User Interview 🎙️ Prompts

Purpose: Conducting user interviews helps product teams deeply understand user behaviours, goals, frustrations, and mental models through qualitative inquiry.

Design Thinking Phase: Empathise

Time: 45–60 min session + 1–2 hours analysis

Difficulty: ⭐⭐

When to use:When exploring a new problem space or validating early hypothesesBefore defining product requirements or mapping user journeysWhen metrics indicate a problem but don’t explain the why

What it is

User interviews are 1:1 qualitative research sessions used to uncover deeper insights about user motivations, behaviours, needs, and pain points. Conducted in a semi-structured format, interviews reveal the why behind user choices — beyond what analytics or usability testing alone can tell you.

📺 Video by NNgroup. Embedded for educational reference.

Why it matters

User interviews help design teams move beyond assumptions and surface-level insight, enabling human-centred decision making across product strategy, design, and experience mapping. Understanding user intent, context and barriers leads to better scoping, smarter prioritisation, and less risk downstream.

When to use

• At the start of a project or sprint to define a real user problem
• When metrics show churn or poor feature performance without clear reasons
• Before designing user flows, storyboards, or wireframes

Benefits

• Rich Insights: Helps uncover user needs that aren’t visible in metrics.
• Flexibility: Works across various project types and timelines.
• User Empathy: Deepens understanding of behaviours and motivations.

How to use it

Here’s a practical step-by-step framework used by experienced design researchers:

1. Define your learning objectives: What do you need to learn, confirm, or explore?
2. Recruit participants: Target 5–8 users per segment. Use screeners aligned with the behaviours you’re designing for.
3. Write a semi-structured guide: Include open-ended questions grounded in real-world contexts and use prompts to probe further.
4. Conduct interviews remotely or in-person: Use active listening and document emotional cues and decision triggers.
5. Debrief and synthesise: Cluster quotes, behaviours or themes using methods like affinity mapping.
6. Share impactful takeaways: Craft a short insights deck or gallery of needs, quoting users directly where possible.

Example Output

Here’s a fictional output artefact for a mobile banking product:

• User Need: Trust that scheduled bill payments won’t fail (3/5 users mentioned anxiety over automation failures)
• Quote: “I check my account daily because I’ve had payments bounce and no notification came through.”
• Design Insight: Users want proactive alerts and reassurance, not just payment logs.
• Opportunity Area: Introduce a payment confirmation UI and early failure warnings.

Common Pitfalls

• Asking leading questions: Avoid yes/no framing. Use open probes like “Tell me about a time...”
• Interviewing without structure: Poorly scoped sessions miss critical learning opportunities. Use a guide and goals.
• Ignoring analysis time: Synthesis is where the value lives. Don’t skip tagging or theming insights.

10 Design-Ready AI Prompts for User Interview – UX/UI Edition

How These Prompts Work (C.S.I.R. Framework)

Each of the templates below follows the C.S.I.R. method — a proven structure for writing clear, effective prompts that get better results from ChatGPT, Claude, Copilot, or any other LLM.

C.S.I.R. stands for:

• Context: Who you are and the UX situation you're working in
• Specific Info: Key design inputs, tasks, or constraints the AI should consider
• Intent: What you want the AI to help you achieve
• Response Format: The structure or format you want the AI to return (e.g. checklist, table, journey map)

Level up your career with smarter AI prompts.Get templates used by UX leaders — no guesswork, just results.Design faster, research smarter, and ship with confidence.First one’s free. Unlock all 10 by becoming a member.

Prompt Template 1: “Draft a User Interview Discussion Guide”

Draft a User Interview Discussion Guide

Context: You are a UX researcher preparing for generative research to explore user frustrations in [your product’s core experience].  
Specific Info: We currently have [no prior research/early metrics on dropoff]. Our target users are [describe persona or segment].  
Intent: Create a semi-structured discussion guide with 5–7 open-ended questions to explore user behaviours, beliefs, and unmet needs.  
Response Format: Provide the questions in bullet point format, grouped by theme (e.g. context, emotion, workarounds).

If topic coverage seems vague or problem framing unclear, ask a clarification question before continuing.

Prompt Template 2: “Summarise Interview Themes From Raw Notes”

Summarise Interview Themes From Raw Notes

Context: You are a UX researcher debriefing after 6 interviews on how [users manage their subscriptions via our app].  
Specific Info: Transcript notes are formatted as user quotes + our internal observations.  
Intent: Identify top-level themes, supporting quotes, and behavioural trends across responses.  
Response Format: Provide output as a table with columns: Insight Theme, Supporting Quote, Design Implication.

