
Discover Journey Map
- 381 installs
- 518 repo stars
- Updated August 4, 2026
- product-on-purpose/pm-skills
discover-journey-map is a Claude Code skill for ai & agent building.
About
discover-journey-map is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- discover-journey-map
- AI & Agent Building
- AI-coding skill
Discover Journey Map by the numbers
- 381 all-time installs (skills.sh)
- +28 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #2,034 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 381 |
|---|---|
| repo stars | ★ 518 |
| Last updated | August 4, 2026 |
| Repository | product-on-purpose/pm-skills ↗ |
How do I helps with ai & agent building tasks.?
Helps with ai & agent building tasks.
Who is it for?
Best when you're working on ai & agent building and need structured help with discover journey map.
Skip if: Teams with no ai & agent building needs, or anyone wanting a generic chat assistant without this specific workflow.
When should I use this skill?
When you need to helps with ai & agent building tasks., or when discover-journey-map is a claude code skill for ai & agent building.
What you get
Structured output aligned to discover-journey-map: discover-journey-map, AI & Agent Building.
Files
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
Customer Journey Map
You produce a customer journey map that captures stages, touchpoints, emotional curve, pain points, and opportunities. Your job is to surface the structure of the customer experience and identify where the product can intervene productively.
Identity
- Phase skill (discover); Triple Diamond integration
- Single-turn lifetime; produces one journey map per invocation
- Read-only tools (Read, Grep); produces markdown output (with optional mermaid block)
- Composes with
utility-mermaid-diagramsfor visual output
Core principle
A journey map is a synthesis artifact, not a brainstorm. Every stage, touchpoint, emotion, and pain point should trace to research input (interview, survey, analytics, observation). Hand-wavy "I imagine the user feels frustrated here" entries are a P0 anti-pattern that misleads the team.
If the user provides research signal (interview transcripts, survey results, analytics data, customer support tickets), you ground the map in that signal. If they provide hypotheses, you label entries as hypothetical and recommend validation research.
Inputs
Required:
- Persona or customer segment (who the journey is FOR)
- Goal / outcome (what the customer is trying to accomplish)
- Scope: end-to-end (full lifecycle) OR focused (a specific phase like onboarding, checkout, renewal, support)
Optional but improves quality:
- Research data: interview synthesis, survey results, customer support tickets, analytics
- Existing journey map to revise or extend
- Specific stages or touchpoints the user wants to ensure are covered
- Linear vs. cyclical journey type (linear default; cyclical for recurring engagement)
What you produce
1. Executive summary (3-5 sentences)
Who the journey is FOR, what they're trying to accomplish, where the biggest pain points and opportunities are, and the most important moment of truth.
2. Persona / segment
A 1-paragraph summary of the customer this journey describes. Reference an existing persona if one exists (skill: foundation-persona); summarize key attributes if not.
3. Journey scope
The phase / lifecycle covered. State explicitly what is included; what is excluded.
4. Stages (3-7 named stages)
Each journey stage has:
- Stage name (use customer-language verb forms: "Discovers", "Considers", "Tries", "Decides", "Uses", "Renews", etc.)
- Customer goal at this stage (what they're trying to do)
- Duration estimate (minutes, days, weeks)
- Trigger that moves them into this stage
- Exit criterion that moves them out
5. Touchpoints per stage
For each stage, list the touchpoints (where customer interacts with product or organization):
| Stage | Touchpoint | Channel | What happens |
|---|---|---|---|
| Discovers | Search result | Search engine | Sees competitor option |
| Discovers | Landing page | Web | Lands on product page |
| Considers | Product demo | App / video | Watches 90-second product overview |
| ... |
6. Emotional curve
For each stage, what the customer feels. Use specific emotional labels (frustration, hope, surprise, anxiety, satisfaction) NOT generic ones (happy / sad).
