Copy-Ready Prompt

Heuristic Audit User Flows

User flows; wireframe copy; heuristic review; design critique

ChatGPT + ClaudeBeginnerUser flows; wireframe copy; heuristic review; design critique
Quick answer: This prompt helps users create table for Heuristic audit. It is best used with ChatGPT, Claude, Gemini, Figma AI and uses Context engineering.

This copy-ready AI prompt is designed for ChatGPT, Claude, Gemini, Figma AI. Use it when your goal is: User flows; wireframe copy; heuristic review; design critique.

Prompt summary

Best for: User flows; wireframe copy; heuristic review; design critique. Skill level: Beginner.

Copy-ready prompt

Act as a senior ux/ui design expert. Create a data-driven heuristic audit deliverable for executives about {topic}. Use this context: {context}. Goal: {goal}. Constraint: rank options by impact and effort. Return the result as a table with clear sections and practical next steps.

How to customize this prompt

  • Replace placeholders like {topic}, {audience}, and {goal} with your real details.
  • Add examples when quality matters.
  • Ask the AI to revise the answer for clarity, accuracy, or format.

Best AI tools for this prompt

ChatGPT, Claude, Gemini, Figma AI.

Source/reference: Prompting reference

FAQ

What AI tool works best for the Heuristic audit User flows Prompt?

The recommended tool set is ChatGPT, Claude, Gemini, Figma AI. You can also adapt the prompt for another capable AI assistant by keeping the role, task, context, and output format clear.

How do I customize this UX/UI Design prompt?

Replace the variables {topic}; {context}; {goal}; {audience}; {constraints} with your own details. Add examples, constraints, and desired output format for better results.

Prompt metadata

Best tool: ChatGPT, Claude, Gemini, Figma AIUse case: User flows; wireframe copy; heuristic review; design critiqueSkill: BeginnerUpdated: May 5, 2026Cost: Free

Tools that can run this prompt

Related resources

Reference/source: https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-the-openai-api