Use case · Signup flows
Find the signup step that breaks first-time users
Activation lives or dies in the first 90 seconds. Find the failing step before it costs you a cohort.
For · Growth PMs and signup designers.
The problem
You can't watch a cohort go through your signup.
Session recordings show what users did. Surveys show what they remember. Neither tells you which step lost which segment, or why. By the time analytics flags the drop-off, the cohort has already churned.
How it works
Four moves. Twelve minutes.
01
Point Presume at your staging signup URL and describe your ICP.
02
A swarm of AI users walks the live flow, clicking, typing, hesitating, and quitting the way first-time users do.
03
You get a per-step drop-off funnel, the one named step each cohort abandons, the why, and a dissent score across ICP segments.
04
Rewrite the failing step, re-run, and confirm activation climbs.
Example input
Point Presume at a staging flow like this:
Staging URL: https://staging.acme.app/onboarding · ICP: ops leads at 50-200 person logistics teams · Flow: sign up, connect a data source, invite a teammate, create the first dashboard.
The outcome
Activation goes up. Support load goes down.
Stop guessing which step kills your new-user cohort. See the named friction step, the why, and the rewrite. Before you ship.
- Run against your staging URL
- Per-step drop-off funnel
- Named step each cohort abandons + dissent across ICP
- Rewrite of the failing step included
Find the friction before real users drop off.
Book a 30-minute call. We'll stress-test your signup flow with AI users, show you the friction point, and get you set up the same week.