What workflow would this feature improve for you?
Prioritize Feature Requests
Interviewer agent · 2.5K uses
Don't ship a roadmap your users never validated. A handful of recruited users in a room can't tell you if your roadmap is right. This template runs an adaptive concept-testing conversation with each user — revealing your product or feature idea and probing the why behind every reaction — so you learn what to build before you build it.
Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.
Invite your customers, prospects, or a recruited panel. The AI moderator runs each conversation live and probes the why behind every answer — real voices, at scale.
Generate AI persona responses in minutes for fast, directional signal — pressure-test concepts and messaging before you field, or when recruiting isn't an option.
The core fields every response captures.
What problem would this solve for you, if any?
Would you adopt this — and would you pay for it? Why or why not?
Follow-ups that change based on what people say.
If they don't see the problem, probe how painful the status quo really is
If they mention a workaround, ask what it costs them in time or money
Different paths for different answers.
Route enthusiastic users into willingness-to-pay and must-have-feature questions
Direct skeptical users into a deeper status-quo and alternatives discussion
Actions that fire the moment a response comes in.
Send standout reactions and objections to the product team in Slack
Log each session's themes to a discovery doc in Notion
Post completed transcripts to your analysis pipeline via webhook
Describe the product or feature concept you want reactions to. The AI moderator reveals it to each participant, captures unprompted first impressions, then probes the problem it solves, what they like and dislike, what's missing, how they solve it today, and whether they'd adopt or pay — adapting follow-ups to each answer. Run it with real users or synthetic participants and get the themes synthesized across everyone.
Describe the product or feature concept you want to test
Choose real users or generate synthetic responses
Set the dimensions to probe — problem fit, gaps, adoption, pricing
Review synthesized themes before your next roadmap decision
A product focus group gathers reactions from target users to a product or feature concept before you commit engineering time to building it. The goal is to learn what problem the concept actually solves for people, what they like and dislike and why, what's missing or confusing, how they handle the job today, and whether they'd adopt or pay. Traditional product focus groups do this with a handful of recruited users in a room — slow, costly, and easily dominated by the loudest voice. This template runs the same probing conversation with each participant individually, adapting follow-ups to every answer, so you hear honest reactions at scale and get synthesized themes in hours instead of weeks.
More research templates to validate concepts, interview users, and prioritize what to build.
What workflow would this feature improve for you?
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If you could only have one of these improvements, which would it be?
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Go deeper on running AI focus groups for product discovery and concept testing.

The complete guide to running AI focus groups — why they work, when to use them, and how to get started.
Read article
Concrete use cases for AI focus groups across product discovery, CX, and message testing.
Read articleReplace 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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