Ask for a sample transcript chunk before proceeding if none is provided.

Prompt Template 3: “Generate Affinity Label Suggestions”

Generate Affinity Label Suggestions

Context: You are facilitating an analysis workshop to cluster post-it notes from 8 user interviews.  
Specific Info: Notes range from task challenges, emotional responses, product workarounds, and onboarding friction.  
Intent: Suggest potential affinity cluster labels to accelerate the team’s synthesis phase.  
Response Format: Output as a short list of 10 possible thematic labels, with a short descriptor for each.

Ask to see a sample note set before identifying themes.

Prompt Template 4: “Turn Interview Findings Into Usability Hypotheses”

Turn Interview Findings Into Usability Hypotheses

Context: You’ve just completed discovery interviews around why users avoid a certain dashboard function.  
Specific Info: Key insights point to low trust, information overload, and unclear value.  
Intent: Create a set of testable UX usability hypotheses to validate in future research.  
Response Format: Organise as “We believe [X problem] occurs because [Y reason], so if we [solution], we expect [outcome].”

Request clarification if insight summary is missing or incomplete.

Prompt Template 5: “Roleplay a Skeptical Stakeholder”

Roleplay a Skeptical Stakeholder

Context: You’re preparing a stakeholder readout after 1:1 interviews showed strong misalignment between user needs and roadmap direction.  
Specific Info: You need to justify qualitative insights against lack of hard metrics.  
Intent: Simulate pushback from a PM or business exec and generate strong counterarguments grounded in UX thinking.  
Response Format: Use a dialogue format (Stakeholder → You) with supporting evidence for each point.

Prompt for specific interview quotes if not included.

Prompt Template 6: “Craft Interview Snippets for an Insight Gallery”

Craft Interview Snippets for an Insight Gallery

Context: You’re preparing a lightweight insight gallery artefact in Miro to socialise research findings with cross-functional teams.  
Specific Info: Each interview had clear aha moments and UX breakdowns during mobile flow exploration.  
Intent: Create 5–7 short, compelling quotes or paraphrases suitable for a wallboard format.  
Response Format: Provide each snippet with a title, user quote (real or fictionalised), and why it matters to product decisions.

Ask for anonymised clip excerpts to improve quote accuracy.

Prompt Template 7: “Create a Screener Survey for User Interviews”

Create a Screener Survey for User Interviews

Context: You are recruiting participants who regularly use [X type of app/service] with [Y context].  
Specific Info: The goal is to find power users and casual adopters across different industries.  
Intent: Write 5–7 questions that help eliminate unqualified users and screen in relevant segments.  
Response Format: Provide each question with answer options, and flag which are knock-out criteria.

Verify research objective before finalising screening logic.

Prompt Template 8: “Translate Quotes Into ‘How Might We’ Statements”

Translate Quotes Into ‘How Might We’ Statements

Context: You are running a synthesis session and want to reframe emerging patterns into action-oriented design questions.  
Specific Info: User quotes include recurring frustrations and feature hacks around task management.  
Intent: Convert 5–6 quotes into clearly framed ‘How Might We…’ questions to fuel ideation.  
Response Format: Output HMW statements paired with the original user quote.

Include diverse behaviour sets if available.

Prompt Template 9: “Score Interview Quality Post-Session”

Score Interview Quality Post-Session

Context: You’re coaching junior researchers or reviewing your own interview to improve future sessions.  
Specific Info: You want to detect if too many leading questions or missed follow-ups occurred.  
Intent: Develop a rubric to self-critique each interview for effectiveness.  
Response Format: Provide a 1–5 scorecard across 5 quality areas with improvement suggestions per area.

Ask for a sample interview section transcript if needed.

Prompt Template 10: “Compare Themes Across Stakeholder Personas”

Compare Themes Across Stakeholder Personas

Context: You’ve conducted interviews with three user segments: end-users, internal admins, and external partners.  
Specific Info: Each persona experiences different parts of a shared process (e.g. case submission or dashboard setups).  
Intent: Highlight alignment and divergences across groups based on interview synthesis.  
Response Format: Three-column comparison matrix: Persona, Common Theme, Unique Frustration/Need.

Validate persona definitions with user types before comparison.

Recommended Tools

• Lookback — record, tag, and collaborate on interviews in real-time
• Dovetail — store, transcribe, and analyse qualitative data
• Otter.ai — automated transcription with speaker detection
• Notion — organise takeaways and themes for team review

Learn More

• NNGroup: UX Research & Design Articles
• Interaction Design Foundation – Topics
• Google Design Sprint Kit