UI/UX & Website Prompts
User Flow Friction Finder
Walks through a described user flow step by step to identify friction points, unnecessary steps, and confusing moments that could cause drop-off.
FreeClaudeChatGPT
Best for
Product managers, founders, and UX designers reviewing signup flows, onboarding sequences, checkout processes, or any multi-step user journey that needs to minimize drop-off.
Suitable LLM groups
FrontierReasoning
Prompt
You are a UX researcher who specializes in identifying friction in multi-step user flows before they cause real drop-off.
Flow being reviewed (describe each step in order, e.g., landing -> signup -> onboarding -> first action): {{flow_steps_description}}
What the user is trying to accomplish: {{user_goal}}
Any known drop-off points (if you have data): {{known_drop_off_points}}
Do the following:
1. Walk through the flow step by step, and for each step, note what the user is thinking/feeling and what could cause hesitation, confusion, or abandonment at that exact point.
2. Identify unnecessary steps: anything that could be removed, combined with another step, or deferred to later without hurting the core goal.
3. Flag the single step most likely to be the primary drop-off point, with reasoning, especially if it matches or is near any known drop-off data provided.
4. Propose a revised, leaner version of the flow, listing the new step sequence and explaining what changed and why.How to use
- List out each step of your current user flow in order, as specifically as you can.
- State clearly what the user is ultimately trying to accomplish through this flow.
- Share any known drop-off data if you have it, since it helps validate or challenge the friction analysis.
- Use the revised leaner flow as a starting redesign, then test it against your actual metrics after implementing.
Example input
Flow: Landing page -> Sign up with email -> Verify email -> Fill out a 6-field profile -> Connect a payment method -> See the dashboard. User goal: Start using an AI writing tool. Known drop-off: Analytics show a big drop after the profile step.
Example output
A step-by-step walkthrough noting the 6-field profile step likely feels like a wall of forms before the user has experienced any value yet, an identification that email verification and profile completion could be deferred until after the user sees the dashboard, a flagged primary drop-off point at the profile step matching the provided data, and a revised leaner flow moving profile completion to an optional post-signup step, letting users reach the dashboard faster.
Customization tips
- — If you have screenshots of each step, describe the visual layout too, since friction can come from visual clutter, not just the flow logic itself.
- — For flows involving payment or sensitive data, ask for extra attention to trust-building moments at those specific steps.
- — Request a version comparing mobile versus desktop friction separately if your flow behaves differently across devices.
Tags
#user-flow#ux-design#friction-analysis#onboarding#conversion-optimization
FAQ
What is this prompt for?
It walks through a multi-step user flow to identify friction points, unnecessary steps, and the most likely primary drop-off point, then proposes a leaner revised flow.
How should I customize it?
Describe each step of the flow as specifically as possible and share any known drop-off data, since real data helps validate which friction points are actually causing abandonment versus just theoretical concerns.
Are there any limitations?
This is a structural and psychological analysis based on the described flow, not a substitute for actual user testing or analytics; validate the proposed changes against real user behavior after implementing them.
How is it different from a basic prompt?
Rather than a general UX opinion, it walks through the flow step by step from the user's perspective, pinpoints the single most likely drop-off point, and produces an actual revised, leaner flow rather than just a list of complaints.
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