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user-story-mapping-workshop

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项目 README

来源文件:README.md

抓取于 2026年8月2日

Product Manager Skills

GitHub stars License: CC BY-NC-SA 4.0 PRs Welcome Version Claude Code Plugin Skills

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║   70 battle-tested skills + 6 command workflows                    ║
║   Claude Code • Cursor • Codex  • n8n • OpenClaw • and more ...    ║
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║   v0.83 • July 17, 2026 • CC BY-NC-SA 4.0                          ║
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70 battle-tested PM frameworks, ready for Claude, Codex, ChatGPT, and any agent that can read structured knowledge.


Why This Exists

Generic AI output is a PM's worst enemy. When you tell your agent "write a PRD" without shared context, you get a generic document that no stakeholder trusts and no engineer can act on.

This library gives both you and your AI agent the same professional foundation: the why behind each framework, the failure modes to avoid, and the judgment to apply them correctly. You stop repeating yourself. Your agent stops guessing. The work gets better.

The goal is dual — functional and pedagogic in equal measure. Skills equip agents to do PM work at a professional level, and they teach the human PM the reasoning behind each framework — so you can explain it, adapt it, and pass it on. Neither is a byproduct of the other.


What You Can Get Done

Navigate by what you're actually trying to accomplish:

Framing and strategy

  • problem-framing-canvas — MITRE's Look Inward / Look Outward / Reframe sequence; stops teams from solving the wrong problem
  • positioning-statement — Geoffrey Moore's template for defining who you serve, what you solve, and how you're different
  • product-strategy-session — full strategy arc: positioning → problem framing → solution exploration → roadmap (2-4 weeks)

Stakeholder alignment

  • stakeholder-identification — map every stakeholder before engaging anyone: broad brainstorm → allies/audiences/influencers → R/P/D marking → equity lens → narrow to priority targets
  • stakeholder-mapping — run two complementary grids (Power × Interest for engagement strategy; Impact × Power for whose voice to elevate) and compare to find the gaps
  • stakeholder-engagement-advisor — per-stakeholder engagement planning: diagnoses their profile and context, then delivers tailored message framing, medium, cadence, and a named next action

Customer discovery and research

Prioritization and roadmapping

  • prioritization-advisor — asks 3-5 questions about your context, then recommends RICE, ICE, Kano, or the right alternative
  • epic-breakdown-advisor — splits large epics using Richard Lawrence's 9 patterns
  • roadmap-planning — gather inputs → define epics → prioritize → sequence → communicate (1-2 weeks)

Writing PM deliverables

  • user-story — Mike Cohn format + Gherkin acceptance criteria, with anti-patterns
  • prd-development — structured PRD: problem → personas → solution → metrics → stories (2-4 days)
  • press-release — Amazon Working Backwards: clarify product vision before writing a line of spec

Validation and experimentation

  • pol-probe-advisor — recommends which prototype type to run based on your hypothesis and risk level
  • pol-probe — template for documenting lightweight validation experiments before building

Finance and growth

  • business-health-diagnostic — diagnoses SaaS health across growth, retention, efficiency, and capital using your real metrics
  • organic-growth-advisor — McKinsey Growth Pyramid triage: diagnoses whether your constraint is in new segments, geographies, channels, or products
  • feature-investment-advisor — build / don't build recommendation using revenue impact, cost, ROI, and strategic value

Market and competitive intelligence

Career and leadership transitions

AI product work


Get Started

Choose your setup:

I use...Get thisNotes
Claude Desktop or Claude Webpm-skills-starter-pack.zipUnzip, then upload the individual skill ZIPs to Claude Skills
Claude CodePlugin marketplaceclaude /plugin marketplace add deanpeters/Product-Manager-Skills
Codexpm-skills-codex.zipInstalls .agents/skills and AGENTS.md
Not surepm-skills-starter-pack.zipStart here

All downloads: GitHub Releases

Themed packs for Claude Desktop / Web

Each pack below is a ZIP of upload-ready skill ZIPs — unzip, then upload individuals to Claude Skills:

