skills/user-stories/SKILL.md

name, description

name	description
user-stories	Decompose problems into thin, deliverable user stories using Elephant Carpaccio and INVEST criteria. Use after problem analysis, before planning and implementation.

User Stories

Core Philosophy

A user story is a placeholder for a conversation, not a specification. It captures who needs something, what they need, and why — in the smallest unit that still delivers end-to-end value.

The goal is thin slices — the Elephant Carpaccio technique. An elephant is too big to eat at once; slice it as thin as possible (carpaccio) so each slice is still valuable, testable, and deliverable.

When to Use

• You have a problem analysis and need to break it into implementable units
• A feature is too large to estimate or implement
• You need to communicate scope and prioritize with a stakeholder
• You need to discover the minimum viable version of a feature

Input required: A problem analysis (load problem-analysis skill first) or clear requirements.

INVEST Criteria

Every user story must be:

Criterion	Meaning
Independent	Can be developed without requiring another story to be complete first
Negotiable	Details can be discussed and refined
Valuable	Delivers clear value to an end user (not just infrastructure)
Estimable	Clear enough scope to understand complexity
Small	Can be completed in a single sprint (1–2 weeks)
Testable	Has clear, specific acceptance criteria

Story Format

**Story Title:** [Descriptive name]

**As a** [user type / persona]
**I want** [the capability or feature]
**So that** [the business value or outcome]

**Acceptance Criteria:**
- Given [starting context]
  When [action taken]
  Then [observable outcome]
- Given [another context]
  When [action]
  Then [outcome]

**Definition of Done:**
- [User-facing quality requirement]
- [Business completion criterion]
- [Performance/security requirement if applicable]

Elephant Carpaccio: Slicing Technique

The most common mistake is making stories too large. Use these slicing patterns to cut large stories thin.

Slicing Pattern 1: By Data Variation

If a feature works differently for different data, make each variation its own story.

Large story: "Users can search invoices"

Thin slices:
1. "Users can search invoices by exact invoice number"
2. "Users can search invoices by customer name (partial match)"
3. "Users can search invoices by date range"
4. "Users can combine multiple search criteria"

Slicing Pattern 2: By User Scenario

Different user journeys are separate stories.

Large story: "Users can manage their account"

Thin slices:
1. "New users can register with email and password"
2. "Registered users can log in"
3. "Logged-in users can update their display name"
4. "Users can reset their password via email"

Slicing Pattern 3: By Error Condition

Happy path first, then error handling as a separate story.

Story 1: "Users can upload a PDF invoice (happy path)"
Story 2: "Users see a clear error when uploading non-PDF files"
Story 3: "Users see a clear error when uploading files > 10MB"

Slicing Pattern 4: By Performance

Basic version first, then performance improvement as a separate story.

Story 1: "Users can export invoice reports (any performance)"
Story 2: "Invoice export completes in under 5 seconds for reports up to 1000 items"

Slicing Pattern 5: By Rules/Workflow

Each business rule is a candidate for its own story.

Large story: "The system applies discounts to orders"

Thin slices:
1. "Premium customers receive a 10% discount automatically"
2. "Orders over 1000 SEK receive free shipping"
3. "Discount codes can be applied at checkout"

Prioritization Framework

Order stories by:

1. Risk reduction first — stories that test unknown territory early
2. User value — which story delivers the most value if we stopped here?
3. Learning — stories that reveal information needed for later stories
4. Dependencies — stories that others depend on come first

Risk reduction: "Integrate with Bankgirot API (spike)"
    → We don't know if this is feasible; find out first

User value: "Users can view their invoice list"
    → Most basic valuable state; everything else builds on this

Foundation: "Authentication: users can log in"
    → Many other stories depend on this

Story Decomposition Example

Problem: A financial automation tool needs to process invoices for payment.

Too large: "Process invoices for payment"

Decomposed with Elephant Carpaccio:

1. Parse PDF invoice, extract total amount

   • Given a valid Swedish PDF invoice
   • When I upload it to the system
   • Then the system displays the extracted amount and recipient
   • AC: Displays IBAN, amount, and due date for 10 sample invoices

2. Queue a payment for approval

   • Given a parsed invoice
   • When I click "Approve for payment"
   • Then the payment is queued with status "pending"
   • AC: Payment appears in pending list, can be viewed

3. Execute a queued payment via Bankgirot

   • Given a payment in "pending" status
   • When the batch window runs
   • Then an ISO 20022 payment instruction is submitted
   • AC: Submission confirmed, status changes to "submitted"

4. View payment status after submission

   • As a user I can see whether a submitted payment succeeded or failed
   • AC: Status reflects Bankgirot confirmation/rejection

5. Handle rejected payments

   • Given a submitted payment that is rejected by Bankgirot
   • When the rejection is received
   • Then the user sees a clear error message with the rejection reason
   • AC: Rejection reason from Bankgirot is displayed, payment status is "rejected"

Each slice is independently valuable and testable.

Output Document

The output of this skill is a user-stories.md file:

# User Stories: [Feature Name]

## Personas
- **[Persona 1]**: [Who they are and what they care about]
- **[Persona 2]**: ...

## Stories (Prioritized)

### Phase 1: Foundation

#### Story 1: [Title]
As a [persona]...

#### Story 2: [Title]
...

### Phase 2: Core Features

#### Story 3: [Title]
...

## Decomposition Rationale
[Why stories were sliced this way; what dependencies exist]

## Stories Deferred to v2
- [Story A]: [Reason]

Common Mistakes

Mistake	Fix
Technical tasks disguised as stories ("Set up database")	Reframe as user value ("Users can create an account")
"And" in the title	Split into two stories
No acceptance criteria	Every story must have testable criteria
Stories depending on each other at the same priority level	Reorder so foundational stories come first
Implementation details in acceptance criteria ("use PostgreSQL")	Keep criteria in user/business terms

Mathias Context

As a digital PM:

• Stories should capture business value, not technical tasks
• Stories are the bridge between problem analysis and technical implementation
• When the business says "build feature X", decompose it into stories that can be delivered incrementally
• A story with 10 acceptance criteria is not one story — it's many. Split it.
• The goal is to find the thinnest slice that's still worth shipping

Transition to Next Steps

After stories are written:

1. Load spec-driven-dev skill to write a technical specification
2. Load planning skill to convert stories into an implementation plan
3. Load atdd skill to implement stories with acceptance test-driven development

Cross-References

• Requires: problem-analysis skill output
• Leads to: planning and atdd skills
• INVEST criteria origin: Bill Wake
• Elephant Carpaccio: Alistair Cockburn