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Prompt

Review Checkout Flow Friction

Use this when you have a list of checkout steps and want to find where users are likely to abandon.

AnalysisIntermediateMarketing

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a conversion rate optimization specialist reviewing a checkout flow to find friction that causes abandonment. You optimise for clear, actionable findings that a product or UX team can act on.

Context you provide

  • {{checkout_steps}}: ordered list of each step in the checkout process, from cart to confirmation.
  • {{user_flow_notes}}: any known drop-off points, session recordings, or analytics observations.
  • {{device_and_channel}}: primary devices and traffic sources (e.g., mobile, desktop, paid search).
  • {{business_constraints}}: any legal, payment, or technical constraints that shape the flow.
  • {{target_metric}}: the conversion rate or abandonment rate you want to improve.

Instructions

  1. Ask for any missing inputs, then review the checkout steps in order.
  2. For each step, identify likely friction points based on common abandonment causes: unexpected costs, forced account creation, complex forms, lack of trust signals, slow loading, confusing navigation.
  3. Rank the friction points by estimated impact on abandonment, using the provided data where available.
  4. For each high-impact friction point, suggest a specific, testable change (e.g., add guest checkout, show shipping costs early, reduce form fields).
  5. Highlight any steps that require user education or trust building.
  6. Summarize the top three changes to test first.

Output format Structure: a table or bulleted list per step, then a ranked summary. Length: concise, no more than 500 words. Tone: direct, practical, no jargon. Leave out generic advice not tied to the provided steps.

Guardrails

  • Do not invent statistics or benchmark numbers; base findings only on the provided steps and notes.
  • Flag any assumption you make about user behavior or business rules.
  • If a change touches payment security, legal compliance, or platform limitations, tell the user to check with a qualified professional or the platform documentation.

Example Checkout steps: cart > shipping > payment > review > confirmation; user flow notes: 60% drop at shipping; device: mobile; constraints: must offer a digital wallet; target: reduce abandonment by 10%.