in a way that ensures the research can be conducted ethically.
• Example: “What are the impacts of privacy laws on consumer data protection in the digital age?” rather than “How can we collect personal data more effectively?”

8. Open-Ended

• The question should encourage detailed responses and exploration, rather than limiting answers to a simple yes or no.
• Example: “In what ways do cultural differences affect communication styles in multinational companies?” rather than “Do cultural differences affect communication?”

9. Aligned with Research Goals

• The question should align with the overall objectives of the research project or study.
• Example: “How do early childhood education programs influence long-term academic achievement?” if the goal is to understand educational impacts.

10. Based on Prior Research

• The question should build on existing literature and research, identifying gaps or new angles to explore.
• Example: “What strategies have proven effective in reducing urban air pollution in European cities?” after reviewing current studies on air pollution strategies.

Benefits of Research Question

Research questions are fundamental to the research process and offer numerous benefits, which include the following:

1. Guides the Research Process

A well-defined research question provides a clear focus and direction for your study. It helps in determining what data to collect, how to collect it, and how to analyze it.

Benefit: Ensures that the research stays on track and addresses the specific issue at hand.

2. Clarifies the Purpose of the Study

Research questions help to articulate the purpose and objectives of the study. They make it clear what the researcher intends to explore, describe, compare, or test.

Benefit: Helps in communicating the goals and significance of the research to others, including stakeholders and funding bodies.

3. Determines the Research Design

The type of research question informs the research design, including the choice of methodology, data collection methods, and analysis techniques.

Benefit: Ensures that the chosen research design is appropriate for answering the specific research question, enhancing the validity and reliability of the results.

4. Enhances Literature Review

A well-crafted research question provides a framework for conducting a thorough literature review. It helps in identifying relevant studies, theories, and gaps in existing knowledge.

Benefit: Facilitates a comprehensive understanding of the topic and ensures that the research is grounded in existing literature.

5. Focuses Data Collection

Research questions help in identifying the specific data needed to answer them. This focus prevents the collection of unnecessary data and ensures that all collected data is relevant to the study.

Benefit: Increases the efficiency of data collection and analysis, saving time and resources.

6. Improves Data Analysis

Having a clear research question aids in the selection of appropriate data analysis methods. It helps in determining how the data will be analyzed to draw meaningful conclusions.

Benefit: Enhances the accuracy and relevance of the findings, making them more impactful.

7. Facilitates Hypothesis Formation

In quantitative research, research questions often lead to the development of hypotheses that can be tested statistically.

Benefit: Provides a basis for hypothesis testing, which is essential for establishing cause-and-effect relationships.

8. Supports Result Interpretation

Research questions provide a lens through which the results of the study can be interpreted. They help in understanding what the findings mean in the context of the research objectives.

Benefit: Ensures that the conclusions drawn from the research are aligned with the original aims and objectives.

9. Enhances Reporting and Presentation

A clear research question makes it easier to organize and present the research findings. It helps in structuring the research report or presentation logically.

Benefit: Improves the clarity and coherence of the research report, making it more accessible and understandable to the audience.

10. Encourages Critical Thinking

Formulating research questions requires critical thinking and a deep understanding of the subject matter. It encourages researchers to think deeply about what they want to investigate and why.

Benefit: Promotes a more thoughtful and analytical approach to research, leading to more robust and meaningful findings.

How to Write a Research Question

Crafting a strong research question is crucial for guiding your study effectively. Follow these steps to write a clear and focused research question:

Identify a Broad Topic:

Start with a general area of interest that you are passionate about or that is relevant to your field. Example: “Climate change”

Conduct Preliminary Research:

Explore existing literature and studies to understand the current state of knowledge and identify gaps. Example: “Impact of climate change on agriculture”

Narrow Down the Topic:

Focus on a specific aspect or issue within the broad topic to make the research question more manageable. Example: “Effect of climate change on crop yields”

Consider the Scope:

Ensure the question is neither too broad nor too narrow. It should be specific enough to be answerable but broad enough to allow for thorough exploration. Example: “How does climate change affect corn crop yields in the Midwest United States?”

Determine the Research Type:

Decide whether your research will be descriptive, comparative, relational, or causal, as this will shape your question. Example: “How does climate change affect corn crop yields in the Midwest United States over the past decade?”

Formulate the Question:

Write a clear, concise question that specifies the variables, population, and context. Example: “What is the impact of increasing temperatures and changing precipitation patterns on corn crop yields in the Midwest United States from 2010 to 2020?”

Ensure Feasibility:

Make sure the question can be answered within the constraints of your resources, time, and data availability. Example: “How have corn crop yields in the Midwest United States been affected by climate change-related temperature increases and precipitation changes between 2010 and 2020?”

Review and Refine:

Evaluate the question for clarity, focus, and relevance. Revise as necessary to ensure it is well-defined and researchable. Example: “What are the specific impacts of temperature increases and changes in precipitation patterns on corn crop yields in the Midwest United States from 2010 to 2020?”

What is a research question?

A research question is a specific query guiding a study’s focus and objectives, shaping its methodology and analysis.

Why is a research question important?

It provides direction, defines scope, ensures relevance, and guides the methodology of the research.

How do you formulate a research question?

Identify a topic, narrow it down, conduct preliminary research, and ensure it is clear, focused, and researchable.

What makes a good research question?

Clarity, specificity, feasibility, relevance, and the ability to guide the research effectively.

Can a research question change?

Yes, it can evolve based on initial findings, further literature review, and the research process.

What is the difference between a research question and a hypothesis?

A research question guides the study; a hypothesis is a testable prediction about the relationship between variables.

How specific should a research question be?

It should be specific enough to provide clear direction but broad enough to allow for comprehensive investigation.

What are examples of good research questions?

Examples include: “How does social media affect academic performance?” and “What are the impacts of climate change on agriculture?”

Can a research question be too broad?

Yes, a too broad question can make the research unfocused and challenging to address comprehensively.

What role does a research question play in literature reviews?

It helps identify relevant studies, guides the search for literature, and frames the review’s focus.

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