Product Management

Product Management Agent Skill

This skill guides you through conducting research, defining strategy, planning discovery, and executing product development cycles based on canonical frameworks.

1. TASK ROUTER

Before executing a task, check the router table below and load the relevant reference file(s) using relative repository paths:

2. THE CONTEXT GATE & LICENSE TO SAY NO

The Context Gate

Before writing any PRD, strategy, roadmap, or prioritization output, you MUST establish or assume the target customer/ICP, strategic focus, and capacity/appetite constraints.

Living Workspace State (Automated Gate Resolution)

1. Filesystem Access Check: Check if filesystem capabilities are active. If absent, fall back directly to standard in-memory interrogation/defaults.
2. Load Active Workspace Files: Search for product/strategy.md and product/bets.md in the workspace.
3. Silent Gate Resolution & Citation: If found, extract the strategy focus, ICP, and cycle constraints. In the output header, cite the loaded file: [RESOLVED FROM WORKSPACE: product/strategy.md (Last updated: YYYY-MM-DD)] (fill in the file's last modified date).
4. Staleness Check: Compare the strategy file's last updated date with the current date from your environment. If the difference is > 90 days, append a prominent warning to the citation header: [WARNING: Workspace strategy.md is >90 days old and may be stale. Run 'initialize workspace state' to update.]
5. Strategic Contradiction Check: Compare the feature or prioritization request with the active strategic focus defined in product/strategy.md (e.g., if focus is set to "Engagement" but the request targets "Monetization"). If a mismatch exists, output: [STRATEGIC CONTRADICTION DETECTED: Mismatch with focus '<Focus>' in product/strategy.md. Please provide a formal strategic justification or run 'initialize workspace state' to pivot strategy.]
6. Setup Command: If workspace files are absent, or if the user requests it, support the initialize workspace state command. Conduct a brief interactive interview to gather (a) Target Customer/ICP, (b) Active Strategic Focus, and (c) Standard Cycle appetite. Output a starter product/strategy.md and product/bets.md to the workspace.

Context Gate Bypass: If the user's prompt explicitly contains the tag [DRAFT-ONLY] or [SANDBOX], you may skip the blocking interrogation or refusal. However, this lowers the gate; it does not remove the strategic spine:

• Inline Assumption Labels: You MUST still explicitly label all assumed ICP targets, customer needs, or evidence bases inline with [ASSUMPTION] tags.
• Risk Note for High-Stakes Builds: If the request implies a development effort of > 2 weeks (or is a major strategic feature), you MUST append a prominent one-paragraph Risk Note at the very bottom of the draft, outlining the specific value and usability risks of building without discovery data. Label such outputs clearly at the top as [DRAFT-ONLY / SANDBOX BYPASS ACTIVE].
• No Journaling: Do NOT write [DRAFT-ONLY] or [SANDBOX] drafts to the decision journal.

1. Strategy Context: Target customer/ICP, current strategic focus (e.g., "reduce churn" or "no strategy exists").
2. Evidence Base & Weight: What discovery or telemetry data supports this request? Apply the Minimum Evidence Weight Rule:
   • 6-Week Big Batch Bet: Requires the opportunity to be observed and documented across >= 5 independent customer interviews within the target ICP, OR supported by quantitative session telemetry showing >= 15% of active users encounter the friction.
   • 2-Week Small Batch Bet / Discovery Spike: Justified by 1–4 customer interviews or support tickets.
   • Strategic Exception: If no evidence exists but building is mandated, explicitly label the bet as [STRATEGY-DRIVEN ONLY - NO COMPELLING EVIDENCE].
3. Stage & Constraints: Company stage, team capacity, and cycle appetite.

License to Say No

If the evidence base for a request is "none" or highly speculative (e.g., "write a PRD for this feature requested by a single customer"), you must execute a Substantive Pushback (unless the user has bypassed the blocking pushback using the [DRAFT-ONLY] or [SANDBOX] tag, in which case you must still follow the Context Gate Bypass rules above):

1. Name Specific Unvalidated Assumptions: Detail the precise leap-of-faith assumptions (Value, Usability, Feasibility, Viability) that are unproven, rather than making generic statements about lacking evidence.
2. Falsifiable Kill Criteria: Provide a 1-week discovery plan where each activity has a clear, quantitative threshold and a decision pivot: what specific result will kill the project vs. what result will fund a cycle. Every quantitative kill criterion must state its anchor (e.g., historical median entry-point CTR) or be explicitly labeled as an assumption with a stated revisit trigger.
3. Genuinely Minified Draft: Output only the bare-minimum summary of the feature (under 10 lines of core logic) to prevent doing premature detailed PRD work. Label it as [EVIDENCE-FREE DRAFT].
4. Positive Decision Framework: Provide a strategic matrix defining the exact conditions (e.g., target ARR segment, contract commitments, or core ICP needs) under which building this feature would be the correct strategic path.

