qualitative research interview questions sample

Top 20 Qualitative Research Interview Questions & Answers

Master your responses to Qualitative Research related interview questions with our example questions and answers. Boost your chances of landing the job by learning how to effectively communicate your Qualitative Research capabilities.

Diving into the intricacies of human behavior, thoughts, and experiences is the lifeblood of qualitative research. As a professional in this nuanced field, you are well-versed in the art of gathering rich, descriptive data that can provide deep insights into complex issues. Now, as you prepare to take on new challenges in your career, it’s time to demonstrate not only your expertise in qualitative methodologies but also your ability to think critically and adapt to various research contexts.

Whether you’re interviewing for an academic position, a role within a market research firm, or any other setting where qualitative skills are prized, being prepared with thoughtful responses to potential interview questions can set you apart from other candidates. In this article, we will discuss some of the most common questions asked during interviews for qualitative research roles, offering guidance on how best to articulate your experience and approach to prospective employers.

Common Qualitative Research Interview Questions

1. how do you ensure the credibility of your data in qualitative research.

Ensuring credibility in qualitative research is crucial for the trustworthiness of the findings. By asking about methodological rigor, the interviewer is assessing a candidate’s understanding of strategies such as triangulation, member checking, and maintaining a detailed audit trail, which are essential for substantiating the integrity of qualitative data.

When responding to this question, you should articulate a multi-faceted approach to establishing credibility. Begin by highlighting your understanding of the importance of a well-defined research design and data collection strategy. Explain how you incorporate methods like triangulation, using multiple data sources or perspectives to confirm the consistency of the information obtained. Discuss your process for member checking—obtaining feedback on your findings from the participants themselves—to add another layer of validation. Mention your dedication to keeping a comprehensive audit trail, documenting all stages of the research process, which enables peer scrutiny and adds to the transparency of the study. Emphasize your ongoing commitment to reflexivity, where you continually examine your biases and influence on the research. Through this detailed explanation, you demonstrate a conscientious and systematic approach to safeguarding the credibility of your qualitative research.

Example: “ To ensure the credibility of data in qualitative research, I employ a rigorous research design that is both systematic and reflective. Initially, I establish clear protocols for data collection, which includes in-depth interviews, focus groups, and observations, ensuring that each method is well-suited to the research questions. To enhance the validity of the findings, I apply triangulation, drawing on various data sources, theoretical frameworks, and methodologies to cross-verify the information and interpretations.

During the analysis phase, member checking is a critical step, where I return to participants with a summary of the findings to validate the accuracy and resonance of the interpreted data with their experiences. This not only strengthens the credibility of the results but also enriches the data by incorporating participant insights. Furthermore, I maintain a comprehensive audit trail, meticulously documenting the research process, decisions made, and data transformations. This transparency allows for peer review and ensures that the research can be followed and critiqued by others in the field.

Lastly, reflexivity is integral to my practice. I continuously engage in self-reflection to understand and articulate my biases and assumptions and how they may influence the research process. By doing so, I can mitigate potential impacts on the data and interpretations, ensuring that the findings are a credible representation of the phenomenon under investigation.”

2. Describe a situation where you had to adapt your research methodology due to unforeseen challenges.

When unexpected variables arise, adaptability in research design is vital to maintain the integrity and validity of the study. This question seeks to assess a candidate’s problem-solving skills, flexibility, and resilience in the face of research challenges.

When responding, share a specific instance where you encountered a challenge that impacted your research methodology. Detail the nature of the challenge, the thought process behind your decision to adapt, the steps you took to revise your approach, and the outcome of those changes. Emphasize your critical thinking, your ability to consult relevant literature or peers if necessary, and how your adaptability contributed to the overall success or learning experience of the research project.

Example: “ In a recent qualitative study on community health practices, I encountered a significant challenge when the planned in-person interviews became unfeasible due to a sudden public health concern. The initial methodology was designed around face-to-face interactions to capture rich, detailed narratives. However, with participant safety as a priority, I quickly pivoted to remote data collection methods. After reviewing relevant literature on virtual qualitative research, I adapted the protocol to include video conferencing and phone interviews, ensuring I could still engage deeply with participants. This adaptation required a reevaluation of our ethical considerations, particularly around confidentiality and informed consent in digital formats.

The shift to remote interviews introduced concerns about potential biases, as the change might exclude individuals without access to the necessary technology. To mitigate this, I also offered the option of asynchronous voice recordings or email responses as a means to participate. This inclusive approach not only preserved the integrity of the study but also revealed an unexpected layer of data regarding digital literacy and access in the community. The study’s findings were robust, and the methodology adaptation was reflected upon in the final report, contributing to the discourse on the flexibility and resilience of qualitative research in dynamic contexts.”

3. What strategies do you employ for effective participant observation?

For effective participant observation, a balance between immersion and detachment is necessary to gather in-depth understanding without influencing the natural setting. This method allows the researcher to collect rich, contextual data that surveys or structured interviews might miss.

When responding to this question, highlight your ability to blend in with the participant group to minimize your impact on their behavior. Discuss your skills in active listening, detailed note-taking, and ethical considerations such as informed consent and maintaining confidentiality. Mention any techniques you use to reflect on your observations critically and how you ensure that your presence does not alter the dynamics of the group you are studying. It’s also effective to provide examples from past research where your participant observation led to valuable insights that informed your study’s findings.

Example: “ In participant observation, my primary strategy is to achieve a balance between immersion and detachment. I immerse myself in the environment to gain a deep understanding of the context and participants’ perspectives, while remaining sufficiently detached to observe and analyze behaviors and interactions objectively. To blend in, I adapt to the cultural norms and social cues of the group, which often involves a period of learning and adjustment to minimize my impact on their behavior.