Format as a table:
| Stage | Dominant emotion | Confidence (high / medium / low based on research evidence) | Source |
|---|---|---|---|
| Discovers | Curiosity, mild skepticism | Medium | 12 user interviews; 3 mentioned skepticism explicitly |
| Considers | Frustration | High | 87% of survey respondents in this stage cited "confusing pricing" |
If no research data exists, label every entry as "Hypothesis" with confidence "Low" and recommend validation research.
7. Pain points and moments of truth
Pain points: where the customer experiences friction, confusion, frustration, blockers. Per stage.
Moments of truth: critical moments where customer perception is formed. These are NOT every interaction; they are the 3-5 moments that determine whether the customer continues or abandons.
Use a table:
| Stage | Pain / Moment of Truth | Severity (1-5) | Customer evidence | Implication |
|---|---|---|---|---|
| Considers | Pricing confusion | 4 | 87% survey signal | Block conversion; needs price-clarity work |
| Tries | "Aha moment" reached when ... | Moment of Truth (5) | 92% who reach this stage convert | Make this the activation criterion |
8. Opportunities (annotated per stage)
Where the product can intervene to reduce pain or amplify a moment of truth. Per stage, 1-3 opportunities.
Format:
| Stage | Opportunity | What product change addresses it | Effort estimate (rough) |
|---|---|---|---|
| Considers | Reduce pricing confusion | Add comparison table on landing page | Small |
| Tries | Accelerate aha moment | Onboarding tour with quick win | Medium |
9. Visual (mermaid diagrams)
Produce mermaid diagrams when feasible; markdown tables are always the valid fallback.
Master diagram: a mermaid timeline or flowchart covering the full journey. Use timeline for linear journeys; flowchart for branching journeys with decision points.
Sectional diagrams: for journeys with 5 or more stages, also produce a focused mermaid block per stage (or per 2-3 stages) to avoid visual crowding and rendering failures.
For multi-actor journeys, mermaid is simplified or omitted; parallel markdown tables (one per actor) are preferred.
Example master diagram:
timeline
title Customer Journey
Discovers : Sees ad : Lands on website
Considers : Reads pricing : Watches demo
Tries : Signs up : Onboarding
Decides : Upgrades or churns10. Research gaps (explicit)
What is the map NOT addressing because data is unavailable? What follow-up research would close the most important gaps?
Refusal protocols
You refuse to produce a journey map without minimum input quality. Specifically:
1. No persona or scope. "I need to know whose journey this is and what they're trying to accomplish. Provide a persona (or persona summary) and the goal."
2. Fabricate emotional data without research. If user asks "what does the customer feel here?" without providing research signal: "I can suggest hypothetical emotions, but they will be labeled Hypothesis (Confidence: Low) and recommended for validation. Want to proceed with hypothesis-mode, or do you have research data to ground this?"
3. Service blueprint or architecture diagram request. This skill covers user-experience artifacts: journey maps, user flows, and funnels as user-experience lenses. It does NOT produce service blueprints, operational diagrams, or system architecture maps. If user asks for a service blueprint: "Service blueprints map operational processes and back-stage activities - this skill covers the user-experience side. For a service blueprint, use a diagramming tool directly. Want to continue with a user journey map instead?" Note: funnels viewed as a user-experience lens (what does the user feel and do at each funnel stage?) ARE within scope.
4. Excessive scope. End-to-end journey for a long-lifecycle product (e.g., 5 years of B2B SaaS engagement) is too coarse to be useful. Refuse: "End-to-end over 5 years is too coarse. Pick a phase: pre-purchase (discovery to first contract), onboarding (signup to first value), expansion (renewal + cross-sell), or off-boarding (churn signals + recovery)."
5. Single touchpoint as the whole journey. If user provides only one touchpoint (e.g., "checkout"): "A single touchpoint isn't a journey. Either expand to the surrounding stages (e.g., browse + add-to-cart + checkout + post-purchase) OR switch to a different artifact like deliver-edge-cases for the checkout flow specifically."
Patterns
Linear journey (default)
Single sequence: Stage 1, Stage 2, Stage 3, etc. Customer moves from start to end. Use for purchase journeys, onboarding flows, support resolution paths.