PackDownloadWhat's inside
Starterpm-skills-starter-pack.zipCore skills across all categories
Discovery02-discovery-pack.zipResearch, interviewing, synthesis
Strategy03-strategy-pack.zipPositioning, roadmapping, prioritization
Delivery04-delivery-pack.zipPRDs, stories, epics
AI PM05-ai-pm-pack.zipContext engineering, orchestration, readiness
Market Intel06-market-intel-pack.zipThe full Market Intelligence Suite: disciplines, investigation chain, frameworks, monitors
All skills99-all-skills-pack.zipAll 70 skills

Install guides


Try It First — Streamlit (beta)

Not ready to wire skills into your agent setup? Run the local playground first and kick the tires in your browser.

pip install -r app/requirements.txt
streamlit run app/main.py

What you can do:

  • Learn — browse setup and integration paths without leaving the app
  • Find My Skill — describe your situation in plain English and get recommended skills
  • Run Skills — run a skill with your own scenario once you know what you want

Multi-provider support: Anthropic, OpenAI, Ollama. API keys via environment variables only (no in-app key entry).

Docs: app/STREAMLIT_INTERFACE.md · app/.env.example

Feedback welcome via GitHub Issues or LinkedIn.


70 Skills, 3 Types

Skills are organized in three tiers that build on each other:

┌────────────────────────────────────────────────────────┐
│  WORKFLOW SKILLS (19)                                  │
│  Complete end-to-end PM processes (days to weeks)      │
│  Example: run a full discovery cycle or write a PRD    │
└────────────────────────────────────────────────────────┘
                       ↓ orchestrates
┌────────────────────────────────────────────────────────┐
│  INTERACTIVE SKILLS (27)                               │
│  Guided discovery — 3-5 questions, then recommendations│
│  Example: "Which prioritization framework fits here?"  │
└────────────────────────────────────────────────────────┘
                       ↓ uses
┌────────────────────────────────────────────────────────┐
│  COMPONENT SKILLS (24)                                 │
│  Templates for specific PM deliverables (30-90 min)    │
│  Example: write a user story with acceptance criteria  │
└────────────────────────────────────────────────────────┘

Interactive skills use an Adaptive Decision Ladder. Instead of dumping a framework at you, an interactive skill asks 3-5 targeted questions about your specific context, then offers numbered recommendations — each with a clear "use this when" rationale. You pick a path. The skill executes it and explains the why as it goes. If you want to just learn the framework without doing the work, you can ask that too — the skill coaches you either way. This is ABC — Always Be Coaching — in practice.

Full catalog: catalog/INDEX.md — all 70 skills with descriptions, or browse skills/ directly.


How a Skill File Works

Every SKILL.md follows the same structure:

SectionWhat it contains
Frontmattername, description, type, intent, best_for, scenarios
PurposeWhat this skill does and when to reach for it
InputWhat you can bring (with example invocations) — inline input is used, not re-asked, and arriving empty-handed is fine: the skill walks you through it
Key ConceptsFrameworks, definitions, anti-patterns — with vocabulary explained
ApplicationStep-by-step instructions an agent (or human) can follow
ExamplesReal-world cases showing both good and bad versions
Common PitfallsNamed failure modes with consequences and corrections
ReferencesRelated skills and external frameworks

The best_for frontmatter field lists 3-5 specific scenarios where the skill is most useful — helpful for quickly scanning whether a skill fits your situation.

Why no $ARGUMENTS templating? Other skill libraries use Claude Code's $ARGUMENTS substitution for input. We deliberately don't: it only expands in Claude Code (it renders as literal syntax in Claude Desktop/Web, Codex, and the Streamlit playground), and it teaches the human reader nothing. Instead, every skill has a plain-language ## Input section that works on every runtime — and makes clear you can show up with full context, partial context, or nothing at all and be guided through the rest. Full rationale in CONTRIBUTING.md.


Works With

Claude Code · Claude Desktop · Claude Web · OpenAI Codex · ChatGPT · Cursor · Windsurf · n8n · LangFlow · CrewAI · Gemini · any agent that reads structured markdown

See docs/Platform Guides for PMs.md for platform-specific setup.


