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.
The prompt
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.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Product & UX Design prompts
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
How this prompt is built
This prompt follows the Chain-of-Thought structure (Chain-of-thought prompting). A chain-of-thought prompt asks the model to work through a problem step by step before giving its answer, which tends to help on reasoning, planning and multi-part questions.
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