Cyclical journey
Recurring loop. Customer returns to a stage on a cadence. Use for renewal cycles, engagement loops, recurring task workflows (e.g., monthly QBR cycle for B2B customer).
Multi-actor journey (advanced)
Multiple personas with intersecting journeys (e.g., buyer + influencer + user in B2B). Show parallel tracks with intersection points.
This is an advanced pattern. Use sparingly; complex to maintain. In multi-actor runs: use parallel markdown tables (one per actor) with shared touchpoints annotated; mermaid is simplified or omitted; include a complexity warning in the output noting that multi-actor journeys are harder to validate and research depth should prioritize the primary actor.
Cross-skill composition
- Output of this skill feeds into:
define-problem-statement,define-hypothesis,define-opportunity-tree(each stage's pain or moment of truth can become a problem statement) - Inputs to this skill often come from:
foundation-persona(the WHO),discover-interview-synthesis(qualitative signal),measure-survey-analysis(quantitative signal) - Visualizes via:
utility-mermaid-diagrams(timeline or flowchart) - Adversarial review via:
utility-pm-critic(challenges where emotions and moments of truth lack research evidence)
Output format
Use the template in references/TEMPLATE.md to structure the output. See references/EXAMPLE.md for a complete worked example.
Quality checklist
Before finalizing, verify:
- [ ] Persona and scope are stated explicitly
- [ ] 3-7 named stages, each with goal, duration, trigger, exit criterion
- [ ] Every emotional-curve entry carries a confidence label and a source (or is marked Hypothesis)
- [ ] Moments of truth are limited to the 3-5 that decide continue-vs-abandon, not every interaction
- [ ] Each opportunity ties to a specific pain point or moment of truth
- [ ] Mermaid diagram is present when feasible, with markdown tables as fallback
- [ ] Research gaps are stated explicitly
Cross-references
- Template:
references/TEMPLATE.md - Examples:
references/EXAMPLE.md+ library samples inlibrary/skill-output-samples/discover-journey-map/
Customer Journey Map: First-Time Meal-Kit Subscriber - "From First Box to Habit"
The interview counts, survey figures, emotions, and quotes below are illustrative [fictional]. In real use, every emotional-curve and pain-point entry must trace to actual research or be marked Hypothesis.Executive Summary
This map covers a first-time meal-kit subscriber from initial discovery through the decision to continue or cancel after the first delivery cycle. The journey is grounded in 14 customer interviews and a churn survey (n=320) run in Q1 2026. The biggest pain points cluster at two moments: the checkout-time anxiety about commitment (drives 40% of cart abandonment) and the first-cook experience, which is the decisive moment of truth: subscribers whose first meal "just works" renew at roughly twice the rate of those who hit a recipe or ingredient problem. The largest opportunity is de-risking the first cook.
Persona / Segment
Busy dual-income household cook, 28-42, time-constrained on weeknights, cooks 3-4 times a week but tired of decision fatigue around "what's for dinner." Comfortable online, price-sensitive but willing to pay for convenience if quality holds. Not a culinary hobbyist: wants reliable, fast, low-skill meals. This persona matches the "Convenience Seeker" segment from the foundation-persona artifact.
Journey Scope
- Journey type: Linear
- Included: Discovery through the first renew-or-cancel decision (roughly a 3-week window: discovery to end of first delivery cycle)
- Excluded: Long-term loyalty, win-back of churned subscribers, gifting flows. Those are separate journeys.
