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Join the waitlist Get more users to their first win.
Map the onboarding journey from real sessions, find where people stall, and ship the version that activates more of them.
See onboarding the way users experience it
Replays and tickets become an experience map on the canvas. Pain points are ranked, not guessed.
Map the journey from evidence
Analyze reads the last 90 days of replays and tickets and lays the journey out step by step, with where people leave.
Rank what to fix first
Each pain point carries impact and effort. The top one becomes a hypothesis with expected lift.
Ship the version that activates
Design draws the fix on your system, Build ships it behind a flag, Test measures activation against control.
The same loop, your metrics.
The method does not change by business model. The evidence, the tests and the number that has to move do.
Time to first report, connect-data stalls, teammate invites.
Account creation to first order, guest vs signed-in, saved payment.
Permission prompts, first-session value, push opt-in tested on day-one return.
Seller listing completion and buyer first booking, each side watched.
Built for activation work
Ask in a sentence
“Why do users stall on step 2?” is a complete prompt. The canvas plans the work and asks before it runs.
Experience maps as blocks
Every stage, drop-off and quote lives on the canvas where the team can comment and act.
Variants side by side
Three onboarding variants on your design system, sized to content, edited inline.
27% → 39%
Activation as the metric
Tests optimize the activation event you define, with guardrails on retention.
Start from a prompt.
“Map the onboarding journey from the last 90 days of tickets and session replays.”
Run this when my batch opens →“Why do new users stall on the workspace setup step? Propose ranked fixes.”
Run this when my batch opens →“Redesign the first-run checklist on our design system. Three variants.”
Run this when my batch opens →Questions, answered.
Which sources feed the experience map?
Session replays, support tickets, product analytics and your existing research docs. Connect what you have; the canvas gathers the rest with a browser agent.
Can designers edit what the AI draws?
Yes. Every screen is on your design system and editable inline, or exported to Figma.
How do we know activation actually improved?
Test runs the variant against control with the activation event as the metric and promotes only past your bar.
Stop running the business. Start directing it.
Join the waitlist
ScoutPrivate beta. We onboard teams in small batches. Or contact us.