UX researcher interview questions

As asked

A PM says activation is low and asks you to run user interviews. How do you decide whether interviews, usability tests, surveys, or product analytics are the right method?

Sample answer outline

Clarify the decision the research must inform before choosing a method. If the team does not know why users fail, start with analytics to locate drop-off and usability tests to observe the flow. Interviews help understand motivation and context, but they are weak evidence for measuring prevalence. Surveys can quantify patterns after qualitative work has generated good hypotheses. A strong researcher pushes back on 'run interviews' as a pre-selected method and builds a mixed plan that matches the risk, timeline, and confidence needed.

Expect these follow-ups

• What would you do if the PM needs an answer in three days?
• How do you avoid turning a usability test into a feature-request session?
• What decision would make a survey the wrong tool here?

As asked

A product manager comes to you with a question: why are users dropping off on step three of our onboarding flow? How do you decide which research method to use, and what would your first move be?

Sample answer outline

Strong answers frame the question as a 'why' problem that qualitative methods are better suited for, then mention usability sessions or contextual inquiry to observe the drop-off. They distinguish between validating a hypothesis versus generating one, and note when to layer in funnel analytics to size the problem before recruiting. Bonus if they mention combining diary studies for longitudinal context.

Expect these follow-ups

• How many participants would you recruit for usability sessions on this, and why that number?
• What if the PM says there is no time for research and wants a quick answer?

As asked

How do you determine the right number of participants for a usability study, and how do you defend that number to a stakeholder who thinks five people is not enough?

Sample answer outline

A strong answer cites Nielsen's 85% threshold finding and explains diminishing returns per additional participant in formative studies. They distinguish between formative and summative contexts, noting that summative studies need statistical power. They explain saturation, not head-count, as the stopping criterion for qualitative work, and reframe the stakeholder concern around insight quality vs. representativeness.

Expect these follow-ups

• When would five participants genuinely not be enough, even for qualitative work?
• How do you handle when saturation happens at three participants?

As asked

Walk me through how you actually facilitate a think-aloud usability test. What do you say in the intro, how do you prompt without leading, and what do you do when a participant goes silent?

Sample answer outline

Good answers cover the consent and framing script, the distinction between concurrent and retrospective think-aloud, and neutral prompts like 'what are you thinking right now?' rather than 'does that make sense?'. They mention handling silence with silence before prompting, and address how to respond when participants ask for help mid-task without contaminating data.

Expect these follow-ups

• What is your protocol when a participant says they would never actually use this product?
• How does your facilitation change for remote sessions versus in-person?

As asked

A designer hands you a draft survey they wrote and one of the questions reads 'How much did you enjoy using our new feature?' What issues do you flag, and how do you rewrite it?

Sample answer outline

The answer names leading/loaded framing, acquiescence bias risk, and the assumption embedded in 'enjoy'. A strong rewrite could be a neutral satisfaction item on a Likert scale or a separate open field. They also mention ordering effects if this question appears before a general satisfaction item, and the importance of pretesting survey language with a small pilot group.

Expect these follow-ups

• How would you test whether your rewritten question actually measures what you intended?
• What is your go-to approach for validating a survey instrument before fielding it broadly?

As asked

You need to recruit 12 participants for a study on a B2B expense-management tool. How do you write a screener that gets you the right people without tipping them off to the 'right' answers?

Sample answer outline

Strong answers describe writing screener questions that are behaviorally observable and not self-reported attitude items, using decoy questions to avoid gaming, and mixing the qualifying criteria among disqualifying options. They define their segment criteria precisely (role, frequency of use, company size) before writing, and note the importance of over-recruiting by 20 to 30 percent to handle no-shows. They also mention IRB or consent considerations for sensitive populations.

Expect these follow-ups

• How do you handle participants who made it past the screener but turn out to be wrong for the study once they arrive?
• What is your approach when your panel or recruiting vendor cannot find people who meet your criteria?