pm-agent

# PM Agent — AI Product Management Workflow Four agents covering the full PM lifecycle: Research → Define → Validate → Launch. Each phase uses proven frameworks and produces structured artifacts. Human checkpoints between phases. ## Phases | # | Phase | Agent | Framework | Output | |---|-------|-------|-----------|--------| | 1 | **Research** | Market & User Analyst | JTBD + Design Thinking | `DISCOVERY.md` | | 2 | **Define** | Product Strategist | Opportunity Solution Tree + Amazon PRD | `PRD.md` | | 3 | **Validate** | Experiment Designer | Design Sprint + Lean BML | `EXPERIMENT.md` | | 4 | **Launch** | Go-to-Market Lead | Dual-Track Agile + OKR | `GTM.md` | ## How to Use ### Full Workflow ``` "I want to build [product idea]" → run all 4 phases "Run pm-agent on [problem statement]" ``` Each phase spawns a focused subagent with the right prompt. The subagent asks questions, challenges assumptions, and produces a structured artifact. ### Partial Workflow - "Just do a competitor analysis" → run Research only - "Help me prioritize my backlog" → run Define (RICE/Kano section) - "Write a PRD for this feature" → run Define with the feature description - "Plan a design sprint" → run Validate only - "Create a GTM plan" → run Launch only ### Single Commands - `/research` — JTBD interview analysis, market sizing, competitive landscape - `/define` — Opportunity Solution Tree, PRD with Amazon Working Backwards - `/validate` — Experiment design, prototype testing plan, BML metrics - `/launch` — GTM strategy, OKRs, release checklist ## Phase Details ### Phase 1: Research (JTBD + Design Thinking) **Goal:** Understand the problem before proposing solutions. Spawn a subagent (Sonnet) with the Research prompt from `references/prompts.md`. It will: 1. **JTBD Analysis** — Extract the "job" users are hiring the product for - Push factors (pain with current solution) - Pull factors (attraction of new solution) - Trigger event (what moment starts the search) 2. **Competitive Landscape** — Map existing solutions and gaps 3. **Market Sizing** — TAM/SAM/SOM with reasoning 4. **User Personas** — 2-3 evidence-based personas (not fictional) 5. **Write `DISCOVERY.md`** — Consolidated research artifact **Key question:** "What job is the user hiring this product to do?" ### Phase 2: Define (Opp. Tree + Amazon PRD) **Goal:** Define what to build and why, before how. Spawn a subagent (Sonnet) with the Define prompt. It reads `DISCOVERY.md` and produces: 1. **Opportunity Solution Tree** — Visual hierarchy of outcome → opportunities → solutions 2. **Prioritization** — RICE scoring for top opportunities, Kano classification 3. **Amazon PRD** — Working Backwards: start with the press release, then FAQ 4. **User Stories** — INVEST-compliant stories with acceptance criteria 5. **Write `PRD.md`** — Complete product requirements document **Key rule:** No solution before opportunity. No feature before user story. ### Phase 3: Validate (Design Sprint + Lean) **Goal:** Test assumptions before building. Spawn a subagent (Sonnet) with the Validate prompt. It reads `PRD.md` and produces: 1. **Assumption Map** — Classify by risk (lethality × uncertainty) 2. **Experiment Design** — Lean BML cycle for riskiest assumptions 3. **Prototype Plan** — What to mock up and how to test with 5 users 4. **Success Metrics** — Quantitative pass/fail criteria per experiment 5. **Write `EXPERIMENT.md`** — Validation plan with test scripts **Key rule:** Test the riskiest assumption first, not the easiest. ### Phase 4: Launch (GTM + OKR) **Goal:** Ship and measure. Spawn a subagent (Haiku) with the Launch prompt. It reads `PRD.md` and `EXPERIMENT.md` and produces: 1. **GTM Strategy** — ICP, positioning, channel mix 2. **OKRs** — 3 measurable objectives with key results 3. **Release Checklist** — Pre-launch, launch day, post-launch tasks 4. **Feedback Loop** — How to collect and act on user signals 5. **Write `GTM.md`** — Launch plan with timelines **Key rule:** Launch is not the end. It's the beginning of the BML cycle. ## Model Selection | Phase | Model | Why | |-------|-------|-----| | Research | Sonnet | Needs reasoning for market analysis | | Define | Sonnet | Strategic decisions require depth | | Validate | Sonnet | Experiment design needs critical thinking | | Launch | Haiku | Mostly structured execution | ## Output Files All phase outputs go to the project root: - `DISCOVERY.md` — Research findings (JTBD, personas, competitive landscape) - `PRD.md` — Product requirements (Opp. Tree, Amazon PRD, user stories) - `EXPERIMENT.md` — Validation plan (assumptions, experiments, metrics) - `GTM.md` — Launch plan (GTM, OKRs, checklist) Each file is self-contained but references previous phases. You can run phases independently by providing the prerequisite context. ## Frameworks Reference For detailed framework guides (JTBD interview templates, RICE calculators, Amazon PRD templates), see `references/frameworks.md`. ## Human-in-the-Loop Each phase ends with a checkpoint: - **Approve** — proceed to next phase as-is - **Edit** — modify the artifact, then proceed - **Rerun** — provide feedback, regenerate the phase This mirrors real PM work: AI drafts, humans decide.