# Find and remove friction in a signup or checkout flow

Audits a conversion flow step by step for friction and doubt, then ranks fixes by expected impact and effort, with test ideas.

- Topic: Product & UX Design
- Framework: Chain-of-Thought
- Level: Standard
- Tags: E-commerce, Analyze, Brainstorm, Fill-in Template, Step-by-step
- Source: https://www.thinkwithprompt.com/prompts/find-and-remove-friction-in-a-signup-or-checkout-flow

## Prompt

```text
Audit my signup or checkout flow for friction and suggest fixes.

**Flow:** [signup / checkout / upgrade / booking]
**Steps and screens:** [DESCRIBE EACH STEP, ITS FIELDS, BUTTONS, AND MESSAGES]
**Funnel data:** [CONVERSION OR DROP-OFF PER STEP, DEVICE SPLIT - or "none"]
**Users and what they are buying or signing up for:** [WHO, PRICE POINT, FIRST-TIME OR REPEAT]
**Constraints:** [REQUIRED FIELDS, PAYMENT PROVIDER LIMITS, LEGAL TEXT]

Review each step for:
- Effort: fields, decisions, typing, page loads, forced account creation (offer guest checkout where possible).
- Doubt: unclear total cost, surprise fees or shipping, unclear next step, missing trust signals (security, returns, reviews), no way to ask a question.
- Errors: validation that fires too early, lost data on back, card errors without guidance.
- Distraction: promo code fields that send people hunting, upsells that interrupt.
- Mobile issues: tiny targets, wrong keyboards, no wallet payment options.

Return:
1. A step-by-step table: Step | Friction found | Why it hurts | Fix | Impact (H/M/L) | Effort (S/M/L).
2. The top 5 fixes ranked by impact vs. effort.
3. Two A/B test ideas with a hypothesis and primary metric.

Base impact on the data I provided; where there is none, label your estimate as a judgment, not a fact.
```

## What to fill in

- signup / checkout / upgrade / booking
- DESCRIBE EACH STEP, ITS FIELDS, BUTTONS, AND MESSAGES
- CONVERSION OR DROP-OFF PER STEP, DEVICE SPLIT - or "none"
- WHO, PRICE POINT, FIRST-TIME OR REPEAT
- REQUIRED FIELDS, PAYMENT PROVIDER LIMITS, LEGAL TEXT

Free to copy and use. From ThinkWithPrompt (https://www.thinkwithprompt.com/), a library of 2,663 curated AI prompts.