Active listening is central to my approach, allowing me to capture the subtleties of communication beyond verbal exchanges. I complement this with meticulous note-taking, often employing a system of shorthand that enables me to record details without disrupting the flow of interaction. Ethically, I prioritize informed consent and confidentiality, ensuring participants are aware of my role and the study’s purpose. After observations, I engage in reflexive practice, critically examining my own biases and influence on the research setting. This reflexivity was instrumental in a past project where my awareness of my impact on group dynamics led to the discovery of underlying power structures that were not immediately apparent, significantly enriching the study’s findings.”

4. In what ways do you maintain ethical standards while conducting in-depth interviews?

Maintaining ethical standards during in-depth interviews involves respecting participant confidentiality, ensuring informed consent, and being sensitive to power dynamics. Ethical practice in this context is not only about adhering to institutional guidelines but also about fostering an environment where interviewees feel respected and understood.

When responding to this question, it’s vital to articulate a clear understanding of ethical frameworks such as confidentiality and informed consent. Describe specific strategies you employ, such as anonymizing data, obtaining consent through clear communication about the study’s purpose and the participant’s role, and ensuring the interviewee’s comfort and safety during the conversation. Highlight any training or certifications you’ve received in ethical research practices and give examples from past research experiences where you navigated ethical dilemmas successfully. This approach demonstrates your commitment to integrity in the research process and your ability to protect the well-being of your subjects.

Example: “ Maintaining ethical standards during in-depth interviews is paramount to the integrity of the research process. I ensure that all participants are fully aware of the study’s purpose, their role within it, and the ways in which their data will be used. This is achieved through a clear and comprehensive informed consent process. I always provide participants with the option to withdraw from the study at any point without penalty.

To safeguard confidentiality, I employ strategies such as anonymizing data and using secure storage methods. I am also attentive to the comfort and safety of interviewees, creating a respectful and non-threatening interview environment. In situations where sensitive topics may arise, I am trained to handle these with the necessary care and professionalism. For instance, in a past study involving vulnerable populations, I implemented additional privacy measures and worked closely with an ethics review board to navigate the complexities of the research context. My approach is always to prioritize the dignity and rights of the participants, adhering to ethical guidelines and best practices established in the field.”

5. How do you approach coding textual data without personal biases influencing outcomes?

When an interviewer poses a question about coding textual data free from personal biases, they are probing your ability to maintain objectivity and adhere to methodological rigor. This question tests your understanding of qualitative analysis techniques and your awareness of the researcher’s potential to skew data interpretation.

When responding, it’s essential to articulate your familiarity with established coding procedures such as open, axial, or thematic coding. Emphasize your systematic approach to data analysis, which might include multiple rounds of coding, peer debriefing, and maintaining a reflexive journal. Discuss the importance of bracketing your preconceptions during data analysis and how you would seek to validate your coding through methods such as triangulation or member checking. Your answer should convey a balance between a structured approach to coding and an openness to the data’s nuances, demonstrating your commitment to producing unbiased and trustworthy qualitative research findings.

Example: “ In approaching textual data coding, I adhere to a structured yet flexible methodology that mitigates personal bias. Initially, I engage in open coding to categorize data based on its manifest content, allowing patterns to emerge organically. This is followed by axial coding, where I explore connections between categories, and if applicable, thematic coding to identify overarching themes. Throughout this process, I maintain a reflexive journal to document my thought process and potential biases, ensuring transparency and self-awareness.

To ensure the reliability of my coding, I employ peer debriefing sessions, where colleagues scrutinize my coding decisions, challenging assumptions and offering alternative interpretations. This collaborative scrutiny helps to counteract any personal biases that might have crept into the analysis. Additionally, I utilize methods such as triangulation, comparing data across different sources, and member checking, soliciting feedback from participants on the accuracy of the coded data. These strategies collectively serve to validate the coding process and ensure that the findings are a credible representation of the data, rather than a reflection of my preconceptions.”

6. What is your experience with utilizing grounded theory in qualitative studies?

Grounded theory is a systematic methodology that operates almost in a reverse fashion from traditional research. Employers ask about your experience with grounded theory to assess your ability to conduct research that is flexible and adaptable to the data.

When responding, you should outline specific studies or projects where you’ve applied grounded theory. Discuss the nature of the data you worked with, the process of iterative data collection and analysis, and how you developed a theoretical framework as a result. Highlight any challenges you faced and how you overcame them, as well as the outcomes of your research. This will show your practical experience and your ability to engage deeply with qualitative data to extract meaningful theories and conclusions.

Example: “ In applying grounded theory to my qualitative studies, I have embraced its iterative approach to develop a theoretical framework grounded in empirical data. For instance, in a project exploring the coping mechanisms of individuals with chronic illnesses, I conducted in-depth interviews and focus groups, allowing the data to guide the research process. Through constant comparative analysis, I coded the data, identifying core categories and the relationships between them. This emergent coding process was central to refining and saturating the categories, ensuring the development of a robust theory that encapsulated the lived experiences of the participants.

Challenges such as data saturation and ensuring theoretical sensitivity were navigated by maintaining a balance between openness to the data and guiding research questions. The iterative nature of grounded theory facilitated the identification of nuanced coping strategies that were not initially apparent, leading to a theory that emphasized the dynamic interplay between personal agency and social support. The outcome was a substantive theory that not only provided a deeper understanding of the participants’ experiences but also had practical implications for designing support systems for individuals with chronic conditions.”

7. Outline the steps you take when conducting a thematic analysis.

Thematic analysis is a method used to identify, analyze, and report patterns within data, and it requires a systematic approach to ensure validity and reliability. This question assesses whether a candidate can articulate a clear, methodical process that will yield insightful findings from qualitative data.

