Know how people
will react to what
you build —
before you build it.

Your team shipped something you believed in. The design was tight. The logic was sound. Everyone in the room agreed.

Then real users saw it. And they didn't do what you expected.

The checkout that felt clean? Users hesitated at the trust badge they didn't recognize. The onboarding flow that seemed obvious? Half the audience bounced because the first question felt invasive. The landing page your VP loved? It converted at 1.2%.

You didn't have a design problem. You had a knowing problem. The only way to understand how people react to what you build has always been to build it first and watch. That feedback loop — design, ship, learn, redo — is the most expensive cycle in software. And for most teams, it has never been broken.

Not a chatbot playing a role. Not a single opinion dressed up as feedback. A population of synthetic people — each with their own life, their own biases, their own reasons to trust or hesitate.

A 24-year-old first-generation college graduate in Detroit doesn't react to a financial product the same way a 55-year-old executive in Palo Alto does. A recently laid-off parent weighing every dollar evaluates a pricing page differently than a confident early adopter who buys on impulse. A skeptic who was burned by a subscription trap last year sees your “free trial” button and feels something your designer never intended.

These reactions are real. They're just happening inside synthetic people instead of real ones. And we're building toward the point where you can't tell the difference.

Everything after that decision is execution. So we built Prior.Run to bring evidence to that exact moment — the design review. A synthetic audience reacts to your design. Multiple analytical dimensions evaluate it independently, surface where they disagree, and flag risks your team didn't see. It all lands as a structured decision memo a team can act on.

We started here because it's where the cost of being wrong is highest and the evidence gap is widest. And because every analysis calibrates our synthetic audiences against real outcomes — making them sharper, more predictive, more real. That's the flywheel.

User research takes weeks. A/B tests require traffic. The feedback loop between “we designed this” and “users actually want this” forces teams to choose between moving fast and making informed decisions. That trade-off has defined product development for decades.

We're eliminating it. When every team — from a three-person startup to an enterprise product org — can understand how their audience will react before committing resources, the entire development cycle accelerates. Fewer wasted sprints. Fewer post-launch surprises. Better products, faster.