AI interviews surface the signal behind the metrics: who truly loves your product, why, and what would make them leave.
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When teams use Persona

Before a new feature ships
When the build is done but you haven't confirmed the feature solves the right problem in the right way for real users.

When activation or adoption metrics are underperforming
When the numbers flag a problem and your team needs the human story behind the signal before deciding what to fix.

When different user segments behave in ways you can't explain
When your usage data shows different patterns across segments but no one on the team agrees on what's actually driving them.
Built for
Product Manager
VP of Product
Head of Design
UX Researcher
Growth Lead
Head of Onboarding
Customer Success Lead
VP of Engineering
Founder
What you learn from interviews

Whether people actually need the product
The real problems users are trying to solve, and whether your product maps to those problems the way you think it does.

Where users get stuck or drop off
The exact moments in your product where confusion, friction, or unmet expectations cause users to disengage.

How they compare it to alternatives
The workarounds, competitors, and status-quo solutions users default to—and what would make them switch for good.

What drives or kills adoption
The missing capabilities, pricing concerns, or experience gaps between your current product and the one they'd never leave.
Our partner's thoughts
Otter AI · Research
"The feedback from the AI interviews was also consistent with what I heard in the human conversations."
M
Misha Cornes
User Researcher · Otter AI
48h
Average time from brief to synthesized insights
6×
Faster than traditional qual research
From brief to insights in 48 hours

Ready to validate
product-market fit
Book a 30-minute demo and we'll show you Persona running a live PMF validation interview—with your users, your product.
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