When responding, you should outline a step-by-step process that begins with familiarization with the data, whereby you immerse yourself in the details, taking notes and highlighting initial ideas. Proceed to generating initial codes across the entire dataset, which involves organizing data into meaningful groups. Then, search for themes by collating codes into potential themes and gathering all data relevant to each potential theme. Review these themes to ensure they work in relation to the coded extracts and the entire dataset, refining them as necessary. Define and name themes, which entails developing a detailed analysis of each theme and determining the essence of what each theme is about. Finally, report the findings, weaving the analytic narrative with vivid examples, within the context of existing literature and the research questions. This methodical response not only showcases your technical knowledge but also demonstrates an organized thought process and the ability to communicate complex procedures clearly.

Example: “ In conducting a thematic analysis, I begin by thoroughly immersing myself in the data, which involves meticulously reading and re-reading the content to gain a deep understanding of its breadth and depth. During this stage, I make extensive notes and begin to mark initial ideas that strike me as potentially significant.

Following familiarization, I generate initial codes systematically across the entire dataset. This coding process is both reflective and interpretative, as it requires me to identify and categorize data segments that are pertinent to the research questions. These codes are then used to organize the data into meaningful groups.

Next, I search for themes by examining the codes and considering how they may combine to form overarching themes. This involves collating all the coded data relevant to each potential theme and considering the interrelationships between codes, themes, and different levels of themes, which may include sub-themes.

The subsequent step is to review these themes, checking them against the dataset to ensure they accurately represent the data. This may involve collapsing some themes into each other, splitting others, and refining the specifics of each theme. The essence of this iterative process is to refine the themes so that they tell a coherent story about the data.

Once the themes are satisfactorily developed, I define and name them. This involves a detailed analysis of each theme and determining what aspect of the data each theme captures. I aim to articulate the nuances within each theme, identifying the story that each tells about the data, and considering how this relates to the broader research questions and literature.

Lastly, I report the findings, weaving together the thematic analysis narrative. This includes selecting vivid examples that compellingly illustrate each theme, discussing how the themes interconnect, and situating them within the context of existing literature and the research questions. This final write-up is not merely about summarizing the data but about telling a story that provides insights into the research topic.”

8. When is it appropriate to use focus groups rather than individual interviews, and why?

Choosing between focus groups and individual interviews depends on the research goals and the nature of the information sought. Focus groups excel in exploring complex behaviors, attitudes, and experiences through the dynamic interaction of participants.

When responding to this question, articulate the strengths of both methods, matching them to specific research scenarios. For focus groups, emphasize your ability to facilitate lively, guided discussions that leverage group dynamics to elicit a breadth of perspectives. For individual interviews, highlight your skill in creating a safe, confidential space where participants can share detailed, personal experiences. Demonstrate strategic thinking by discussing how you would decide on the most suitable method based on the research question, participant characteristics, and the type of data needed to achieve your research objectives.

Example: “ Focus groups are particularly apt when the research question benefits from the interaction among participants, as the group dynamics can stimulate memories, ideas, and experiences that might not surface in one-on-one interviews. They are valuable for exploring the range of opinions or feelings about a topic, allowing researchers to observe consensus formation, the diversity of perspectives, and the reasoning behind attitudes. This method is also efficient for gathering a breadth of data in a limited timeframe. However, it’s crucial to ensure that the topic is suitable for discussion in a group setting and that participants are comfortable speaking in front of others.

Conversely, individual interviews are more appropriate when the subject matter is sensitive or requires deep exploration of personal experiences. They provide a private space for participants to share detailed and nuanced insights without the influence of others, which can be particularly important when discussing topics that may not be openly talked about in a group. The method allows for a tailored approach, where the interviewer can adapt questions based on the participant’s responses, facilitating a depth of understanding that is harder to achieve in a group setting. The decision between the two methods ultimately hinges on the specific needs of the research, the nature of the topic, and the goals of the study.”

9. Detail how you would validate findings from a case study research design.

In case study research, validation is paramount to ensure that interpretations and conclusions are credible. A well-validated case study reinforces the rigor of the research method and bolsters the transferability of its findings to other contexts.

When responding to this question, detail your process, which might include triangulation, where you corroborate findings with multiple data sources or perspectives; member checking, which involves sharing your interpretations with participants for their input; and seeking peer debriefing, where colleagues critique the process and findings. Explain how these methods contribute to the dependability and confirmability of your research, showing that you are not just collecting data but actively engaging with it to construct a solid, defensible narrative.

Example: “ In validating findings from a case study research design, I employ a multi-faceted approach to ensure the dependability and confirmability of the research. Triangulation is a cornerstone of my validation process, where I corroborate evidence from various data sources, such as interviews, observations, and documents. This method allows for cross-validation and helps in constructing a robust narrative by revealing consistencies and discrepancies in the data.

Member checking is another essential step in my process. By sharing my interpretations with participants, I not only honor their perspectives but also enhance the credibility of the findings. This iterative process ensures that the conclusions drawn are reflective of the participants’ experiences and not solely based on my own interpretations.

Lastly, peer debriefing serves as a critical checkpoint. By engaging colleagues who critique the research process and findings, I open the study to external scrutiny, which helps in mitigating any potential biases and enhances the study’s rigor. These colleagues act as devil’s advocates, challenging assumptions and conclusions, thereby strengthening the study’s validity. Collectively, these strategies form a comprehensive approach to validating case study research, ensuring that the findings are well-substantiated and trustworthy.”

10. What measures do you take to ensure the transferability of your qualitative research findings?

When asked about ensuring transferability, the interviewer is assessing your ability to articulate the relevance of your findings beyond the specific context of your study. They want to know if you can critically appraise your research design and methodology.

To respond effectively, you should discuss the thoroughness of your data collection methods, such as purposive sampling, to gather diverse perspectives that enhance the depth of the data. Explain your engagement with participants and the setting to ensure a rich understanding of the phenomenon under study. Highlight your detailed documentation of the research process, including your reflexivity, to allow others to follow your footsteps analytically. Finally, speak about how you communicate the boundaries of your research applicability and how you encourage readers to consider the transferability of findings to their contexts through clear and comprehensive descriptions of your study’s context, participants, and assumptions.

