User Research

Customer Journey Mapping Canvas

Works with ChatGPT, Claude, Gemini, and other AI assistants

Create an end-to-end customer journey map for [user persona] using [product/feature]. For each stage (Awareness, Consideration, Purchase/Adoption, Onboarding, Engagement, Retention, Advocacy), detail: 1) User goals and needs, 2) Touchpoints with your product/company, 3) User thoughts and emotional state (use a 1-5 rating), 4) Pain points and friction, 5) Opportunities for improvement, 6) Key metrics to track, and 7) Responsible team/department. Include a timeline estimate for the full journey and identify the 3 most critical moments that determine overall success.

How to Use This Prompt

  1. Copy the prompt using the button above
  2. Replace placeholders in [brackets] with your specific details
  3. Paste into your AI assistant (ChatGPT, Claude, Gemini, etc.)
  4. Iterate as needed - ask follow-up questions to refine the output

Why This Prompt Works

This prompt structures the journey map around seven distinct lifecycle stages with seven analysis dimensions per stage, producing a comprehensive grid that leaves no gaps in your understanding. The emotional-state rating system (1-5) makes abstract feelings quantifiable, and requiring you to identify the three most critical moments forces prioritization rather than trying to fix everything at once.

When to Use This Prompt

  • When onboarding drops are high and you need to pinpoint exactly where users lose motivation or get stuck
  • Before a cross-functional workshop to create a shared baseline understanding of the current customer experience
  • When planning a product redesign and you need to map the full experience to identify the highest-impact improvements

Tips for Better Results

  • Define your user persona with specific details (role, company size, technical skill level) rather than a generic label for more realistic journey mapping
  • Ask the AI to generate a visual-friendly table or markdown format so you can directly paste the output into Miro, FigJam, or Notion
  • Follow up by asking the AI to recommend specific metrics and instrumentation for each of the three critical moments it identifies

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