Docs

DocumentPurpose
Using PM Skills 101Beginner-friendly orientation — setup without technical overload
Platform Guides for PMsTool-by-tool setup chooser for every supported platform
Using PM Skills with ClaudeClaude Code + GitHub ZIP upload for Claude Desktop/Web
Using PM Skills with CodexLocal workspace + GitHub-connected Codex on ChatGPT
Using PM Skills with ChatGPTGitHub app, Custom GPT Knowledge, and Project-based usage
Using PM Skills with Slash Commands 101Turn skills into reusable slash commands like /pm-story
Add-a-Skill Utility GuideEnd-to-end guide for generating and validating new skills
Market Intelligence Suite SummaryThe 14-skill competitive/market research suite: disciplines, chain, and which skill to run when
Building PM SkillsHow raw PM content gets distilled into agent-ready skills
START_HERE.md60-second onboarding for local repo users

What's New

v0.83 — July 17, 2026 · The Market Intelligence Suite

v0.82 — July 8, 2026

  • Added incoming-request-advisor (Interactive) — drop in a Slack ping, email, mandate, or escalation and get a structured breakdown that separates the literal ask from the real job-to-be-done, reads sender power and stake, and points you toward a reply. Ships with a copy/paste template so you can run it by hand too
  • New: a browsable download shelf at /dist — no terminal, no Releases tab. Read the plain-language README, scan the CATALOG, and download any skill or pack straight from the repo. Built for PMs who just want the skills
  • Library now at 70 skills

v0.81 — July 4, 2026

  • Every skill now has a required ## Input section: what to bring, what happens to context you supply up front (it's used, not re-asked), and reassurance that arriving empty-handed is fine — the guided flow covers the rest
  • Added argument-hint autocomplete for Claude Code users; deliberately no $ARGUMENTS templating — it breaks on every other runtime and teaches the reader nothing (why)
  • Validator now enforces the convention: skills fail without an Input section or with bare $ARGUMENTS in the body
  • Streamlit playground shows each skill's "What to bring (all optional)" before you start a session
  • Restored agent-orchestration-advisor (Interactive) — the multi-agent workflow design skill was referenced everywhere but only existed on an orphaned commit; recovered from git history and brought up to current standards

v0.80 — June 19, 2026

  • Added stakeholder-identification (Component) — comprehensive stakeholder brainstorm using allies/audiences/influencers, R/P/D marking, equity lens, and bias check; narrows to priority targets
  • Added stakeholder-mapping (Component) — two complementary grids (Power × Interest + Impact × Power); comparing outputs reveals who you're under-engaging relative to how much the product affects them
  • Added stakeholder-engagement-advisor (Interactive) — per-stakeholder engagement planning via Adaptive Decision Ladder: three questions on profile, power/impact, and context deliver tailored message framing, medium, cadence, and a named next action

All three adapted from the MITRE Innovation Toolkit via the companion repo MITRE ITK Skills — worth a bookmark if you work in discovery, facilitation, or cross-functional product strategy.

v0.79 — May 15, 2026

  • Added organic-growth-advisor — McKinsey Growth Pyramid triage for new segments, geographies, channels, or products
  • Added pm-skill-creator — interactive skill for designing repo-compliant skills via guided conversation
  • Fixed missing .claude-plugin/plugin.json that silently blocked Claude Code skill discovery
  • Added configurable input length guard (PM_MAX_INPUT) and path traversal protection to helper scripts

→ Full changelog


Contributing

Found a gap? Have a PM framework worth formalizing? The bar is pedagogic — skills must teach the why, not just the how.

See CONTRIBUTING.md for guidelines, or open an issue to start a conversation.


License

CC BY-NC-SA 4.0 — non-commercial use with share-alike.

Everything in this repository — every skill, template, and doc — is licensed CC BY-NC-SA 4.0. There is no mix of licenses here.

Some skills note in their Provenance sections that they were adapted from product-manager-prompts, Dean's earlier prompt library. That repo has the same author, so there is no license conflict: a license grants permissions to other people, and a copyright holder is free to adapt and relicense their own work. Those Provenance lines are lineage — a breadcrumb back to where an idea started — not a license dependency. No third-party MIT-licensed text is incorporated anywhere in this library.

