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Consumer journey mapper

Maps an end-to-end consumer app journey across every touchpoint and stage, documenting user actions, thoughts, emotions, friction points, and opportunities per stage, plus a moment-of-truth analysis, emotional curve…

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Purpose

Produce a stage-by-stage map of a consumer app's core journey — capturing what the user does, thinks, and feels at each touchpoint, where friction lives, and which moments make or break retention — so product and UX teams can see the whole experience at once and act on the highest-leverage fixes.

When to Use

Invoke this skill when the user asks to:

  • Map a user journey or experience flow for a consumer app
  • Understand where users drop off or get stuck across a multi-step flow
  • Document touchpoints from first action through completion (e.g., home → request → fulfillment → payment)
  • Align a product team on the full end-to-end experience for a release or quarter
  • Identify the highest-impact friction points to fix before a launch or redesign
  • Build an emotional curve or moment-of-truth analysis for a key flow

Inputs Required

Before starting, collect:

  • App type and category: What the app does and its market (e.g., ride-hailing, food delivery, fintech, fitness)
  • Core journey to map: The specific flow, ideally as a rough touchpoint sequence (e.g., home screen → request → matching → pickup → in-ride → payment → rating)
  • Primary persona: Who is taking this journey — goals, context, tech comfort
  • User goal: What the user is trying to accomplish end to end
  • Known pain points: Any drop-off data, complaints, or support tickets already observed
  • Business objective: What the team wants to improve (conversion, retention, NPS, completion rate)
  • Platform context: iOS / Android / web / cross-platform, and whether the journey spans device or offline moments

If persona or known pain points are missing, infer a reasonable primary persona from the app type and note the assumption, then flag friction hypotheses rather than confirmed data.

Instructions

Step 1: Define the Journey Scope and Stages

Break the core journey into 5–8 discrete stages, each anchored to a touchpoint or shift in user intent.

  • Name each stage as a verb-led user phase, not a screen name (e.g., "Requesting a ride," not "Request screen")
  • Define a clear start trigger (what brings the user into the journey) and end state (what success looks like)
  • Mark stage boundaries where the user's goal, context, or channel changes
  • If the input sequence is provided, use it as the stage skeleton and refine for missing transitions (e.g., wait/matching states, error recovery)

Step 2: Populate Each Stage Across Five Lanes

For every stage, document these five lanes:

  1. Actions: What the user concretely does (taps, inputs, waits, decisions)
  2. Touchpoints: Where it happens — specific screens, notifications, emails, support, offline moments
  3. Thoughts: What the user is asking themselves ("Is this the right price?" "How long will this take?")
  4. Emotions: A single dominant emotion per stage, with intensity (e.g., "Anxious — 6/10"); use a consistent scale of 1–10
  5. Friction points: Specific obstacles, confusion, delays, or trust gaps — labeled by type (Cognitive load / Effort / Trust / Wait time / Error / Mismatch)

Tie friction to the lane it disrupts. Vague friction ("it's confusing") is not acceptable — name the screen element or decision causing it.

Step 3: Plot the Emotional Curve

Translate the per-stage emotion scores into a described curve from start to finish.

  • Identify the high point (peak delight) and the low point (peak frustration)
  • Note where the curve dips below neutral — these are abandonment risk zones
  • Apply the peak-end rule: call out whether the most intense moment and the final moment are positive, since these disproportionately shape memory and retention

Step 4: Identify Moments of Truth

Surface the 3–5 moments that most determine whether the user continues, converts, or returns.

  • First Moment of Truth: The first time the user judges whether the app delivers (often first request or first result)
  • Make-or-break moments: Stages where friction directly causes drop-off
  • Trust moments: Where the user decides whether to share data, pay, or rely on the product For each, state why it matters and the consequence of getting it wrong.

Step 5: Map Opportunities Per Stage

For each stage, list 1–3 concrete opportunities to reduce friction or amplify a positive moment.

  • Frame each as an action ("Show estimated wait time during matching to reduce abandonment anxiety")
  • Tie each opportunity to the friction or emotion it addresses
  • Distinguish quick wins (copy, defaults, ordering) from structural changes (new flow, integration)

Step 6: Prioritize Fixes

Rank the top 8–10 opportunities across all stages by expected impact on the stated business objective.

  • Score each on Impact (High/Med/Low) and Effort (High/Med/Low)
  • Lead with high-impact / low-effort items
  • For each, name the stage it affects and the metric it should move

Output Format

  • Structure: Journey overview → per-stage table (5 lanes) → emotional curve description → moments of truth → opportunities per stage → prioritized fix list
  • Length: 1,000–1,400 words
  • Format: Structured document with a per-stage table (Stage | Actions | Touchpoints | Thoughts | Emotion+Score | Friction); prioritized fixes as a ranked list with Impact/Effort labels
  • Sections: Journey scope & persona → Stage-by-stage map (table) → Emotional curve → Moments of truth → Opportunities by stage → Prioritized fix list (top 8–10)
  • Tone: Product strategist — observational, user-grounded, specific; no jargon padding, no generic UX platitudes

Quality Checklist

Before delivering output, verify:

  • [ ] The journey is broken into 5–8 stages, each verb-led and tied to a real touchpoint
  • [ ] Every stage has all five lanes filled (Actions, Touchpoints, Thoughts, Emotion+score, Friction)
  • [ ] Each emotion uses the consistent 1–10 scale, and the curve names a clear high and low point
  • [ ] 3–5 moments of truth are identified, each with a stated consequence of failure
  • [ ] The prioritized fix list has 8–10 items, each with Impact/Effort labels and an affected stage
  • [ ] Friction points name specific elements or decisions — none are vague ("confusing," "clunky")

Notes

  • The abandonment risk zones are almost always wait states and trust/payment moments — give those stages extra scrutiny even if no pain data exists for them
  • When drop-off data is provided, anchor friction to where the numbers fall rather than guessing across the whole flow
  • A journey map is only useful if it drives action — the prioritized fix list is the deliverable's real payload; the stages are context for it
  • For two-sided marketplaces (rider/driver, buyer/seller), confirm which side's journey is being mapped before starting, or map the primary side and flag the dependency on the other

How to use this skill

This file is a Claude Code skill in Anthropic's standard format — markdown with YAML frontmatter at the top.

Installing in Claude Code:

  • ~/.claude/skills/<folder-name>/SKILL.md — auto-loads in every session anywhere on your machine (recommended for skills you'll use across multiple projects)
  • <your-project>/.claude/skills/<folder-name>/SKILL.md — auto-loads only when working in that project (recommended for project-specific skills)

Restart Claude Code or open a new session to register.

Using in Claude.ai, ChatGPT, Gemini, or other AI tools:

  1. Drag this file into a new chat, or copy and paste its contents
  2. Send your task or request as your next message — the AI will apply the skill where it fits

For Claude Code skill details: https://docs.anthropic.com/en/docs/claude-code/skills