What workflow would this feature improve for you?
A
Prioritize Feature Requests
Interviewer agent · 2.5K uses
Interviewer Agent
User Research Interview Template
Interview scripts miss the best user insights. Traditional interview guides force researchers to stick to predetermined questions, missing critical follow-ups. This template adjusts questioning based on participant responses, role, and product usage patterns to uncover actionable insights for product teams.
Deeper insights
Authentic responses
Faster analysis
Used 1,768+ times
What's inside this template
Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.
Questions it always asks
The core fields every response captures.
What's your current role and how long have you been using our product?
Walk me through your typical workflow when using our product
How it adapts
Follow-ups that change based on what people say.
If participant is a power user, ask about advanced feature requests and workflow optimizations
If participant churned or considered churning, explore specific friction points and competitor comparisons
Where it routes people
Different paths for different answers.
Route technical users to product manager for feature prioritization discussions
Route decision makers to sales team if they mention expansion needs
Automations it can trigger
Actions that fire the moment a response comes in.
Send interview summary to Notion research database with participant tags
Create Slack alert to product team when critical issues are mentioned
Update participant record in Airtable with interview completion status
SOC 2 Type II and ISO 27001:2022 certified. Responses are encrypted in transit and at rest, and you own your data. View our Trust Center.
How this AI template works
The AI starts with screening questions to understand the participant's role and product experience. It then adapts the conversation flow, asking targeted follow-ups about pain points, feature usage, and workflow context. Key insights are captured and formatted for product team review.
Getting started
- 1
Define your research objectives and target participant criteria
- 2
Set up participant screening questions and experience levels
- 3
Configure follow-up prompts for different user personas
- 4
Connect to your research repository or note-taking tools
Template Details
- Agent Type
- Interviewer
- Category
- Product & research
- Industry
- SaaS / Tech
- Business outcome
- Build the right product
- Job to be done
- Interview customers & users
- Journey stage
- Discovery & research
- Replaces
- 1:1 interviews
- Integrations
- Slack, Notion, Webhook
- Times Used
- 1,768+
Forms collect fields. Conversations capture context.
Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.
The static form
yoursite.com/intake
Category *
Select...
Details
Describe your situation...
Submit
Result:Category: "Other"|Details: "It's complicated"
No context. No follow-up. No next step.
- Rigid interview scripts force researchers to stick to predetermined questions, preventing exploration of unexpected insights that emerge during conversations.
- Manual transcription and coding of interview responses takes days or weeks, delaying critical product decisions that need user insights immediately.
- Standardized question sets fail to adapt to different user contexts, missing persona-specific pain points that vary across user segments and use cases.
The AI conversation
"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"
Extracted & structured automatically
Category
High-priority
Urgency
Deadline: 2 weeks
Sentiment
Frustrated but hopeful
Next step
Route to senior team
Triggered: Slack alert sent| CRM updated
Right team. Full context. Instant action.
- Adaptive conversations follow user responses with intelligent follow-ups, uncovering deeper behavioral insights without researcher intervention or leading questions.
- Automatic transcription and thematic analysis deliver structured insights within hours, accelerating research timelines from weeks to days for faster iteration.
- Dynamic questioning adapts to each participant's context and usage patterns, capturing nuanced insights that static scripts consistently miss.
What makes user research interviews effective?
Effective user research interviews balance structure with conversational flexibility to capture authentic insights. The best approaches include open-ended questions that encourage user storytelling, behavioral probes that reveal actual usage patterns, and follow-up questions that explore pain points deeper. Your interview should cover user goals, current workflows, frustrations, and desired outcomes. However, rigid adherence to scripts often blocks the natural conversation flow that produces the most valuable behavioral insights and contextual understanding of user needs.
FAQ
Frequently Asked Questions
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Replace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.
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