Example: “ In ensuring the transferability of my qualitative research findings, I prioritize a robust and purposive sampling strategy that captures a wide range of perspectives relevant to the research question. This approach not only enriches the data but also provides a comprehensive understanding of the phenomenon across varied contexts. By doing so, I lay a foundation for the findings to resonate with similar situations, allowing others to judge the applicability of the results to their own contexts.

I meticulously document the research process, including the setting, participant interactions, and my own reflexivity, to provide a transparent and detailed account of how conclusions were reached. This level of documentation serves as a roadmap for other researchers or practitioners to understand the intricacies of the study and evaluate the potential for transferability. Furthermore, I ensure that my findings are presented with a clear delineation of the context, including any cultural, temporal, or geographic nuances, and discuss the assumptions underpinning the study. By offering this rich, contextualized description, I invite readers to engage critically with the findings and assess their relevance to other settings, thus facilitating a responsible and informed application of the research outcomes.”

11. How do you determine when data saturation has been reached in your study?

Determining data saturation is crucial because it signals when additional data does not yield new insights, ensuring efficient use of resources without compromising the depth of understanding. This question is posed to assess a candidate’s experience and judgment in qualitative research.

When responding to this question, one should highlight their systematic approach to data collection and analysis. Discuss the iterative process of engaging with the data, constantly comparing new information with existing codes and themes. Explain how you monitor for emerging patterns and at what point these patterns become consistent and repeatable, indicating saturation. Mention any specific techniques or criteria you employ, such as the use of thematic analysis or constant comparison methods, and how you document the decision-making process to ensure transparency and validity in your research findings.

Example: “ In determining data saturation, I employ a rigorous and iterative approach to data collection and analysis. As I engage with the data, I continuously compare new information against existing codes and themes, carefully monitoring for the emergence of new patterns or insights. Saturation is approached when the data begins to yield redundant information, and no new themes or codes are emerging from the analysis.

I utilize techniques such as thematic analysis and constant comparison methods to ensure a systematic examination of the data. I document each step of the decision-making process, noting when additional data does not lead to new theme identification or when existing themes are fully fleshed out. This documentation not only serves as a checkpoint for determining saturation but also enhances the transparency and validity of the research findings. Through this meticulous process, I can confidently assert that data saturation has been achieved when the collected data offers a comprehensive understanding of the research phenomenon, with a rich and well-developed thematic structure that accurately reflects the research scope.”

12. Relate an instance where member checking significantly altered your research conclusions.

Member checking serves as a vital checkpoint to ensure accuracy, credibility, and resonance of the data with those it represents. It can reveal misunderstandings or even introduce new insights that substantially shift the study’s trajectory or outcomes.

When responding, candidates should recount a specific project where member checking made a pivotal difference in their findings. They should detail the initial conclusions, how the process of member checking was integrated, what feedback was received, and how it led to a re-evaluation or refinement of the research outcomes. This response showcases the candidate’s methodological rigor, flexibility in incorporating feedback, and dedication to producing research that authentically reflects the voices and experiences of the study’s participants.

Example: “ In a recent qualitative study on community responses to urban redevelopment, initial findings suggested broad support for the initiatives among residents. However, during the member checking phase, when participants reviewed and commented on the findings, a nuanced perspective emerged. Several participants highlighted that their apparent support was, in fact, resignation due to a lack of viable alternatives, rather than genuine enthusiasm for the redevelopment plans.

This feedback prompted a deeper dive into the data, revealing a pattern of resigned acceptance across a significant portion of the interviews. The conclusion was substantially revised to reflect this sentiment, emphasizing the complexity of community responses to redevelopment, which included both cautious optimism and skeptical resignation. This critical insight not only enriched the study’s validity but also had profound implications for policymakers interested in understanding the true sentiment of the affected communities.”

13. What are the key considerations when selecting a sample for phenomenological research?

The selection of a sample in phenomenological research is not about quantity but about the richness and relevance of the data that participants can provide. It requires an intimate knowledge of the research question and a deliberate choice to include participants who have experienced the phenomenon in question.

When responding to this question, it’s essential to emphasize the need for a purposeful sampling strategy that aims to capture a broad spectrum of perspectives on the phenomenon under study. Discuss the importance of sample diversity to ensure the findings are robust and reflect varied experiences. Mention the necessity of establishing clear criteria for participant selection and the willingness to adapt as the research progresses. Highlighting your commitment to ethical considerations, such as informed consent and the respectful treatment of participants’ information, will also demonstrate your thorough understanding of the nuances in qualitative sampling.

Example: “ In phenomenological research, the primary goal is to understand the essence of experiences concerning a particular phenomenon. Therefore, the key considerations for sample selection revolve around identifying individuals who have experienced the phenomenon of interest and can articulate their lived experiences. Purposeful sampling is essential to ensure that the participants chosen can provide rich, detailed accounts that contribute to a deep understanding of the phenomenon.

The diversity of the sample is also crucial. It is important to select participants who represent a range of perspectives within the phenomenon, not just a homogenous group. This might involve considering factors such as age, gender, socio-economic status, or other relevant characteristics that could influence their experiences. While the sample size in phenomenological studies is often small to allow for in-depth analysis, it is vital to ensure that the sample is varied enough to uncover a comprehensive understanding of the phenomenon.

Lastly, ethical considerations are paramount. Participants must give informed consent, understanding the nature of the study and their role in it. The researcher must also be prepared to handle sensitive information with confidentiality and respect, ensuring the participants’ well-being is prioritized throughout the study. Adapting the sample selection criteria as the study progresses is also important, as initial interviews may reveal additional nuances that require the inclusion of further varied perspectives to fully grasp the phenomenon.”

14. Which software tools do you prefer for qualitative data analysis, and for what reasons?

The choice of software tools for qualitative data analysis reflects a researcher’s approach to data synthesis and interpretation. It also indicates their proficiency with technology and their ability to leverage sophisticated features to deepen insights.

