Dana
The first-time founderRuns a roofing business. Wants more jobs, not another tool to learn.
Try a run as DanaGive AI personas a goal and a real browser. Find out where they click, hesitate, and give up—before your customers do.
Different instincts. Unscripted journeys. Actual evidence.
A HUMAN POINT OF VIEW.You know your product too well. You know which button to press, what the labels mean, and what’s supposed to happen next.
Your customers bring a different set of assumptions. Saram brings those differences into your testing.
Take a look inside
[ OBSERVE → ACT → LEARN ]A first-timer, a fast skimmer, or someone with two minutes and a phone. Pick a person with a different point of view.
“Find a blue shirt in my size and buy it.” Give them the goal. Let them work out the steps.
Follow their actions and expectations. Review where they succeeded, got stuck, or decided to leave.
Experience, attention, and patience change what people notice. Your testing should account for that.
Runs a roofing business. Wants more jobs, not another tool to learn.
Try a run as DanaSkips the fine print. Tries the obvious thing. Has somewhere else to be.
Try a run as MarcusKnows her way around software. Notices when your product contradicts itself.
Try a run as PriyaOn his phone, between patients. Every extra tap is another reason to leave.
Try a run as RayTakes the path you didn’t plan for. Wants to see what the product can really do.
Try a run as KaiAI personas with distinct behaviors—not a panel of human participants.
Browse the persona libraryA finding is more useful when you can see what led to it. Keep the screen, the thought, and the outcome together.

Review session recordings when available. See the detours a pass/fail result can’t explain.
Diary entries capture intent, surprise, and frustration alongside the actions.
Follow a finding back to its screenshots and steps. Understand it before you change it.
Try a new feature with a first-time user. Revisit checkout after a release. Give the same goal to someone on a smaller screen.
Explore the scheduling workflow
A NEW PATH, EVERY TIME.Explore three connection paths, from the computer you already use to a dedicated testing setup.
A local runner uses your existing Claude Code or Codex login on your machine.
A private runner that stays online for the schedules you want to keep.
A hosted worker uses your Anthropic or OpenAI API account with separate usage billing.
Connection paths are demonstrated in the preview. Live provider authentication and execution aren’t connected yet.
The best place to start is with a goal your customer would recognize.
Try the dashboardPut a fresh point of view to work.
Meet your next test teamExplore the interactive demo.