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customer journey experience mapper
Map end-to-end customer journeys to identify friction, ownership gaps, and high-impact improvement opportunities.
$5
Works with the AI Agents you already use
customer journey experience mapper
Example session with this skill installed
Map the journey for a freelance developer (persona) using a new AI-powered time-tracking app (product) from initial discovery on social media to their first successful invoice generation.
- Read your context and instructions
- Compiled the customer journey experience
I have mapped the end-to-end journey for a freelance developer using the AI time-tracking app, focusing on the transition from passive discovery to the high-value "aha moment" of the first invoice.
Customer Journey Map: Freelance Developer
| Stage | Customer Action | Expectations | Friction/Pain Points | Opportunity |
|---|---|---|---|---|
| Discovery | Sees ad on X/LinkedIn while complaining about admin work. | Wants a tool that "just works" without manual entry. | Skepticism toward "AI" marketing buzzwords. | Use technical case studies showing background automation. |
| Evaluation | Visits landing page; checks pricing and integrations (GitHub/VS Code). | Needs to see if it supports their specific IDE workflow. | Lack of clear documentation on data privacy/storage. | Add a "How it works for devs" technical deep dive section. |
| Onboarding | Connects repo and sets up first project. | Expects automated categorization of commits to tasks. | Permission fatigue (OAuth scopes feel too broad). | Implement granular permission requests to build trust. |
| Usage | Works for a week; reviews auto-generated time logs. | Expects 90%+ accuracy in task labeling. | Manual editing is tedious if the AI mislabels a task. | Add a "one-click fix" for bulk re-categorization. |
| Advocacy | Generates and sends the first professional invoice. | Professional appearance; seamless payment link integration. | Invoice template customization is too hidden in settings. | Surface "Finalize & Send" as a primary CTA after log review. |
Moments That Matter
- The OAuth Handshake: If the developer feels the app asks for too much repo access, they will churn immediately.
The First Log Review: The moment the user sees their work accurately captured without typing is the primary retention trigger.
Next steps
- Review the OAuth scope requirements to ensure they are the absolute minimum needed for the "AI" to function.
- Create a "Developer Trust" page addressing data residency and how code metadata is processed.
- Relocate invoice template settings to the onboarding checklist to ensure the first output looks perfect.
Connects securely to your tools. The creator never sees your data.
About this skill
Product teams often struggle to visualize how customers actually move from discovery to advocacy, leading to fragmented experiences and hidden friction. This skill audits the end-to-end journey to identify precisely where trust breaks down or handoffs fail. It delivers a structured map of actions, expectations, and pain points based on your specific product and target audience.
What it does
- Stage Mapping breaks the customer lifecycle into distinct phases from discovery through retention.
- Friction Auditing identifies specific pain points and emotional lows where users are most likely to churn.
- Expectation Analysis contrasts what the customer wants at each step versus the actions they are forced to take.
- Opportunity Identification highlights ownership gaps and moments that disproportionately influence conversion.
- Improvement Prioritization ranks potential fixes based on their impact on the customer experience.
How it works
- Provide your product details, target persona, and the specific journey scope you want to analyze.
- The agent breaks the journey into stages, mapping touchpoints and user questions for each phase.
- It separates research-backed evidence from logical hypotheses to ensure data integrity.
- You receive a structured deliverable including a journey map, pain points, and prioritized opportunities.
Frameworks & tools
This skill follows service design and customer experience (CX) best practices. It works with any product stack, from SaaS platforms to physical retail services, and outputs Markdown-formatted maps compatible with Notion, Obsidian, or GitHub.
Why this beats prompting it yourself
Generic prompts often result in vague, high-level advice that ignores specific business friction. This skill forces a rigorous separation between facts and assumptions while focusing on high-stakes "moments that matter" that generic models miss.
Use cases
- Auditing a SaaS onboarding flow to reduce time-to-value.
- Mapping the transition from sales to customer success to close ownership gaps.
- Identifying why high-intent leads drop off during the evaluation phase.
- Preparing a service design blueprint for a new product launch.
Known limitations
Does not invent user research data or fabricate market evidence. Output quality depends on the specific persona and product context provided.
Requires manual input of customer goals and product context. Does not include visual diagram files (e.g., Mermaid or SVG) unless specifically requested.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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