When responding, it’s essential to discuss specific features of the software tools you prefer, such as coding capabilities, ease of data management, collaborative features, or the ability to handle large datasets. Explain how these features have enhanced your research outcomes in the past. For example, you might highlight the use of NVivo for its robust coding structure that helped you organize complex data efficiently or Atlas.ti for its intuitive interface and visualization tools that made it easier to detect emerging patterns. Your response should demonstrate your analytical thought process and your commitment to rigorous qualitative analysis.

Example: “ In my qualitative research endeavors, I have found NVivo to be an invaluable tool, primarily due to its advanced coding capabilities and its ability to manage large and complex datasets effectively. The node structure in NVivo facilitates a hierarchical organization of themes, which streamlines the coding process and enhances the reliability of the data analysis. This feature was particularly beneficial in a recent project where the depth and volume of textual data required a robust system to ensure consistency and comprehensiveness in theme development.

Another tool I frequently utilize is Atlas.ti, which stands out for its user-friendly interface and powerful visualization tools. These features are instrumental in identifying and illustrating relationships between themes, thereby enriching the interpretive depth of the analysis. The network views in Atlas.ti have enabled me to construct clear visual representations of the data interconnections, which not only supported my analytical narrative but also facilitated stakeholder understanding and engagement. The combination of these tools, leveraging their respective strengths, has consistently augmented the quality and impact of my qualitative research outcomes.”

15. How do you handle discrepancies between participants’ words and actions in ethnographic research?

Ethnographic research hinges on the researcher’s ability to interpret both verbal and non-verbal data to draw meaningful conclusions. This question allows the interviewer to assess a candidate’s methodological rigor and analytical skills.

When responding, it’s essential to emphasize your systematic approach to reconciling such discrepancies. Discuss the importance of context, the use of triangulation to corroborate findings through multiple data sources, and the strategies you employ to interpret and integrate conflicting information. Highlight your commitment to ethical research practices, the ways you ensure participant understanding and consent, and your experience with reflective practice to mitigate researcher bias. Showcasing your ability to remain flexible and responsive to the data, while maintaining a clear analytical framework, will demonstrate your proficiency in qualitative research.

Example: “ In ethnographic research, discrepancies between participants’ words and actions are not only common but also a valuable source of insight. When I encounter such discrepancies, I first consider the context in which they occur, as it often holds the key to understanding the divergence. Cultural norms, social pressures, or even the presence of the researcher can influence participants’ behaviors and self-reporting. I employ triangulation, utilizing multiple data sources such as interviews, observations, and relevant documents to construct a more comprehensive understanding of the phenomena at hand.

I also engage in reflective practice to examine my own biases and assumptions that might influence data interpretation. By maintaining a stance of cultural humility and being open to the participants’ perspectives, I can better understand the reasons behind their actions and words. When integrating conflicting information, I look for patterns and themes that can reconcile the differences, often finding that they reveal deeper complexities within the social context being studied. Ethical research practices, including ensuring participant understanding and consent, are paramount throughout this process, as they help maintain the integrity of both the data and the relationships with participants.”

16. What role does reflexivity play in your research process?

Reflexivity is an ongoing self-assessment that ensures research findings are not merely a reflection of the researcher’s preconceptions, thereby increasing the credibility and authenticity of the work.

When responding, illustrate your understanding of reflexivity with examples from past research experiences. Discuss how you have actively engaged in reflexivity by questioning your assumptions, how this shaped your research design, and the methods you employed to ensure that your findings were informed by the data rather than your personal beliefs. Demonstrate your commitment to ethical research practice by highlighting how you’ve maintained an open dialogue with your participants and peers to challenge and refine your interpretations.

Example: “ Reflexivity is a cornerstone of my qualitative research methodology, as it allows me to critically examine my own influence on the research process and outcomes. In practice, I maintain a reflexive journal throughout the research process, documenting my preconceptions, emotional responses, and decision-making rationales. This ongoing self-analysis ensures that I remain aware of my potential biases and the ways in which my background and perspectives might shape the data collection and analysis.

For instance, in a recent ethnographic study, I recognized my own cultural assumptions could affect participant interactions. To mitigate this, I incorporated member checking and peer debriefing as integral parts of the research cycle. By actively seeking feedback on my interpretations from both participants and fellow researchers, I was able to challenge my initial readings of the data and uncover deeper, more nuanced insights. This reflexive approach not only enriched the research findings but also upheld the integrity and credibility of the study, fostering a more authentic and ethical representation of the participants’ experiences.”

17. Describe a complex qualitative dataset you’ve managed and how you navigated its challenges.

Managing a complex qualitative dataset requires meticulous organization, a strong grasp of research methods, and the ability to discern patterns and themes amidst a sea of words and narratives. This question evaluates the candidate’s analytical and critical thinking skills.

When responding to this question, you should focus on a specific project that exemplifies your experience with complex qualitative data. Outline the scope of the data, the methods you used for organization and analysis, and the challenges you encountered—such as data coding, thematic saturation, or ensuring reliability and validity. Discuss the strategies you implemented to address these challenges, such as iterative coding, member checking, or triangulation. By providing concrete examples, you demonstrate not only your technical ability but also your methodological rigor and dedication to producing insightful, credible research findings.

Example: “ In a recent project, I managed a complex qualitative dataset that comprised over 50 in-depth interviews, several focus groups, and field notes from participant observation. The data was rich with nuanced perspectives on community health practices, but it presented challenges in ensuring thematic saturation and maintaining a systematic approach to coding across multiple researchers.

To navigate these challenges, I employed a rigorous iterative coding process, utilizing NVivo software to facilitate organization and analysis. Initially, I conducted a round of open coding to identify preliminary themes, followed by axial coding to explore the relationships between these themes. As the dataset was extensive, I also implemented a strategy of constant comparison to refine and merge codes, ensuring thematic saturation was achieved. To enhance the reliability and validity of our findings, I organized regular peer debriefing sessions, where the research team could discuss and resolve discrepancies in coding and interpretation. Additionally, I conducted member checks with a subset of participants, which not only enriched the data but also validated our thematic constructs. This meticulous approach enabled us to develop a robust thematic framework that accurately reflected the complexity of the community’s health practices and informed subsequent policy recommendations.”