In plain terms:

  • ✅ Use these skills in your day job — at a for-profit company, with your team, in your agents. That's what they're for.
  • ✅ Adapt and remix them — share what you build under this same license, with credit.
  • ✅ Teach with them — workshops, brown bags, mentoring, sending the ladder down.
  • ❌ Don't sell them — no repackaging the skills themselves into a paid product, course, or service without expressed written permission.
  • 🤔 Not sure your use qualifies? Open an issue and ask. If you're using these in the spirit they were built — to get better at the craft and help others do the same — the answer is almost certainly yes.

The companion prompt library, product-manager-prompts, carries the same CC BY-NC-SA 4.0 license as of its v2.3.0, with its own plain-language permissions (stricter on commercial use) — see its LICENSING.md, which governs that repo.


Questions

Agent / MCP / Skill 创作

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  • 存在潜在风险命令,请谨慎安装。
  • 扫描发现:1 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/deanpeters/Product-Manager-Skills.git
  3. 将 "skills/user-story-mapping-workshop" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/deanpeters/Product-Manager-Skills.git
  3. 将 "skills/user-story-mapping-workshop" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/deanpeters/Product-Manager-Skills.git
  3. 将 "skills/user-story-mapping-workshop" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/deanpeters/Product-Manager-Skills.git
  3. 将 "skills/user-story-mapping-workshop" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/deanpeters/Product-Manager-Skills.git
  3. 将 "skills/user-story-mapping-workshop" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: user-story-mapping-workshop
argument-hint: "[system or workflow]"
description: Run a user story mapping workshop with adaptive questions and a structured map output. Use when you need backbone activities, tasks, and release slices for a workflow.
intent: >-
  Guide product managers through creating a user story map by asking adaptive questions about the system, users, workflow, and priorities—then generating a two-dimensional map with backbone (activities), user tasks, and release slices. Use this to move from flat backlogs to visual story maps that communicate the big picture, identify missing functionality, and enable meaningful release planning—avoiding "context-free mulch" where stories lose connection to the overall system narrative.
type: interactive

Purpose

Guide product managers through creating a user story map by asking adaptive questions about the system, users, workflow, and priorities—then generating a two-dimensional map with backbone (activities), user tasks, and release slices. Use this to move from flat backlogs to visual story maps that communicate the big picture, identify missing functionality, and enable meaningful release planning—avoiding "context-free mulch" where stories lose connection to the overall system narrative.

This is not a backlog generator—it's a visual communication framework that organizes work by user workflow (horizontal) and priority (vertical).

Input

Works best with: The system or workflow to map. Also useful: The primary users, workflow steps you already know, and what the map must decide (MVP scope, release plan).

Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.

Arriving empty-handed? That works too. The workshop opens by asking about the system and its users (Q1), then proceeds per the facilitation protocol.

Example invocation: Run a story mapping workshop for our vendor onboarding portal — output should give us a first release slice.

Key Concepts

What is a User Story Map?

A story map (Jeff Patton) organizes user stories in two dimensions:

Horizontal axis (left to right): Activities arranged in narrative/workflow order—the sequence you'd use explaining the system to someone

Vertical axis (top to bottom): Priority within each activity, with the most essential tasks at the top

Structure:

Backbone (Activities across top)
↓
User Tasks (descending vertically by priority)
↓
Details/Acceptance Criteria (at the bottom)

Key Principles

The Backbone: Essential activities form the system's structural core—these aren't prioritized against each other; they're the narrative flow.

Walking Skeleton: The highest-priority tasks across all activities form the minimal viable product—the smallest end-to-end functionality.

Ribs: Supporting tasks descend vertically under each activity, indicating priority through placement.

Left-to-Right, Top-to-Bottom Build Strategy: Build incrementally across all major features rather than completing one feature fully before starting another.

