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Prioritize Feature Requests
Interviewer agent · 2.5K uses
Find out if shoppers will buy it before the shelf does. A facility focus group of eight shoppers is slow and expensive. This template runs an adaptive concept-testing conversation with each shopper — presenting your product or packaging and probing appeal, price, and the why — so you learn what will actually sell before launch.
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 would you expect this to cost?
What would make you try it — and buy it again?
Follow-ups that change based on what people say.
If they hesitate on price, probe what would make it feel worth it
If they compare it to a current brand, ask what would make them switch
Different paths for different answers.
Route high intent into repurchase and channel-preference questions
Direct hesitant shoppers into a deeper price-and-alternatives discussion
Actions that fire the moment a response comes in.
Send winning concepts and standout quotes to the brand team in Slack
Log each session's themes to a product research doc in Notion
Post completed transcripts to your analysis pipeline via webhook
Present the product, packaging, or concept you want to test. The AI moderator shows it to each shopper, captures first impressions, then probes appeal, expected price, comparison to current buys, trial and repurchase drivers, and concerns — adapting follow-ups to each answer. Run it with real shoppers or synthetic participants and get the themes synthesized across everyone.
Load the product, packaging, or concept you want to test
Choose real shoppers or generate synthetic responses
Set the dimensions to probe — appeal, price, trial, repurchase
Review synthesized themes before you commit to a launch
A consumer focus group gathers reactions from shoppers to a consumer or CPG product — a product itself, its packaging, a new flavor or feature, or its positioning — before a launch or line extension. The goal is to learn what appeals and what doesn't, what people expect it to cost, how it stacks up against what they buy today, and what would make them try it and buy it again. Traditional consumer focus groups recruit a small panel into a facility with a moderator: slow, expensive, and limited to a handful of voices. This template runs the same probing conversation with each shopper individually, adapting follow-ups to every answer, so you capture honest reactions at scale and get synthesized themes in hours.
More research templates to test products, concepts, and positioning with consumers.
What workflow would this feature improve for you?
Interviewer agent · 2.5K uses
If you could only have one of these improvements, which would it be?
Interviewer agent · 2.1K uses
What's the one thing you'd change about the product?
Interviewer agent · 2.8K uses
Walk me through what you were doing right before you started using us.
Interviewer agent · 820 uses
Can you show me how you currently solve this problem?
Interviewer agent · 1.8K uses
Walk me through what happened when you tried to complete that task.
Interviewer agent · 1.6K uses
Go deeper on running AI focus groups for consumer and CPG research.

How consumer brands use AI focus groups to test concepts and messaging in days, not quarters.
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The complete guide to running AI focus groups — why they work, when to use them, and how to get started.
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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