User Feedback at Roadmap Speed

Every PM knows the discovery they should do and the discovery they have time for. Between stakeholder pressure, sprint cadence, and a recruiting pipeline that takes three weeks to produce five users, most product decisions ship on judgment alone. FocusGroups AI compresses the feedback loop: test a concept, poll a prioritization question, or rehearse a user interview in minutes, any time the roadmap forces a call.

Start free or try the free persona generator.

The research gap you're working around

Recruiting is the bottleneck

Five user interviews means three weeks of scheduling for five hours of signal. The decision usually can't wait, so it doesn't.

Stakeholders want evidence now

"What do users think?" is a fair question in a roadmap review. "I'll know in a month" is not a survivable answer.

Discovery skips the boring middle

Big bets get research; tiny tweaks get judgment. The medium-sized decisions, where most roadmaps live, get whoever argues loudest.

What you can run, starting today

Test the concept before the spec

Describe the feature in three sentences and run it past a panel of target users. Confusion in the panel predicts confusion in onboarding. Concept testing.

Make prioritization calls with a tally

Which of these four improvements matters most? One poll, instant tally, reasoning included. Bring it to the roadmap review. AI Poll.

Rehearse the user interview

An AI facilitator runs a full in-depth interview with a persona and surfaces the insights. Use it to pilot your questions before real sessions. AI Deep Dive.

Pressure-test pricing and packaging

Which features belong behind the paywall? Test tier structures against buyer personas before the pricing page commits you. Pricing research.

Interview the edge case

Chat 1:1 with a persona who represents the user you never meet: the churned customer, the admin, the skeptical evaluator. AI Personas.

An illustrative example

A PM at a B2B analytics company tested a proposed 'insights digest' feature before committing a quarter to it.

Concept test with a panel of data leads and ops managers, plus a deep dive with the persona who pushed back hardest.

The decision: The quarter went to anomaly alerts instead. The digest shipped later as a settings toggle, sized to what it actually was.

Built for the way you work

Frequently Asked Questions

Is synthetic feedback good enough to make roadmap decisions on?

It's evidence, not oracle. For medium-stakes calls that would otherwise ship on pure judgment, a directional panel read is a clear upgrade. For bet-the-quarter decisions, use it to sharpen the hypothesis, then validate with real users, who you'll now use far more efficiently.

How does this fit alongside real user research?

Three patterns: pilot interview guides before real sessions, pre-test concepts so real interviews start from a stronger version, and cover the long tail of small decisions that real research never reaches.

Can I test with personas matching our actual user base?

Yes. Describe your segments (roles, company size, technical depth, goals) and the panel is generated to match. You can save personas and reuse the same panel across studies for consistency.

What does the output look like?

A structured report: themes, sentiment, per-persona reasoning, and recommendations, plus the full transcript if you want the verbatims. Built to paste into a product brief.

Keep exploring

Put a panel to work today

Start free and run your first study in minutes. Get started.