Why This Works

  • Visual communication: Story maps remain displayed as information radiators, maintaining focus on the big picture
  • Narrative structure: Organizes by user workflow, not technical architecture
  • Release planning: Horizontal slices reveal MVPs and incremental releases
  • Gap identification: Reveals missing functionality that flat backlogs obscure

Anti-Patterns (What This Is NOT)

  • Not a Gantt chart: Story maps show priority, not time estimates
  • Not technical architecture: Maps follow user workflow, not system layers (UI → API → DB)
  • Not a project plan: It's a discovery and communication tool, not a schedule

When to Use This

  • Starting a new product or major feature
  • Reframing an existing backlog (moving from flat list to visual map)
  • Aligning stakeholders on scope and priorities
  • Planning MVP or incremental releases

When NOT to Use This

  • Single-feature projects (story map overkill)
  • When backlog is already well-understood and prioritized
  • For technical refactoring work (no user workflow to map)

Facilitation Source of Truth

Use workshop-facilitation as the default interaction protocol for this skill.

It defines:

  • session heads-up + entry mode (Guided, Context dump, Best guess)
  • one-question turns with plain-language prompts
  • progress labels (for example, Context Qx/8 and Scoring Qx/5)
  • interruption handling and pause/resume behavior
  • numbered recommendations at decision points
  • quick-select numbered response options for regular questions (include Other (specify) when useful)

This file defines the domain-specific assessment content. If there is a conflict, follow this file's domain logic.

Application

This interactive skill asks up to 5 adaptive questions, offering 3-4 enumerated options at each step.

Use template.md for the facilitation agenda and outputs checklist.

Interaction pattern: Pair with skills/workshop-facilitation/SKILL.md when you want a one-step-at-a-time flow with numbered recommendations at decision points and quick-select options for regular questions. If the user asks for a single-shot output, skip the multi-turn facilitation.


Step 0: Gather Context (Before Questions)

Agent suggests:

Before we create your story map, let's gather context:

Product/Feature Context:

  • What system or feature are you mapping?
  • Product concept, PRD draft, or existing backlog
  • Website copy, positioning materials, or user flows
  • Existing user stories (if transitioning from flat backlog)

User Context:

  • Target personas or user segments
  • User research, interviews, or journey maps
  • Jobs-to-be-done or problem statements

You can paste this content directly, or describe the system briefly.


Question 1: Define Scope

Agent asks: "What are you mapping? (What's the scope?)"

Offer 4 enumerated options:

  1. Entire product — "Full end-to-end system from discovery to completion" (Common for new products or full rewrites)
  2. Major feature area — "Specific workflow within a larger product (e.g., 'onboarding,' 'checkout,' 'reporting')" (Common for feature launches)
  3. User journey — "Specific user goal or job-to-be-done (e.g., 'hire a contractor,' 'file taxes')" (Common for JTBD-driven mapping)
  4. Redesign/refactor — "Existing product/feature being rebuilt or simplified" (Common for legacy system modernization)

Or describe your specific scope.

User response: [Selection or custom]


Question 2: Identify Users/Personas

Agent asks: "Who are the primary users for this map? (List personas or user segments.)"

Offer 4 enumerated options:

  1. Single persona — "One primary user type (e.g., 'small business owner')" (Simplifies mapping, good for MVP)
  2. Multiple personas, shared workflow — "Different user types, same core activities (e.g., 'buyer' and 'seller' both browse listings)" (Common for marketplaces)
  3. Multiple personas, different workflows — "Different user types with distinct workflows (e.g., 'admin' vs. 'end user')" (Requires separate maps or swim lanes)
  4. Roles within organization — "Different job functions (e.g., 'PM,' 'designer,' 'engineer')" (Common for internal tools)

Or describe your users.

Adaptation: Use personas from context provided in Step 0 (proto-personas, JTBD, etc.)

User response: [Selection or custom]


Question 3: Generate Backbone (Activities)

Agent says: "Let's build the backbone—the narrative flow of activities users perform to accomplish their goal."

Agent generates 5-8 activities based on scope (Q1) and users (Q2), arranged left-to-right in workflow order.

