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Use case · Signup friction

Find the signup step that loses first-time users

Form length, SSO, OTP, email verification. Find the exact signup step where new users drop before they ever see the product.

Analyze signup frictionTry it now (no signup)
For · Growth PMs and founders fixing top-of-funnel activation.
The problem

Signup drop-off hides between the steps.

A long form, an SSO detour, an OTP that never arrives. Any one of them quietly loses users before activation. Aggregate signup-completion rates tell you it happened. They never tell you which step did it, or which segment it hit hardest.

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 attempts signup on the live flow, filling fields, hitting SSO, waiting on OTP, and quitting where a real user would.

03

You get a per-step drop-off funnel that names the exact step each cohort drops, the why, and dissent across ICP segments.

04

Shorten or reorder the failing step, re-run, and confirm signup completion climbs.

Example input

Point Presume at a staging flow like this:

Staging URL: https://staging.acme.app/signup · ICP: marketing managers signing up from a paid ad · Flow: email + password, then a 9-field profile form, then SSO offer, then email-code verification.
The outcome

More signups reach the product.

See the exact friction step that loses first-time users, the why, and the rewrite that recovers them. Before you ship the form.

  • 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.

Book your intro callSee the demo
Presume

AI users that find where your signups get stuck.

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