# Signup Friction Priority Sheet

Canonical page: https://waitlist.crany.ai/marketing-templates/signup-friction-priority-sheet

By Tangenix. Published 2026-10-24. Category: Landing pages.

Prioritize observed signup barriers using task impact, reproducible evidence and recovery options before changing an account-creation flow.

## Task

Choose which verified pre-account signup barrier to repair first.

## When to use

Use this when people attempt to sign up but encounter different obstacles. Start with observed errors, unclear requirements or failed recovery rather than inferring motivation from an incomplete funnel.

## Choose another approach when

You only know that a visitor left, need to diagnose an in-product onboarding task, or plan to remove necessary access controls merely to reduce the number of steps.

## Inputs

- The real signup promise, required inputs and expected completion state.
- Safe observations or reproducible reports from people attempting signup.
- Actual instructions, validation feedback and recovery behavior in the relevant version.

## Template

    Signup step / version: [before an account is created]
    Observed barrier: [what happened, without guessing a motive]
    Evidence and repeatability: [safe record, conditions and sample limits]
    Effect on the promised task: blocked / recoverable difficulty / unclear / unknown
    What the person could perceive: [instruction, error and next action]
    Recovery available: [actual path or missing behavior]
    Required constraint to preserve: [access or necessary validation]
    Candidate repair: [specific change, not a full redesign]
    Reason to prioritize now: [impact and evidence, not an invented score]
    Owner / bounded check: [who will verify the repair]
    Before-and-after task result: [same relevant conditions]
    Still unknown: [frequency, broader causes or unobserved cases]
    Separate post-account issues into an onboarding record.

## Illustrative example

This is not a Crany customer result. Replace example details with verified facts.

    Fictional example: a designer submits a signup form with a valid address but receives “Something went wrong”. The error is reproducible under one documented account condition, and the page provides no way to recover.
    The founder prioritizes a truthful explanation and a working recovery path over changing button color. A separate observer’s hesitation over an optional company-name field is recorded, but not treated as the same blocking defect or as proof that the field caused abandonment.
    After repair, a fresh test reaches the correct signup acknowledgement. That verifies the scoped task change; it does not establish a conversion uplift or justify weakening account protection.

## How to use

1. Locate the barrier before account creation and preserve the observed conditions.
2. Compare task impact, available recovery and evidence before choosing a repair.
3. Retest the relevant path after the change and retain uncertainty about unobserved cases.

## Checks

- Silence or an abandoned session is not assigned a cause without evidence.
- Error recovery and instructions match actual product behavior.
- A repair does not remove a necessary access boundary or claim an unmeasured conversion gain.

## What to measure

Track reproduced barriers, completed recoveries and unresolved signup tasks using a stable definition. A repair check can show that a particular path works; estimating prevalence or causal conversion impact needs separate data and a suitable design.

## Research and sources

W3C WAI covers clear form instructions and understandable submission feedback. This prioritization sheet is original; it is not an accessibility audit, a validated severity scale or evidence that a particular repair increases signups.

- [W3C WAI: Form Instructions](https://www.w3.org/WAI/tutorials/forms/instructions/) — checked 2026-10-24. Clear required/optional input, formats and contextual help associated with form controls.
- [W3C WAI: User Notification](https://www.w3.org/WAI/tutorials/forms/notifications/) — checked 2026-10-24. Clear success and error feedback, identification of affected controls and understandable recovery instructions.

Prepared with AI assistance. Sources support the stated principles; they do not endorse Crany or guarantee performance.

## About Crany

Crany is an AI marketing co-founder in development for software founders and vibe coders. It is designed to strategize, execute approved marketing and improve based on results. These free resources are usable independently of app access. The public waitlist is at https://waitlist.crany.ai/.