Interview Experience Study
A controlled comparison instrument for evaluating interview experiences across different moderator formats. This survey measures pre-interview expectations, embeds an interview session, and captures post-interview evaluations of comfort, quality, depth, trust, and willingness to participate again.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
How many times have you participated in a research interview (one-on-one, not a written survey) in the past 12 months?
- Never
- 1–2 times
- 3–5 times
- 6 or more times
You will now participate in a short interview conversation. Please respond openly and honestly — there are no right or wrong answers. The conversation will last a few minutes.
How comfortable did you feel during the interview you just completed?
The interviewer asked clear and relevant follow-up questions.
I was able to fully express my thoughts and opinions during the interview.
I trusted that the interviewer was genuinely interested in my responses.
How likely are you to participate in a similar interview experience again?
Based on your interview experience, please share any additional thoughts or feelings about the conversation you had. What stood out to you, positively or negatively?
What is your age?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
In general, how comfortable are you sharing your honest opinions with an interviewer you have not met before?
Let's talk about how technology fits into your everyday life. What role does technology play in your typical day, and how do you feel about that?
The interviewer made me feel at ease during the conversation.
The interviewer seemed to understand what I was trying to say.
I shared more detailed or personal responses than I initially expected to.
I felt confident that my responses would be treated with respect and confidentiality.
How likely are you to recommend this type of interview experience to a friend or colleague?
What is your gender?
- Woman
- Man
- Non-binary / third gender
- Prefer to self-describe
- Prefer not to say
How often do you interact with AI-powered chatbots or virtual assistants (e.g., ChatGPT, Siri, Alexa) in your daily life?
- Never
- Rarely (a few times a year)
- Sometimes (a few times a month)
- Often (a few times a week)
- Daily or almost daily
The interview felt like a natural conversation.
How would you rate the overall quality of the interview experience?
How would you rate the depth and thoughtfulness of your own responses during the interview?
I was worried about being judged for my answers during the interview.
If you could choose for future research studies, which type of interviewer would you prefer?
- A human interviewer
- An AI-powered interviewer
- No preference — either would be fine
- It would depend on the topic
What is the highest level of education you have completed?
- Less than high school
- High school diploma or equivalent
- Some college, no degree
- Associate's degree
- Bachelor's degree
- Master's degree
- Doctoral or professional degree
- Prefer not to say
Before beginning the interview, how would you rate your expected comfort level for the upcoming conversation?
Before beginning the interview, how would you rate the quality of conversation you expect to have?
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies from the same category.
AI Adoption in Higher Education
A research survey exploring how faculty and students adopt, perceive, and experience AI tools in higher education settings. Covers current usage patterns, perceived benefits and barriers, institutional policy awareness, training needs, and impact on teaching and learning outcomes.
View templateWarehouse Safety & Productivity Frontline Assessment
Captures frontline warehouse worker feedback on safety conditions, throughput changes, role clarity, and operational tools to identify improvement priorities and support OSHA compliance.
View templateVR Motion Sickness & Comfort Technique Assessment
Measures VR players' motion sickness susceptibility, symptom frequency, discomfort triggers, and comfort technique preferences to guide UX design decisions for virtual reality games and experiences.
View templateWorkplace AI Adoption & Compliance Assessment
Measures employee AI tool usage patterns, shadow AI risks, policy awareness, and training needs to inform governance and safe-adoption strategies across the organization.
View templateEvaluation Fairness & Representation Perceptions Survey for Developers
Measures software developers' perceptions of fairness, bias, and representativeness in their evaluation practices. Ideal for engineering leadership and DEI teams seeking to identify gaps in evaluation methodology and build more inclusive processes.
View templateAI Transparency, Control & Recourse Assessment
Measures user attitudes toward AI transparency, desired controls, and recourse expectations. Designed for product teams assessing trust gaps and prioritizing AI governance improvements.
View template