Stages
| # | Stage | Customer goal | Duration | Entry trigger | Exit criterion |
|---|---|---|---|---|---|
| 1 | Discovers | Find a way to reduce weeknight dinner stress | Minutes | Sees ad / referral / press mention | Clicks through to the site |
| 2 | Considers | Decide if this is worth trying | 1-3 days | Lands on pricing / menu page | Starts checkout or leaves |
| 3 | Orders | Commit to a first box without overcommitting | 10-20 min | Begins checkout | First box order confirmed |
| 4 | First Cook | Cook and eat the first meals successfully | 3-5 days | Box arrives | First meal eaten (well or badly) |
| 5 | Decides | Judge whether to keep the subscription | 1-2 days | Approaching second-box charge | Renews or cancels |
Touchpoints per Stage
| Stage | Touchpoint | Channel | What happens |
|---|---|---|---|
| Discovers | Social ad / referral link | Social, word of mouth | Sees a discounted-first-box offer |
| Considers | Menu + pricing page | Web | Scans recipes, looks for the catch in the pricing |
| Considers | FAQ / cancellation policy | Web | Checks how hard it is to cancel |
| Orders | Checkout flow | Web / app | Picks plan size, meals, delivery day |
| Orders | Confirmation + delivery ETA | Gets order summary and arrival window | |
| First Cook | Box unboxing | Physical | Finds ingredients, recipe cards, ice packs |
| First Cook | Recipe card / app step-by-step | Print / app | Follows cooking instructions |
| Decides | Pre-charge reminder | Email / push | Reminded the next box is about to bill |
| Decides | Account / skip-or-cancel screen | Web / app | Renews, skips, or cancels |
Emotional Curve
| Stage | Dominant emotion | Confidence | Source |
|---|---|---|---|
| Discovers | Curiosity, mild skepticism ("too good to be true") | Medium | 14 interviews; 9 mentioned doubt about hidden costs |
| Considers | Anxiety about commitment | High | Churn survey (n=320): 40% of abandoners cited "didn't want to be locked in" |
| Orders | Cautious optimism, relief at picking a small plan | Medium | 14 interviews; recurring "started with the smallest box" pattern |
| First Cook | Either delight or frustration (bimodal) | High | Interviews split sharply on first-cook outcome |
| Decides | Confidence (if first cook worked) or buyer's remorse (if not) | High | Renewal data correlates with self-reported first-cook success |
Pain Points and Moments of Truth
| Stage | Pain / Moment of Truth | Severity (1-5) | Customer evidence | Implication |
|---|---|---|---|---|
| Considers | Commitment anxiety / fear of hard cancellation | 4 | 40% of abandoners | Make flexibility loud and early; surface "skip or cancel anytime" before checkout |
| Orders | Plan-size and meal-choice overwhelm | 3 | 6 of 14 interviewees hesitated here | Offer a "recommended starter box" default |
| First Cook | First meal succeeds and tastes good | Moment of Truth (5) | Renewers ~2x more likely to report a clean first cook | This is the decisive moment; protect it above all |
| First Cook | Missing or spoiled ingredient | 5 | 4 of 14 hit this; all 4 considered canceling | A single failure here can sink the whole subscription |
| Decides | Surprise second-box charge | 4 | Churn survey: "didn't realize it would auto-bill" | Pre-charge reminder must be unmissable |
Opportunities
| Stage | Opportunity | Product change that addresses it | Effort (rough) |
|---|---|---|---|
| Considers | Defuse commitment anxiety | Add "skip or cancel anytime, no fee" banner above the checkout button | Small |
| Orders | Reduce choice overwhelm | Pre-select a "Convenience Seeker starter box" the user can edit | Medium |
| First Cook | Guarantee first-cook success | Make the first recipe the simplest on the menu by default; add a 60-second "start here" video | Medium |
| First Cook | Catch ingredient failures fast | One-tap "something's missing" button that issues an instant credit + replacement | Medium |
| Decides | Remove charge surprise | Send the pre-charge reminder 48h ahead with a one-tap skip | Small |
Visual
timeline
title First-Time Meal-Kit Subscriber Journey
Discovers : Sees ad : Clicks offer
Considers : Scans menu : Checks cancellation policy
Orders : Picks starter box : Confirms first delivery
First Cook : Unboxes : Cooks first meal (moment of truth)
Decides : Pre-charge reminder : Renews or cancelsResearch Gaps
- The map is grounded in subscribers who completed at least the first order; it has no signal on people who abandoned at the ad click. A top-of-funnel study would close this.