18. How do you integrate quantitative data to enhance the richness of a primarily qualitative study?

Integrating quantitative data with qualitative research can add a layer of objectivity, enhance validity, and offer a scalable dimension to the findings. This mixed-methods approach can help in identifying outliers or anomalies in qualitative data.

When responding to this question, a candidate should articulate their understanding of both qualitative and quantitative research methodologies. They should discuss specific techniques such as triangulation, where quantitative data serves as a corroborative tool for qualitative findings, or embedded analysis, where quantitative data provides a backdrop for deep qualitative exploration. The response should also include practical examples of past research scenarios where the candidate successfully merged both data types to strengthen their study, highlighting their ability to create a symbiotic relationship between numbers and narratives for richer, more robust research outcomes.

Example: “ Integrating quantitative data into a qualitative study can significantly enhance the depth and credibility of the research findings. In my experience, I employ triangulation to ensure that themes emerging from qualitative data are not only rich in context but also empirically grounded. For instance, in a study exploring patient satisfaction, while qualitative interviews might reveal nuanced patient experiences, quantitative satisfaction scores can be used to validate and quantify the prevalence of these experiences across a larger population.

Furthermore, I often use quantitative data as a formative tool to guide the qualitative inquiry. By initially analyzing patterns in quantitative data, I can identify areas that require a deeper understanding through qualitative methods. For example, if a survey indicates a trend in consumer behavior, follow-up interviews or focus groups can explore the motivations behind that trend. This embedded analysis approach ensures that qualitative findings are not only contextually informed but also quantitatively relevant, leading to a more comprehensive understanding of the research question.”

19. What is your rationale for choosing narrative inquiry over other qualitative methods in storytelling contexts?

Narrative inquiry delves into individual stories to find broader truths and patterns. This method captures the richness of how people perceive and make sense of their lives, revealing the interplay of various factors in shaping narratives.

When responding, articulate your understanding of narrative inquiry, emphasizing its strengths in capturing lived experiences and its ability to provide a detailed, insider’s view of a phenomenon. Highlight your knowledge of how narrative inquiry can uncover the nuances of storytelling, such as the role of language, emotions, and context, which are essential for a deep understanding of the subject matter. Demonstrate your ability to choose an appropriate research method based on the research question, objectives, and the nature of the data you aim to collect.

Example: “ Narrative inquiry is a powerful qualitative method that aligns exceptionally well with the exploration of storytelling contexts due to its focus on the richness of personal experience and the construction of meaning. By delving into individuals’ stories, narrative inquiry allows researchers to capture the complexities of lived experiences, which are often embedded with emotions, cultural values, and temporal elements that other methods may not fully grasp. The longitudinal nature of narrative inquiry, where stories can be collected and analyzed over time, also offers a dynamic perspective on how narratives evolve, intersect, and influence the storyteller’s identity and worldview.

In choosing narrative inquiry, one is committing to a methodological approach that honors the subjectivity and co-construction of knowledge between the researcher and participants. This approach is particularly adept at uncovering the layers of language use, symbolism, and the interplay of narratives with broader societal discourses. It is this depth and nuance that makes narrative inquiry the method of choice when the research aim is not just to catalog events but to understand the profound implications of storytelling on individual and collective levels. The method’s flexibility in accommodating different narrative forms – be it oral, written, or visual – further underscores its suitability for research that seeks to holistically capture the essence of storytelling within its natural context.”

20. How do you address potential power dynamics that may influence a participant’s responses during interviews?

Recognizing and mitigating the influence of power dynamics is essential to maintain the integrity of the data collected in qualitative research, ensuring that findings reflect the participants’ genuine perspectives.

When responding to this question, one should emphasize their awareness of such dynamics and articulate strategies to minimize their impact. This could include techniques like establishing rapport, using neutral language, ensuring confidentiality, and employing reflexivity—being mindful of one’s own influence on the conversation. Furthermore, demonstrating an understanding of how to create a safe space for open dialogue and acknowledging the importance of participant empowerment can convey a commitment to ethical and effective qualitative research practices.

Example: “ In addressing potential power dynamics, my approach begins with the conscious effort to create an environment of trust and safety. I employ active listening and empathetic engagement to establish rapport, which helps to level the conversational field. I am meticulous in using neutral, non-leading language to avoid inadvertently imposing my own assumptions or perspectives on participants. This is complemented by an emphasis on the voluntary nature of participation and the assurance of confidentiality, which together foster a space where participants feel secure in sharing their authentic experiences.

Reflexivity is a cornerstone of my practice; I continuously self-assess and acknowledge my positionality and its potential influence on the research process. By engaging in this critical self-reflection, I am better equipped to recognize and mitigate any power imbalances that may arise. Moreover, I strive to empower participants by validating their narratives and ensuring that the interview process is not just extractive but also offers them a platform to be heard and to contribute meaningfully to the research. This balanced approach not only enriches the data quality but also adheres to the ethical standards that underpin responsible qualitative research.”

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Preparing Questions for a Qualitative Research Interview

Updated on: June 22, 2024

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.

Read More: How to Transcribe an Interview – A Complete Guide

• 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

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Kayayoo isaac says

November 29, 2019 at 7:54 am

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leslie says

December 27, 2019 at 4:29 pm

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January 20, 2020 at 3:19 pm

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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

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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.

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Crafting Effective Qualitative Research Interview Questions: A Guide for Uncovering Rich Insights

In the world of academic research, understanding human experiences and perspectives is often essential for crafting meaningful insights. Qualitative research, often propelled by interviews, provides a rich platform for this exploration.

