SKILL·E23362

journey-mapping

rampstackco
更新于 1 month ago
8 次查看
464
57
464
在 GitHub 上查看
其他aidesign

关于

This skill creates customer journey maps and service blueprints to visualize end-to-end user experiences, including touchpoints, emotions, and friction points. It is triggered by requests related to journey mapping, service blueprints, or touchpoint analysis, and helps align teams by identifying pain points across an experience. It is stack-agnostic and tool-agnostic, focusing on surfacing friction and opportunities.

快速安装

Claude Code

推荐
主要方式
npx skills add rampstackco/claude-skills -a claude-code
插件命令备选方式
/plugin add https://github.com/rampstackco/claude-skills
Git 克隆备选方式
git clone https://github.com/rampstackco/claude-skills.git ~/.claude/skills/journey-mapping

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

Journey Mapping

Build journey maps and service blueprints that surface friction, align teams, and identify opportunities. Stack-agnostic. Tool-agnostic.

This skill is for mapping the experience. For testing specific touchpoints, use usability-testing. For broader generative research, use ux-research. For analyzing conversion, use cro-optimization.


When to use

  • Departments have different mental models of the customer experience
  • Customer experience feels disjointed across touchpoints
  • Specific friction or drop-off points need diagnosis
  • Strategic planning needs a shared view of the user
  • Service design (front-stage and back-stage) needs alignment
  • New product or feature needs to be designed in context of broader experience

When NOT to use

  • Testing a single touchpoint or page (use usability-testing)
  • Generative research before journey mapping (use ux-research)
  • Operational process mapping that doesn't involve users
  • Funnel optimization (use cro-optimization)

Required inputs

  • Identified user persona or segment to map (one map per segment)
  • Existing research and data about that segment
  • Cross-functional access (you cannot map back-stage without ops/support/engineering input)
  • Time and stakeholder commitment (a real journey map is a project, not an afternoon)

The framework: 3 deliverables

1. Customer journey map

The user-facing view of the experience.

Structure (rows / lanes):

  • Phase. The major stages in the journey (e.g., Awareness, Consideration, Onboarding, Activation, Retention, Advocacy). Phases vary by product type.
  • Steps. Specific things the user does within each phase.
  • Touchpoints. Where the user interacts with the product, brand, or service (web, app, email, support, social, in-person).
  • Goals. What the user is trying to accomplish at this step.
  • Thoughts. What's going through their mind.
  • Emotions. The emotional state (often visualized on a curve).
  • Pain points. Where things go wrong, friction, frustration.
  • Opportunities. Where the experience could improve.

Format:

Typically a horizontal timeline with vertical lanes for each row. Phases across the top, touchpoints, thoughts, emotions, etc. underneath.

2. Service blueprint

The back-stage view that supports the customer-facing experience.

Adds these layers below the journey map:

  • Front-stage actions. What employees do that the user sees (sales calls, support chats, in-store interactions).
  • Back-stage actions. What happens behind the scenes (order fulfillment, data processing, internal handoffs).
  • Supporting processes. Systems, vendors, infrastructure (CRM, payment processors, fulfillment partners).
  • Lines of visibility. The line between front-stage (visible to user) and back-stage (invisible).

The service blueprint shows where customer-facing problems originate in back-stage failures (e.g., the user's "shipping is slow" experience traces to a vendor handoff issue).

3. Synthesized opportunity map

Output of the mapping work.

Captures:

  • Top friction points. Where the experience consistently fails users.
  • Untapped opportunities. Moments where the experience could surprise and delight.
  • Disconnects. Where front-stage and back-stage are misaligned.
  • Strategic gaps. Where competitors have something the brand lacks (or vice versa).
  • Quick wins. Low-effort, high-impact improvements.
  • Strategic bets. Higher-effort transformations.

This is the deliverable that produces decisions. The journey map and service blueprint are inputs; the opportunity map is the output that drives action.


Common phases by product type

Most products

Awareness → Consideration → Decision → Onboarding → Active use → Renewal/Repurchase → Advocacy

SaaS

Trigger → Discovery → Evaluation → Trial → Onboarding → Activation → Habit → Expansion → Renewal → Advocacy

Ecommerce

Need recognition → Discovery → Research → Decision → Purchase → Wait/Anticipation → Receive → Use → Reorder/Recommend

Service

Awareness → Inquiry → Quote → Decision → Service delivery → Resolution → Follow-up → Repeat business

Healthcare / high-stakes purchases

Trigger → Research → Provider selection → Appointment → Treatment → Recovery → Follow-up → Long-term outcome

Phases are not mandatory. Start with the user's actual experience and let the phases emerge from the steps.


How to gather the inputs

A good journey map combines multiple sources of truth.

From users

  • In-depth interviews. Walk users through their actual experience. Ask for specifics from a recent occurrence.
  • Diary studies. Users log their experience over the duration of the journey.
  • Surveys. Quantitative signal at scale; less depth.

From the business

  • Internal interviews. Sales, support, success, ops. They see the experience from different angles than product or design.
  • Operational data. Funnel data, support ticket categories, NPS responses, churn reasons.
  • System inventory. What touchpoints exist, what tools support them, what data flows where.

