account-research
Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM.…
\"Map and analyze the customer journey across Awareness, Consideration, Decision, Usage, and Advocacy stages. Use this skill when the user needs to understand the customer experience end-to-end, identify drop-off points, optimize touchpoints, or improve conversion — even if they
$ npx -y skills add charlieviettq/awesome-agent-skill --skill biz-customer-journey --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/biz-customer-journeyContext preview
The summary Claude sees to decide when to auto-load this skill.
\"Map and analyze the customer journey across Awareness, Consideration, Decision, Usage, and Advocacy stages. Use this skill when the user needs to understand the customer experience end-to-end, identify drop-off points, optimize touchpoints, or improve conversion — even if they
name: "\"biz-customer-journey\"" description: "\"Map and analyze the customer journey across Awareness, Consideration, Decision, Usage, and Advocacy stages. Use this skill when the user needs to understand the customer experience end-to-end, identify drop-off points, optimize touchpoints, or improve conversion — even if they say 'where are we losing customers', 'what's our funnel look like', or 'map the user experience'.\"." allowed-tools: Read, Glob, Grep
Customer Journey Mapping visualizes the entire experience a customer has with a brand — from first awareness through post-purchase advocacy. It identifies touchpoints, emotions, pain points, and opportunities at each stage. The goal is to find and fix where customers get stuck, frustrated, or leave.
**Trigger conditions:**
**When NOT to use:**
IRON LAW: Map the Customer's Reality, Not Your Ideal The journey map must reflect what customers ACTUALLY experience, not what you designed or intended. If customers Google your brand and find negative reviews (reality), don't map "customer visits our website" (ideal). Base the map on data: analytics, customer interviews, support tickets, heatmaps — not internal assumptions.
IRON LAW: Every Touchpoint Needs an Emotion A journey map without emotions is a process diagram. At every touchpoint, note the customer's emotional state: confident, confused, frustrated, delighted. Emotions predict behavior better than process steps.
**1. Awareness** — Customer realizes they have a need or discovers your brand
**2. Consideration** — Customer evaluates options and compares alternatives
**3. Decision** — Customer chooses and purchases
**4. Usage** — Customer uses the product/service
**5. Advocacy** — Customer recommends (or warns against) the brand
Who is this journey for? Use the target segment from STP:
For each stage, list:
Find the 2-3 critical moments that disproportionately impact the overall experience:
Rank improvements by: Impact on customer satisfaction × Feasibility × Cost. Fix the highest-impact pain points first.
# Customer Journey Map: {Product/Service}
## Persona
- Name: {persona name}
- Profile: {segment description}
- Goal: {what they're trying to achieve}
## Journey Map
| Stage | Touchpoints | Actions | Emotion | Pain Points | Opportunities |
|-------|------------|---------|---------|-------------|---------------|
| Awareness | {list} | {what they do} | 😊/😐/😤 | {friction} | {improvement} |
| Consideration | ... | ... | ... | ... | ... |
| Decision | ... | ... | ... | ... | ... |
| Usage | ... | ... | ... | ... | ... |
| Advocacy | ... | ... | ... | ... | ... |
## Moments of Truth
1. **{moment}** — {why this is critical}
2. **{moment}** — {why this is critical}
## Priority Improvements
1. {Stage} → {specific improvement} — Impact: High, Effort: Low
2. ...**Scenario:** Journey for a Taiwanese food delivery app (persona: 30-year-old office worker ordering lunch)
| Stage | Touchpoints | Emotion | Pain Point | |-------|------------|---------|------------| | Awareness | Colleague mentions app during lunch discussion | 😊 Curious | None — organic discovery | | Consideration | Downloads app, browses restaurants, reads reviews | 😐 → 😤 | Too many choices, no "nearby + fast" filter | | Decision | Selects restaurant, adds items, sees delivery fee + minimum order | 😤 | Delivery fee NT$60 feels expensive for a NT$120 lunch; minimum order forces buying more than needed | | Usage | Waits for delivery, receives food, eats | 😊 → 😐 | Food arrives in 35 min (app said 25), packaging leaked | | Advocacy | Doesn't refer friends | 😐 | No referral incentive; experience was "okay, not great" |
**Moment of Truth**: Decision stage — the delivery fee shock causes 40% cart abandonment (data-backed ✓).
**What went wrong:**
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