nWave/skills/nw-bdd-requirements/SKILL.md
BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification
npx skillsauth add nwave-ai/nwave nw-bdd-requirementsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
"If you're not having conversations, you're not doing BDD." -- Liz Keogh
BDD discovers "what we don't know we don't know" through collaborative exploration with concrete examples, not tools or formats.
Three perspectives revealing each other's blindspots:
If unmappable in 25 min: too large (split) | too uncertain (spike) | team needs practice.
[Yellow] User Story: Transfer money between accounts
|
+-- [Blue] Rule: Amount must not exceed source balance
| +-- [Green] $500 balance, transfer $400 -> succeeds
| +-- [Green] $500 balance, transfer $500 -> succeeds (boundary)
| +-- [Green] $500 balance, transfer $501 -> fails
| +-- [Red] What happens if balance changes during transfer?
|
+-- [Blue] Rule: Both accounts belong to same customer
| +-- [Green] Transfer between checking and savings -> succeeds
| +-- [Green] Transfer to friend's account -> requires different flow
|
+-- [Blue] Rule: Transfer creates transaction records
+-- [Green] $100 transfer -> 2 transactions (debit + credit)
+-- [Red] What timezone for timestamps?
Use when: story entering sprint | multiple edge cases | team uncertain about scope | cross-functional clarification needed. Skip when: trivial well-understood story | pure technical refactoring with no behavior change | strong shared understanding already.
Template: "Is there any other context which, when this event happens, will produce a different outcome?"
Purpose: discover edge cases and alternative scenarios.
BA: "When a customer submits an order, the order is confirmed."
Tester: "Is there context that produces a different outcome?"
Developer: "What if the item is out of stock?"
BA: "Then the order goes to backorder status."
Tester: "What if payment is declined?"
BA: "Then the order is pending payment."
Result: three rules discovered from one statement.
Template: "Given this context, when this event happens, is there another outcome that's important?"
BA: "When admin deletes a user account, the account is deleted."
Tester: "Is there another important outcome?"
Developer: "Audit log entry for the deletion."
BA: "Email notification to the user."
Tester: "GDPR -- delete all personal data."
Developer: "What about resources owned by the user?"
Result: one simple statement revealed five important outcomes.
Template: "Can you give me a concrete example?"
Abstract rules hide assumptions. Concrete examples force decisions.
BA: "User can search products by category."
Developer: "Concrete example?"
BA: "User selects 'Electronics' category."
Tester: "What if Electronics has 10,000 products?"
BA: "We paginate. Show 20 per page."
Developer: "Default sort order?"
BA: "I need to ask stakeholders."
[Red card: "Default sort order for category browsing?"]
Scenario titles describe WHAT the user achieves, never HOW the system implements it.
| BAD (implementation) | GOOD (business outcome) | |---|---| | FileWatcher triggers TreeView refresh | Dashboard updates in real-time | | Observer writes state.json on event | Wave progress is captured when a phase completes | | Debounce prevents rapid writes | Rapid progress changes render smoothly | | Atomic write prevents partial reads | Dashboard always sees consistent data |
Rule: If the title contains a class name, method name, file name, or protocol detail, rewrite it as the user-observable outcome.
Example card: "Balance $500, transfer $300 -> succeeds"
Scenario: Successful transfer with sufficient balance
Given my checking account balance is $500.00
And my savings account balance is $100.00
When I transfer $300.00 from checking to savings
Then my checking balance is $200.00
And my savings balance is $400.00
And I receive a confirmation message
Apply Five Whys to connect stories to business value:
Story: "Add CSV export for reports"
Why? "Users can export data"
Why? "Analyze in Excel"
Why? "No pivot tables in our app"
Why? "Need to slice data by dimensions"
Why? "Identify trends for business decisions"
Real need: better analytical capabilities, not CSV export
Focus on behaviors contributing to business results. Challenge features lacking clear business value.
Traditional (implementation-focused) -- avoid:
BDD-style (outcome-focused) -- use:
Shift from "system does X" to "user achieves Y."
Assumption: "Users fill out the form correctly." Reverse: empty form | garbage data | 50,000 characters | 100 submissions in 10 seconds.
"Malicious Mike" tries SQL injection, URL manipulation, unauthorized access. "Careless Cathy" never reads instructions, clicks back mid-process, refreshes constantly.
For each rule, require examples from three categories:
Forcing diversity prevents echo chamber thinking.
Red cards are blockers. Never proceed to development with unresolved questions.
Resolution process:
Good red cards: "Character limit for product descriptions?" | "PDFs or only images?" | "What happens to orders if payment gateway is down?"
BDD hierarchy:
Business Capability (Epic)
+-- Feature (Theme)
+-- User Story
+-- Acceptance Criteria (Rules)
+-- Scenarios (Examples)
Each level includes: business value | user context | concrete examples | Given-When-Then scenarios | tracked questions with resolution status.
Same scenario, understood differently by each role:
Scenario: High-value customer receives priority support
Given I am a customer with "Platinum" membership
And I submit a support ticket with priority "urgent"
When the support team reviews new tickets
Then my ticket appears at the top of the queue
And I receive automated acknowledgment within 1 minute
Same scenario, multiple valid interpretations, zero translation loss.
Participants: 6-8 people (PO, BA as facilitator, 2-3 developers, 1-2 testers, optional SME).
Output: 2-3 stories mapped | 10-15 scenarios drafted | red cards assigned.
Decompose epics into stories by tracing the complete user workflow.
Workflow: [Discover] --> [Evaluate] --> [Purchase] --> [Receive]
| | | |
Row 1: Search by View details Add to cart Track order
keyword + price + checkout status
| | | |
Row 2: Filter by Compare Apply Delivery
category products coupon notifications
| |
Row 3: Save search Read reviews
Row 1 = MVP release. Row 2 = second release. Row 3 = future.
Story mapping complements Example Mapping: use story mapping to identify WHICH stories, then Example Mapping to explore EACH story in depth.
During Phase 1 (GATHER), verify all three requirement types. Stories covering only functional requirements produce incomplete handoffs.
For each story, ask: "Have we captured functional behavior, quality attributes (NFRs), and business constraints?" Missing any category is a completeness gap flagged during review (see review-dimensions skill, Dimension 2).
Formalize the ubiquitous language process. Domain language primacy (Core Principle 4) requires deliberate discovery.
Terms discovered here feed directly into BDD scenarios -- Given/When/Then uses the ubiquitous language, ensuring zero translation loss.
testing
Acceptance test creation methodology for the DISTILL wave. Domain knowledge for the acceptance designer agent: port-to-port principle, prior wave reading, wave-decision reconciliation, graceful degradation, and document back-propagation.
testing
Methodology for minimizing test count while maximizing behavioral coverage - behavior definition, anti-pattern catalog, consolidation patterns, stopping criterion, coverage-preserving validation
testing
Methodology for minimizing test count while maximizing behavioral coverage - behavior definition, anti-pattern catalog, consolidation patterns, stopping criterion, coverage-preserving validation
development
Design mandates for acceptance tests - hexagonal boundary, business language abstraction, user journey completeness, pure function extraction, 3 Pillars (domain language / chained narrative / production composition), and the layered ATD discipline (Universe-bound assertion, layer-dependent PBT mode, two-tier acceptance, example-based sad paths)