Example (if Scope = "E-commerce checkout"):

Backbone Activities (left to right):

1. Browse Products
2. Add to Cart
3. Review Cart
4. Enter Shipping Info
5. Enter Payment Info
6. Confirm Order
7. Receive Confirmation

Agent asks: "Does this backbone capture the full workflow? Should we add, remove, or reorder activities?"

User response: [Approve, modify, or add custom activities]


Question 4: Generate User Tasks (Under Each Activity)

Agent says: "Now let's add user tasks under each activity, organized by priority (top = must-have, bottom = nice-to-have)."

Agent generates 3-5 user tasks per activity, arranged vertically by priority.

Example (for Activity 2: "Add to Cart"):

Add to Cart (Activity)
├─ Add single item to cart (must-have, walking skeleton)
├─ Adjust quantity (must-have)
├─ Add multiple items at once (should-have)
├─ Save item for later (nice-to-have)
└─ Add gift wrapping (nice-to-have)

Agent repeats for all backbone activities, showing the full map.

Agent asks: "Does this capture the key tasks? Are priorities correct (top = MVP, bottom = later releases)?"

User response: [Approve, modify, or add custom tasks]


Question 5: Identify Release Slices (Walking Skeleton + Increments)

Agent says: "Let's define release slices by drawing horizontal lines across the map."

Agent generates 3 release slices:

Release 1 (Walking Skeleton): Top-priority tasks across all activities—minimal end-to-end functionality

Release 2 (Next Increment): Second-priority tasks that enhance the core workflow

Release 3 (Polish/Expansion): Third-priority tasks (nice-to-haves, edge cases, optimizations)

Example:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Release 1 (Walking Skeleton):
- Browse products (basic list view)
- Add single item to cart
- Review cart (line items + total)
- Enter shipping info (name, address)
- Enter payment info (credit card only)
- Confirm order (basic confirmation)
- Receive email confirmation
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Release 2 (Enhanced):
- Product filtering/search
- Adjust quantity in cart
- Save for later
- Multiple shipping options
- Multiple payment methods
- Order tracking link
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Release 3 (Polish):
- Product recommendations
- Guest checkout
- Gift wrapping
- Promo codes
- Advanced payment options
- Post-purchase surveys
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Agent asks: "Do these release slices make sense? Should we adjust scope or priorities?"

User response: [Approve or modify]


Output: User Story Map

After completing the flow, the agent outputs:

# User Story Map: [Scope from Q1]

**Users:** [From Q2]
**Date:** [Today's date]

---

## Backbone (Activities)

[Activity 1] → [Activity 2] → [Activity 3] → [Activity 4] → [Activity 5] → [Activity 6]

---

## Full Story Map

### [Activity 1: Name]
- **[Task 1.1]** — Must-have (Release 1)
- **[Task 1.2]** — Should-have (Release 2)
- **[Task 1.3]** — Nice-to-have (Release 3)

### [Activity 2: Name]
- **[Task 2.1]** — Must-have (Release 1)
- **[Task 2.2]** — Should-have (Release 2)
- **[Task 2.3]** — Nice-to-have (Release 3)

[...repeat for all activities...]

---

## Release Slices

### Release 1: Walking Skeleton (MVP)
**Goal:** Minimal end-to-end functionality

**Stories:**
- [Task 1.1] — [Activity 1]
- [Task 2.1] — [Activity 2]
- [Task 3.1] — [Activity 3]
- [Task 4.1] — [Activity 4]
- [Task 5.1] — [Activity 5]
- [Task 6.1] — [Activity 6]

**Why this is the walking skeleton:** Delivers complete workflow with simplest version of each activity.

---

### Release 2: Enhanced Functionality
**Goal:** Improve core workflow with priority enhancements

**Stories:**
- [Task 1.2] — [Activity 1]
- [Task 2.2] — [Activity 2]
- [Task 3.2] — [Activity 3]
[...]

---

### Release 3: Polish & Expansion
**Goal:** Nice-to-haves, edge cases, optimizations

**Stories:**
- [Task 1.3] — [Activity 1]
- [Task 2.3] — [Activity 2]
[...]

---

## Next Steps

1. **Refine stories:** Use `skills/user-story/SKILL.md` to write detailed stories with acceptance criteria
2. **Estimate effort:** Score stories (story points, t-shirt sizes)
3. **Validate with stakeholders:** Walk through map left-to-right, confirm priorities
4. **Display map:** Print/post as information radiator for ongoing reference