This post has a list of 100 open-ended qualitative interview questions that are suitable for different types of research. You can use these questions in your qualitative research interviews.

Conducting insightful qualitative research relies heavily on asking the right questions. As a researcher, your interview questions serve as the compass guiding you towards a deeper understanding of the topic at hand. Yet designing questions that elicits meaningful data takes skill and forethought. In this guide, we’ll explore best practices for crafting effective qualitative research interview questions to help you gather robust, nuanced insights.

Why Qualitative Research Matters

Before diving into interview question design, it’s helpful to understand what sets qualitative research apart While quantitative research relies on numerical data and broad samples, qualitative inquiry explores personal experiences, beliefs, and perspectives through more flexible, conversational methods.

Qualitative approaches like in-depth interviews and focus groups can uncover the subtleties and “hows” and “whys” that surveys cannot. This makes qualitative research invaluable for understanding human behaviors, emotions and motivations from the viewpoint of participants themselves.

Getting Started: Define Your Research Goals

Successful interview questions flow directly from your specific research objectives. Being clear on the insights you’re seeking will allow you to craft targeted questions that extract relevant data.

Start by clearly defining your research goals and parameters. Consider elements like:

• The primary issues or behaviors you want to explore
• Specific participant perspectives you aim to capture
• Any processes or experiences you hope to understand in more depth

With your goals clarified, you can begin brainstorming incisive questions tailored to the investigation at hand.

Types of Qualitative Interview Questions

While open-ended questions form the crux of most qualitative interviews, certain types of inquiries can be particularly illuminating:

Background Questions

Early interview questions should aim to put participants at ease while gathering contextual information relevant to your research goals. For instance:

• How long have you worked in this role?
• Tell me about a typical day in your position.
• What initially inspired you to join this field?

Experience/Behavior Questions

After warming up with introductory questions, move towards unpacking specific experiences, behaviors, and actions relevant to the research:

• Walk me through the steps involved when you’re designing a new product.
• Describe a time when you faced a challenge with a client. How did you handle this?
• What strategies do you use to motivate your team?

Opinion/Belief Questions

Here you’ll inquire about perspectives, values, and subjective viewpoints surrounding your topic:

• In your view, what makes an effective sales strategy?
• How would you describe the company’s current brand image?
• What do you see as the most pressing issues facing the industry today?

Knowledge Questions

It can be insightful to probe participants’ depth of understanding around key concepts, processes, policies, etc:

• What training is involved in your role?
• How familiar are you with the new HR policies?
• Talk me through the production process from start to finish.

Sensory Questions

For a vivid picture, ask about physical sensations, textures, sights, smells, sounds associated with experiences:

• Describe how it feels when you’re “in the zone” creatively.
• Take me through a typical store visit—what do you see, hear, smell?
• What physical responses do you notice when you’re under a tight deadline?

This diversity of question types creates multidimensional snapshots of the issue at hand.

Best Practices for Crafting Interview Questions

Certain principles and techniques can help you develop questions that yield rich, meaningful data:

Use open-ended phrasing – Avoid yes/no or short-answer questions. Strive for questions that provoke detailed narratives.

Make questions conversational – As opposed to rigid, formal inquiries, conversational wording puts participants at ease.

Ask one question at a time – Don’t overload participants with convoluted, compound questions. Stick to one query at a time.

Use neutral phrasing – Steer clear of leading questions that influence the response. Maintain impartial wording.

Funnel from general to specific – Start broad, then drill down into specifics relevant to the research goals.

Ask follow-up “probes” – Seek elaboration with prompts like “Tell me more” or “Could you provide an example?”

Adapt on the fly – Allow conversations to flow naturally, adjusting questions based on responses and new insights.

Practical Interview Question Examples

To make these tips more concrete, let’s walk through some example interview questions for a study exploring customer experiences with a retailer:

Opening question: Tell me a little about your shopping habits and preferences when it comes to clothing retailers.

This introductory inquiry warms up participants while gathering useful context about their customer profile.

Experience question: Walk me through the steps involved when you’re making a typical purchase at Company X. How would you describe your overall experience?

Here we’re drilling down into concrete behaviors and impressions related to purchasing from the retailer.

Opinion question: In your view, what makes for an ideal shopping experience? How could Company X get closer to this ideal?

Next we inquire about subjective perceptions of a positive retail experience and areas for improvement.

Knowledge question: Talk me through any loyalty or rewards programs that Company X offers its customers.

This question reveals participants’ awareness and understanding of existing loyalty programs.

Sensory question: Imagine you’re walking into a Company X store ready to make a purchase. Describe what you see, hear, smell, and feel.

Vivid sensory details emerge from this query, unveiling subtleties beyond pure text data.

Probing follow-up: You mentioned feeling overwhelmed in the store. Tell me more about what contributed to that feeling of overwhelm. How could the experience be improved?

Here, a probing question elicits deeper reflection on an insight uncovered earlier in the interview.

While merely examples, these questions demonstrate how tailored, thoughtful qualitative inquiries can yield multifaceted insights into customer perspectives.

Common Qualitative Research Interview Questions

Certain questions tend to recur frequently across different types of qualitative studies. Let’s explore some common examples:

• How would you describe a typical day in your role?
• Walk me through the steps involved in Process X.
• What challenges do you face in Situation Y? How do you navigate these?
• In your opinion, what makes for an effective Z?
• How do you feel when A happens? Describe that experience.
• Talk me through any training you received on Topic B.
• If you could improve one thing about Company C, what would it be?

While these generic questions provide a starting point, effective interview questions will always align closely with your unique research objectives.

Prompts to Uncover More Meaningful Insights

At times, initial responses may lack sufficient detail for you to interpret their full significance. Don’t be afraid to probe more deeply with follow-up questions that reveal richer layers of meaning. Helpful prompts include:

• “Tell me more about [X].”
• “Help me understand what you mean when you say [Y].”
• “Could you provide a specific example of [Z]?”
• “What factors contributed to [A]?
• “You mentioned [B] was a challenge. How did that manifest?”
• “How did you feel when [C] happened?”
• “How has [D] impacted your everyday life?”