Cross-validate

  • The user's experience as they describe it
  • The data the business has about their behavior
  • The internal team's perception of the experience

These three views often disagree. The disagreements are themselves findings.


Workflow

  1. Define scope. One persona, one journey, one timeframe. Trying to map all users in one map produces a mess.
  2. Gather inputs. User interviews, internal interviews, operational data. Plan 2 to 4 weeks for inputs.
  3. Draft the journey. Phases, steps, touchpoints. Get to a working draft fast; iterate.
  4. Add the layers. Goals, thoughts, emotions, pain points.
  5. Build the service blueprint. Front-stage, back-stage, supporting processes.
  6. Identify opportunities. Use the friction points and disconnects.
  7. Validate with users. Does this match their actual experience? Refine.
  8. Workshop with stakeholders. Walk teams through the map. Ensure shared understanding.
  9. Translate to action. Specific projects, owners, timelines.
  10. Maintain. A journey map is a living document. Revisit annually or after major changes.

Failure patterns

  • Mapping without research. A journey map built from internal assumptions reflects assumptions, not users.
  • One map for all users. The mid-market buyer and enterprise buyer have different journeys. Don't merge.
  • No back-stage layer. The map shows symptoms, not causes.
  • Beautiful map, no action. Investment in production value at the expense of decisions.
  • Map as artifact, not tool. Filed in Figma, never re-opened.
  • Ignoring emotional layer. The "what" without the "how it feels" misses the point of journey mapping.
  • Vague pain points. "Frustrating onboarding" - what specifically? When? Why?
  • Quick wins identified, never executed. Same as research findings that don't ship.
  • Annual exercise without followup. Year-old journey map describes year-old user.

Output format

Default outputs:

  1. Journey map (visual, typically Figma / FigJam / Miro, plus a markdown narrative version)
  2. Service blueprint (visual, typically same tool)
  3. Opportunity map (markdown, prioritized list)

Markdown narrative version of journey map:

# [Persona] journey map

## Phase 1: [Phase name]

### Step: [Step name]
- **Touchpoint:** [Where this happens]
- **Goal:** [What the user wants here]
- **Thoughts:** [What they're thinking]
- **Emotion:** [State on the emotional curve]
- **Pain points:** [Friction]
- **Opportunities:** [Improvement potential]

### Step: [Step name]
[Same structure]

## Phase 2: [Phase name]
[Repeat]

## Service blueprint additions

### Phase 1
- **Front-stage actions:** [What employees do user-visibly]
- **Back-stage actions:** [What happens behind the scenes]
- **Supporting processes:** [Systems involved]

[Repeat per phase]

## Opportunity map

### Critical friction
1. [Specific issue, with evidence]
2. [Specific issue, with evidence]

### Quick wins
1. [Specific opportunity, with effort/impact]

### Strategic bets
1. [Specific opportunity, with effort/impact]

### Cross-team disconnects
1. [Specific disconnect, with implication]

Reference files

GitHub 仓库

rampstackco/claude-skills
路径: skills/journey-mapping
0
agent-skillsai-agentsanthropicclaudeclaude-aiclaude-code
FAQ

Frequently asked questions

What is the journey-mapping skill?

journey-mapping is a Claude Skill by rampstackco. Skills package instructions and resources that Claude loads on demand, so Claude can perform journey-mapping-related tasks without extra prompting.

How do I install journey-mapping?

Use the install commands on this page: add journey-mapping to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.

What category does journey-mapping belong to?

journey-mapping is in the research category, tagged ai and design.

Is journey-mapping free to use?

Yes. journey-mapping is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.

相关推荐技能

Web Research
其他

该Skill能通过web搜索对任何主题进行在线研究,支持浅层和深度两种搜索模式。它自动解析查询、聚合多源信息并生成结构化Markdown报告。开发者可快速获取最新行业趋势或深度技术分析,适用于信息收集和市场研究等场景。

查看技能
dev-research-codebase-exploration
其他

这个Skill为开发者提供了高效的代码库探索能力,通过Glob模式匹配文件和Grep搜索文件内容。它特别适合在大型代码库中快速定位组件定义、状态管理文件或特定函数调用。开发者可以使用模式匹配查找文件,或通过正则表达式搜索代码内容,支持大小写忽略和上下文显示等实用功能。

查看技能
Data Analyzer
其他

Data Analyzer 是一款高级数据分析技能,能够处理结构化和非结构化数据集,进行模式识别、异常检测并生成数据驱动的建议。它适用于业务分析、研究验证和性能评估等场景,提供探索性数据分析、统计检验和相关分析。开发者可通过自然语言指令快速获得可视化结果和可操作的见解,简化复杂的数据分析工作流。

查看技能
moltlab
其他

MoltLab是一个面向研究者的社区协作工具,允许开发者在科研工作流中提出主张、运行计算、投票辩论及评审论文。它通过分布式计算支持类似Folding@home的众包研究模式,强调人类对研究质量的直接监督和所有权。开发者可用它参与或管理需要同行评审、对抗性验证的开放式科研项目。

查看技能