---

**Ready to write user stories? Let me know if you'd like to refine the map or break down specific stories.**

Examples

Example 1: Good Story Map (E-commerce Checkout)

Q1 Response: "Major feature area — E-commerce checkout workflow"

Q2 Response: "Single persona — Online shopper"

Q3 - Backbone Generated:

Browse → Add to Cart → Review Cart → Enter Shipping → Enter Payment → Confirm → Receive Confirmation

Q4 - User Tasks Generated:

Browse Products
├─ View product list (R1)
├─ Search/filter (R2)
└─ Product recommendations (R3)

Add to Cart
├─ Add single item (R1)
├─ Adjust quantity (R2)
└─ Save for later (R3)

Review Cart
├─ View line items + total (R1)
├─ Apply promo code (R2)
└─ Estimate shipping cost (R3)

[...etc...]

Q5 - Release Slices:

  • Release 1: Walking skeleton—basic flow with no extras
  • Release 2: Search, quantity adjustment, promo codes
  • Release 3: Recommendations, guest checkout, gift options

Why this works:

  • Backbone follows user narrative (not technical layers)
  • Walking skeleton delivers end-to-end value
  • Incremental releases add sophistication without breaking core flow

Example 2: Bad Story Map (Technical Layers)

Backbone (WRONG):

UI Layer → API Layer → Database Layer → Deployment

Why this fails:

  • Not user-centric (users don't care about technical architecture)
  • Can't deliver end-to-end value incrementally
  • Waterfall thinking disguised as story mapping

Fix:

  • Map by user workflow: "Sign Up → Configure Settings → Invite Team → Start Project"
  • Each release delivers full workflow, not a single layer

Common Pitfalls

Pitfall 1: Flat Backlog in Disguise

Symptom: Story map is just a vertical list, no horizontal narrative

Consequence: Loses communication benefit; still "context-free mulch"

Fix: Force horizontal structure—activities across top, tasks descending vertically


Pitfall 2: Technical Architecture as Backbone

Symptom: Backbone = "Frontend → Backend → Database"

Consequence: Not user-centric, can't deliver value incrementally

Fix: Backbone should follow user workflow, not system layers


Pitfall 3: Feature-Complete Waterfall

Symptom: Release 1 = "Build Activity 1 fully," Release 2 = "Build Activity 2 fully"

Consequence: No end-to-end value until all activities complete

Fix: Walking skeleton = thin slice across ALL activities, incrementally enhanced


Pitfall 4: Too Much Detail Too Soon

Symptom: Trying to map every edge case and acceptance criterion upfront

Consequence: Analysis paralysis, lost big picture

Fix: Start with backbone + high-level tasks, refine later


Pitfall 5: Map Hidden in a Tool

Symptom: Story map lives in Jira/Miro, never displayed

Consequence: Loses value as information radiator

Fix: Print/post map physically; make it visible to team daily


References

Related Skills

  • skills/user-story-mapping/SKILL.md — Component skill with story mapping template
  • skills/user-story/SKILL.md — Converts map tasks into detailed user stories
  • skills/proto-persona/SKILL.md — Defines users for mapping
  • skills/jobs-to-be-done/SKILL.md — Informs backbone activities

External Frameworks

  • Jeff Patton, User Story Mapping (2014) — Origin of story mapping framework
  • Jeff Patton, "The New User Story Backlog is a Map" (blog) — Explains backbone concept

Dean's Work

  • [If Dean has story mapping resources, link here]

Provenance

  • Derived from skills/user-story/SKILL.md, skills/user-story-splitting/SKILL.md, and skills/user-story-mapping/SKILL.md.

Skill type: Interactive Suggested filename: user-story-mapping-workshop.md Suggested placement: /skills/interactive/ Dependencies: Uses skills/user-story-mapping/SKILL.md, skills/user-story/SKILL.md, skills/proto-persona/SKILL.md

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