By eliciting more vivid descriptions and tangible examples, these probes can unveil profound insights.

Align Questions with Participant Perspectives

Qualitative research hinges on capturing subjective viewpoints and experiences authentically. This means using vocabulary and phrases that resonate with participants’ knowledge and roles. Avoid technical jargon or obscure concepts and frame questions in terminology familiar to interviewees. Shows you’re making an effort to understand their worldview.

Allow Flexibility Based on Responses

While an interview guide provides helpful structure, don’t become overly wedded to set questions. The most powerful insights often arise spontaneously in the conversation flow itself. Embrace flexibility to pivot your inquiries based on relevant topics that emerge organically.

Listen More Than Speak

Remember, interviews aim to extract participants’ perspectives, not yours. Avoid the temptation to share your own opinions or experiences. Beyond asking questions, your role involves attentive listening to fully capture responses. This restraint allows authentic participant voices to take center stage.

Road Test Your Questions

If possible, pilot your draft questions with colleagues or a sample participant. This allows you to refine confusing phraseology, identify gaps, and assess flow and timing prior to formal data collection.

Continually Refine Your Technique

Designing incisive qualitative research questions is a skill continually honed through practice. As you conduct more interviews, reflect on which questions worked well and which missed the mark. Let these lessons guide you in improving subsequent question craft. With experience, you’ll become adept at asking just the right questions to unlock profound human insights.

Asking thoughtful, nuanced qualitative research questions lays the groundwork for impactful discoveries

Personal Growth and Development

• How do you define personal growth and self-improvement?
• Could you talk about a big event in your life that changed things and helped you grow?
• What do you want to achieve in the long term, and how are you planning to do it?
• How does self-reflection contribute to your personal development?
• How do you deal with problems and setbacks in your personal life?
• How does seeking new experiences contribute to personal growth?
• What do your beliefs and values tell you about how to make choices and act?
• Could you name a role model who has helped you grow as a person?
• How do you handle change and embrace opportunities for growth?
• How do you define happiness and contentment in your life?

How to Conduct a Qualitative Interview

What type of questions are asked in a qualitative interview?

What are good interview questions for qualitative research?

What are the 5 qualitative questions?

What is interview questionnaire in qualitative research?

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A Guide to Qualitative Research Interview Questions

Table of Contents

Not everything can be answered by doing a survey or quantitative research. A qualitative research interview is more appropriate if your research aims to gain an in-depth understanding of the underlying factor and causes of something. This guide presents some examples of qualitative research questions for interviews to better grasp a topic.

What Is a Qualitative Research?

Qualitative research traditionally uses interviews , focus groups, personal diaries, and memories of events to record people’s perspectives of a phenomenon. People are asked to share their thoughts, feelings, opinions, and experiences with a research study.

Moreover, qualitative research can be used to analyze the lives of individuals, groups, and even populations. But more often, it is used to analyze behavior.

What Is a Qualitative Research Interview?

Qualitative research interviews are used to close a gap in what we know about a specific issue. It also explores issues from different perspectives to understand how people interpret a situation.

The process of conducting these interviews is less focused on quantifiable data and more focused on in-depth dialogue about the issue being researched. A qualitative research interview is typically conducted in person with one individual and can last between one and four hours.

Tips & Examples of Qualitative Research Questions for Interviews

The questions you ask during an interview can significantly affect the quality of the data the interviewer will gather. Careful consideration must be given to the questions asked during the interview and the wording used. You can maximize the quality of the interview data only by factoring in these specific aspects.

Qualitative research interview questions are structured in a way that helps the interviewer and participant understand the topic at hand. Here are some tips with examples to write good qualitative research interview questions.

Avoid Asking Leading Questions

If the overall goal of your qualitative research is to uncover new insights, you should avoid leading questions. Instead, take an open-ended approach that allows interviewees to reply in their own words.

Leading: Why do you prefer to use our service?

Open-ended: How do you feel about using our product?

Keep a Mixture of Behavioral & Attitudinal Questions

People frequently have beliefs that contradict the way they behave. Combining attitudinal and behavioral questions will help you learn what a person does and their thoughts on their actions.

To better grasp their beliefs and motives, ask them attitude-based questions. Behavioral questions are used to learn more about a participant’s behavior.

Attitudinal: How often do you go shopping?

Behavioral: How many times did you go shopping last week?

Avoid Asking Double-Barreled Questions

Interviewers sometimes want to ask several questions at once and end up asking double-barreled questions. These types of questions cover multiple topics at a time. Respondents can find it overwhelming as they try to answer both questions and often only answer a portion of them. Splitting your questions into two parts is preferable if you need to cover multiple topics.

Double-Barreled: How satisfied are you with our product quality and packaging?

Avoiding Double-barreled:

• How satisfied are you with our product quality?
• What do you think about our product packaging?

Ask Open-Ended Questions Instead of Closed Ones

Closed questions lend themselves to a one-time response. Instead, ask open questions which elicit a more expansive response .

Ask open-ended questions to learn about people’s interests, goals, and pain points. They provide the participant a chance to express themselves freely.

Closed Question: Do you like reading fictional books?

Open-Ended Question: What are your thoughts on fictional books?

Qualitative research is where you can find out what is happening in a person’s life, and they give you their thoughts and feelings. Rather than observing people, qualitative research is done with people themselves.

Qualitative research is helpful in various contexts, such as academic research, business intelligence, education, and advertising. This article provides you with some tips and examples of qualitative research questions for interviews .

Abir Ghenaiet

Abir is a data analyst and researcher. Among her interests are artificial intelligence, machine learning, and natural language processing. As a humanitarian and educator, she actively supports women in tech and promotes diversity.

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