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User Journey Map Template for Experience Design

Design UX Design intermediate 🤖 ChatGPT 👁 1 views

📝 The Prompt

Act as a UX designer and service design expert trained in journey mapping. Help me create a comprehensive user journey map. My context: Product or service: [What you are mapping] User persona: [Who the primary user is — their goals, frustrations, tech comfort] Journey to map: [e.g., onboarding, checkout, support request, product discovery] Stakeholders who will use this map: [Product, engineering, marketing, customer success] Data available: [User interviews, analytics, support tickets, surveys?] Mapping tool: [Miro, FigJam, Confluence, Notion, physical whiteboard] Please create a journey map framework covering: 1. Phases/stages of the journey from trigger to goal completion 2. For each phase: actions (what the user does) 3. For each phase: thoughts (what they think and assume) 4. For each phase: emotions (feelings on a high/low emotional curve) 5. Touchpoints and channels involved at each stage 6. Pain points and friction moments 7. Moments of delight and opportunity moments 8. Internal teams responsible at each touchpoint 9. Metrics that measure each phase performance Also recommend how to validate the map with real user research.

⚙️ Replace 6 placeholders: [What you are mapping] [Who the primary user is — their goals, frustrations, tech comfort] [e.g., onboarding, checkout, support request, product discovery] [Product, engineering, marketing, customer success] [User interviews, analytics, support tickets, surveys?] [Miro, FigJam, Confluence, Notion, physical whiteboard]

🎯 What this prompt does

This AI prompt helps you user journey map template for experience design. Designed for ux design workflows in the design category, it's a intermediate-level prompt you can copy directly into ChatGPT to get instant, production-ready results.

Use it when you need a intermediate prompt that produces clear, actionable output without wrestling with trial-and-error wording. Just copy, customize, and run.

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🚀 How to use this prompt

  1. Copy the prompt using the 📋 button above.
  2. Open ChatGPT (or Claude, Gemini, Perplexity, or your preferred LLM).
  3. Paste the prompt into a new chat. Replace 6 bracketed placeholders ([What you are mapping] [Who the primary user is — their goals, frustrations, tech comfort] [e.g., onboarding, checkout, support request, product discovery] ) with your own details.
  4. Run the prompt and review the AI's response. Most outputs are usable immediately.
  5. Iterate if needed — if the tone, length, or structure isn't quite right, reply with "make it shorter", "use bullet points", or "make it more formal" and the AI will refine it.

💡 Tips for better results

  • Replace the bracketed placeholders ([What you are mapping], [Who the primary user is — their goals, frustrations, tech comfort], [e.g., onboarding, checkout, support request, product discovery], [Product, engineering, marketing, customer success]) with your own specifics before sending.
  • If the first output isn't quite right, ask the AI to refine, rewrite, or add more detail — iteration is key.
  • For long outputs, ask for a section at a time (e.g. 'start with the introduction only') to keep quality high.
  • Combine this with other design prompts to build an end-to-end workflow.
  • Save your favorite variations — small wording tweaks often produce noticeably different results.
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✨ What you'll get

When you run this prompt, expect ChatGPT to return:

  • A directly usable ux design output tailored to the details you provided
  • Clear structure (headings, bullets, or numbered sections) that you can drop into your workflow
  • Content that matches your specified tone and context
  • Results in under 30 seconds — no manual drafting required

Need a different angle? Just ask follow-up questions. The AI will adjust without you starting over.

🔄 3 variations to try

1

Make it more formal

Add "Use a formal, professional tone suitable for enterprise clients" at the start of the prompt.

2

Ask for multiple options

Append "Give me 5 alternative versions, each with a different angle or approach." after the main instruction.

3

Request structured output

Add "Return the response as a markdown table (or bullet list, or JSON)" so you can paste the result directly into your docs or code.

🏷 Tags

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