When you think of our brand, what first comes to mind?
Brand Perception Survey
Interviewer agent · 1.7K uses
Test the message before the ad buy, not after. A poll tells you where voters stand; it never tells you why or what would move them. This template runs an adaptive, strictly non-partisan conversation with each voter — testing a message or policy against its opposing frame — so you learn what persuades before you spend on media.
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's your honest reaction to this message, and why?
What, if anything, would move your vote?
Follow-ups that change based on what people say.
If a message persuades them, probe exactly which phrase or claim landed
If it backfires, ask what specifically felt off or hard to believe
Different paths for different answers.
Route persuaded voters into message-recall and sharing questions
Direct skeptical voters into the opposing-frame comparison
Actions that fire the moment a response comes in.
Send the strongest and weakest messages to the team in Slack
Log each session's themes to a messaging research doc in Notion
Post completed transcripts to your analysis pipeline via webhook
Load the message, policy, or framing you want to test. The neutral AI moderator first explores each voter's own concerns, then presents the stimulus, captures unfiltered reactions, introduces the opposing frame for comparison, and probes what would move their vote — adapting follow-ups to each answer. Run it with real voters or synthetic participants and get themes synthesized across everyone.
Load the message, policy, or candidate framing you want to test
Choose real voters or generate synthetic responses
Set the dimensions to probe — concerns, persuasion, opposition, vote movement
Review synthesized themes and the strongest and weakest messages
A political focus group gathers voters' reactions to candidates, messages, policies, or issues to understand what resonates, what backfires, and what would move a vote. It surfaces voters' top concerns in their own words, their unfiltered reaction to a message or policy, what they find persuasive or off-putting and why, and how a frame holds up against the opposing one. Traditional political focus groups recruit a small room of voters and a moderator — expensive, slow, and limited to a handful of perspectives. This template runs the same probing, strictly non-partisan conversation with each voter individually, adapting follow-ups to every answer, so you capture honest reactions at scale and get synthesized themes in hours.
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Go deeper on running AI focus groups for message and reaction 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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