user-story-mapping-workshop

deanpeters/product-manager-skills · updated Apr 8, 2026

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$npx skills add https://github.com/deanpeters/product-manager-skills --skill user-story-mapping-workshop
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summary

Interactive workshop that transforms flat backlogs into visual story maps organized by user workflow and release priority.

  • Guides product managers through five adaptive questions to define scope, identify users, generate backbone activities, prioritize user tasks, and plan release slices
  • Produces a two-dimensional map with horizontal narrative flow (activities left-to-right) and vertical priority (must-have to nice-to-have top-to-bottom)
  • Identifies the walking skeleton—minimal end-to
skill.md

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).

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):

how to use user-story-mapping-workshop

How to use user-story-mapping-workshop on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add user-story-mapping-workshop
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/deanpeters/product-manager-skills --skill user-story-mapping-workshop

The skills CLI fetches user-story-mapping-workshop from GitHub repository deanpeters/product-manager-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/user-story-mapping-workshop

Reload or restart Cursor to activate user-story-mapping-workshop. Access the skill through slash commands (e.g., /user-story-mapping-workshop) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.550 reviews
  • Daniel Nasser· Dec 20, 2024

    We added user-story-mapping-workshop from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Chaitanya Patil· Dec 12, 2024

    Registry listing for user-story-mapping-workshop matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Nikhil Jackson· Dec 8, 2024

    user-story-mapping-workshop is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Daniel Farah· Dec 4, 2024

    Solid pick for teams standardizing on skills: user-story-mapping-workshop is focused, and the summary matches what you get after install.

  • Min Srinivasan· Dec 4, 2024

    Keeps context tight: user-story-mapping-workshop is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Alexander Thomas· Nov 23, 2024

    user-story-mapping-workshop has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Chen Martin· Nov 23, 2024

    I recommend user-story-mapping-workshop for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Nikhil Torres· Nov 11, 2024

    Useful defaults in user-story-mapping-workshop — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Harper Jackson· Nov 7, 2024

    user-story-mapping-workshop fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Piyush G· Nov 3, 2024

    user-story-mapping-workshop reduced setup friction for our internal harness; good balance of opinion and flexibility.

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