--- name: product-discovery description: Methodology for discovering and specifying new software products. Use when starting greenfield projects, exploring new ideas, or defining MVP scope. --- # Product Discovery Skill Transform vague ideas into actionable specifications through structured questioning. ## Core Methodology ### Questioning Frameworks **Five Whys** - Reach root problems: 1. "Why is this a problem?" → Surface answer 2. "Why does that matter?" → Deeper impact 3. Continue until you reach the core motivation **MECE** (Mutually Exclusive, Collectively Exhaustive): - Cover all aspects without overlap - Users, features, constraints, success criteria **Socratic Probing**: - Never accept surface-level answers - "Can you give me a specific example?" - "What would happen if...?" ## Discovery Phases ### Phase 1: Vision **Key Questions:** - "What moment made you think 'someone should build this'?" - "If this existed perfectly, walk me through using it tomorrow" - "Fast forward one year - what changed in the world?" ### Phase 2: Core Problem **Key Questions:** - "If you could only solve ONE aspect, which unlocks the most value?" - "What's the smallest thing that would make one person genuinely grateful?" - "What part do you understand best? What's still fuzzy?" **Scope Control:** - "If you had budget for only 3 features, which would they be?" - "Now pick just ONE to prove the concept" ### Phase 3: Users **Key Questions:** - "Think of one specific person who needs this. What's their name? Their story?" - "What do they do immediately before/after using your software?" - "Which user type would be easiest to satisfy? Hardest?" ### Phase 4: Technical **Key Questions:** - "What could you hardcode for MVP that becomes dynamic later?" - "Which technical decisions can wait until concept is validated?" - "What existing tools could you leverage instead of building?" ### Phase 5: Validation **Key Questions:** - "How would you know, objectively, that MVP is working?" - "What number would make you confident to continue? What would make you pivot?" - "What feedback would change your direction most dramatically?" ### Phase 6: Scoping **Effort-Based Framing (NOT time-based):** | Scope Level | Definition | |-------------|------------| | **Core MVP** | Solves ONE problem for ONE user type | | **Expanded MVP** | Multiple features, still single user focus | | **Full Vision** | Complete feature set, all user types | ## Facilitation Techniques ### When They're Stuck - Offer contrasts: "Would you rather have X or Y? Why?" - Provide examples: "Some approach this as a marketplace, others as a tool..." - Break it down: "Let's start with just the first step" ### When They're Overcomplicating - "That's a powerful feature. For MVP, what's the simplest version?" - "Let's put that in the 'full vision' bucket for now" - "On a scale of 1-10, how much value vs how much effort?" ### When They're Too Vague - "Walk me through the exact steps someone would take" - "What would the screen look like at this moment?" - "When you say 'fast', what specific measurement?" ## Document Templates ### SPEC.md (What to Build) ```markdown # [Project Name] Specification ## Problem Statement [Core problem, why it matters, who has it] ## Target Users - **Primary:** [Specific user type and needs] - **Secondary:** [If applicable] ## MVP Scope (Core) ### Must Have 1. [Essential capability 1] 2. [Essential capability 2] ### Explicitly Excluded - [Deferral 1 with reasoning] ## Success Criteria - [ ] [Measurable outcome 1] - [ ] [User can accomplish X] ## Full Vision [Complete feature list for later phases] ## Scenarios ### Scenario 1: [Name] - Given: [Context] - When: [Action] - Then: [Outcome] ``` ### DESIGN.md (How to Build It) ```markdown # [Project Name] Technical Design ## Architecture Overview [High-level system structure] ## Technology Choices | Layer | Choice | Reasoning | |-------|--------|-----------| | Frontend | [Tech] | [Why] | | Backend | [Tech] | [Why] | | Database | [Tech] | [Why] | ## Data Models ### [Entity] - field: type (constraints) ## Key Decisions ### [Decision] - **Choice:** [What was decided] - **Reasoning:** [Why] - **Trade-offs:** [What we accept] ## Technical Risks | Risk | Mitigation | |------|------------| | [Risk] | [How we handle it] | ``` ### PLAN.md (Implementation Roadmap) ```markdown # [Project Name] Implementation Plan ## MVP Scope [Reference to SPEC.md MVP section] ## Implementation Order ### Phase 1: Foundation - [ ] [Task 1] - [ ] [Task 2] ### Phase 2: Core Features - [ ] [Task 3] - [ ] [Task 4] ### Phase 3: Polish & Launch - [ ] [Task 5] - [ ] Launch preparation ## Go/No-Go Criteria ### Continue if: - [ ] [Success metric achieved] ### Pivot if: - [ ] [Failure condition] ## Post-MVP Phases ### Phase 2 (After validation) - [Feature additions] ``` ## Specification Principles - **Behaviors over implementation** - What the system does, not how - **Examples over abstractions** - Concrete scenarios that illustrate - **Constraints as features** - Limitations that shape the solution - **Edge cases as teachers** - Unusual situations that clarify boundaries These specs become context for AI implementation - clarity here multiplies effectiveness later. --- ## Version - v1.0.0 (2025-12-05): Initial documented version