- First-cook success is self-reported in interviews. Instrumenting an in-app "how did it go?" prompt after the first cook would give a behavioral measure rather than a recalled one.
- No data on whether commitment anxiety differs by acquisition channel (referral vs. paid ad). A segmented follow-up survey would test this.
Customer Journey Map: [Persona] - [Goal]
Executive Summary
<!-- 3-5 sentences: who the journey is FOR, what they want to accomplish, biggest pain points and opportunities, the single most important moment of truth -->
[Summary]
Persona / Segment
<!-- 1 paragraph. Reference an existing persona artifact if one exists, else summarize key attributes -->
[Persona summary]
Journey Scope
- Journey type: [Linear | Cyclical | Multi-actor]
- Included: [What phase / lifecycle this map covers]
- Excluded: [What is deliberately out of scope]
Stages
<!-- 3-7 stages. Use customer-language verb names: Discovers, Considers, Tries, Decides, Uses, Renews -->
| # | Stage | Customer goal | Duration | Entry trigger | Exit criterion |
|---|---|---|---|---|---|
| 1 | [Discovers] | [Goal] | [Time] | [Trigger] | [Exit] |
| 2 | [Considers] | [Goal] | [Time] | [Trigger] | [Exit] |
| 3 | [Tries] | [Goal] | [Time] | [Trigger] | [Exit] |
Touchpoints per Stage
| Stage | Touchpoint | Channel | What happens |
|---|---|---|---|
| [Discovers] | [Touchpoint] | [Channel] | [Interaction] |
Emotional Curve
<!-- Specific emotion labels, not happy/sad. Every entry needs a confidence label and a source, or is marked Hypothesis (Confidence: Low) -->
| Stage | Dominant emotion | Confidence | Source |
|---|---|---|---|
| [Discovers] | [Emotion] | [High/Medium/Low] | [Research evidence, or "Hypothesis"] |
Pain Points and Moments of Truth
<!-- Moments of truth = the 3-5 moments that decide continue-vs-abandon, NOT every interaction -->
| Stage | Pain / Moment of Truth | Severity (1-5) | Customer evidence | Implication |
|---|---|---|---|---|
| [Stage] | [Pain or MoT] | [1-5] | [Evidence] | [What it means] |
Opportunities
<!-- 1-3 per stage. Each ties to a specific pain point or moment of truth above -->
| Stage | Opportunity | Product change that addresses it | Effort (rough) |
|---|---|---|---|
| [Stage] | [Opportunity] | [Change] | [Small/Medium/Large] |
Visual
Linear journey (mermaid timeline)
<!-- Use for start-to-end journeys -->
timeline
title [Persona] Journey
[Discovers] : [touchpoint] : [touchpoint]
[Considers] : [touchpoint]
[Tries] : [touchpoint]
[Decides] : [outcome]Cyclical journey (mermaid flowchart)
<!-- Use for recurring engagement loops; show the return edge back to an earlier stage -->
flowchart LR
A[Onboards] --> B[Uses]
B --> C[Reviews / QBR]
C --> D[Renews]
D --> B<!-- For 5+ stages, also add focused sectional diagrams to avoid crowding. -->
Multi-actor journey (advanced)
<!-- For journeys with multiple personas (e.g., buyer + influencer + user in B2B): add an "## Actors" section above the Stages table naming each actor and role; produce one Emotional Curve and one Pain/Moments-of-Truth table per actor (or add an Actor column); simplify or omit the mermaid; and open the output with a complexity warning that secondary actors are harder to validate and research should prioritize the primary actor. -->
Research Gaps
<!-- What the map does NOT address because data is unavailable, and what follow-up research would close the most important gaps -->
- [Gap 1 and the research that would close it]
- [Gap 2]
Related skills
FAQ
What does discover-journey-map do?
discover-journey-map is a Claude Code skill for ai & agent building.
When should I use discover-journey-map?
When you need to helps with ai & agent building tasks., or when discover-journey-map is a claude code skill for ai & agent building.
What are the main capabilities?
discover-journey-map; AI & Agent Building; AI-coding skill.