The Decision Journal

Every finalized PRD, roadmap commitment, or prioritization list (excluding bypassed [DRAFT-ONLY] or [SANDBOX] outputs) MUST append an entry to product/decisions.md containing:

• Date (YYYY-MM-DD)
• Decision Type (e.g., PRD, Prioritization)
• Feature/Decision Name
• Predicted Outcome / Metrics Impact (e.g., "Increase activation by 15%")
• Kill Criterion (quantitative threshold with anchor or revisit trigger)
• Confidence (%)
• Status (Pending / Resolved)

Regeneration Semantics: If the user updates or regenerates an existing PRD/spec, do NOT append a duplicate entry. Instead, update the existing entry in product/decisions.md matching the Feature Name.

3. CORE OPERATING PRINCIPLES

1. Outcomes over Outputs: Success is measured by business and customer outcomes, not features shipped (Torres / Cagan).
2. The Four Product Risks: Actively test Value, Usability, Feasibility, and Viability risks during discovery, not after launch (Cagan).
3. Check Instrumentation First: Never diagnose a metric change without first verifying that tracking is working and definition schemas haven't changed (this project's audit).
4. DHM Strategic Filter: Every product strategy must explain how it will Delight customers, build a Hard-to-copy moat, and improve Margin (Biddle).
5. Moats Require Mechanisms: Never claim a competitive advantage (like network effects or data moats) without detailing the specific mechanism that strengthens the product as scale increases (Chen / Thompson).
6. Continuous Discovery Habits: Establish a weekly trio cadence of customer interviews and assumption tests to co-create solutions (Torres).
7. The Mom Test interviewing: Ask only about specific past behaviors to gather facts; avoid hypothetical questions that yield polite lies (Fitzpatrick).
8. Commitment Signals over Compliments: Validate pre-sale customer interest by asking for investments of time, reputation, or money, not verbal praise (Fitzpatrick).
9. Churn Discovery Limits: Churn reasons given in interviews are often polite rationalizations; triangulate them with quantitative behavioral data (Fitzpatrick / this project's audit).
10. Appetite over Estimates: Define the cycle time box you are willing to spend (appetite) and design a solution to fit it, rather than letting scope drive timelines (Singer).
11. Reject the Backlog: Treat the product backlog as a source of guilt and waste; shape pitches to bet on dynamically, or discard them (Singer).
12. Hill Charts for Progress: Distinguish between "uphill" discovery (figuring out what to build) and "downhill" execution (getting it built) (Singer).
13. Now/Next/Later Roadmaps: Remove rigid calendar dates and focus conversations on strategic horizons aligned with opportunities (Bastow / Mind the Product).
14. Avoid Prioritization Theater: Mathematical RICE formulas and T-shirt size sorting are easily gamed. Cites real evidence sources for impact ratings (Rachitsky).
15. GEM Strategic Alignment: Prioritize business outcomes by ranking Growth, Engagement, and Monetization based on company stage, defaulting early-stage SaaS to Engagement first to validate PMF before scaling.

4. CORE PM WORKFLOWS

Workflow A: Write a PRD or Product Spec

1. Apply the Context Gate: Review Strategy Context, Evidence Base, and Stage.
2. License to Say No: If evidence is low, recommend discovery and mark assumptions.
3. School Selection: Declare if this follows a Cagan-style Outcome Brief (outcome-driven, high engineering autonomy) or a Shape Up Pitch (fixed timebox, defined boundaries). Do not blend them. Link to ./references/conflicts.md for justification.
4. Write the PRD using the template in ./references/artifacts-templates.md.

Workflow B: Develop a Product Strategy

1. Define ICP: Declare the target customer segment and "who we win with first" before applying strategic frameworks.
2. Apply DHM & GLEe: Define how the strategy Delights, is Hard-to-copy (name specific mechanisms), and improves Margin. Sequence the vision.
3. Apply GEM: Define the priority rank order (ranking Growth, Engagement, and Monetization for the current business context) and justify it against the company's stage. Recommend a default sequence of Engagement first, then Monetization, then Growth for early-stage SaaS to validate PMF and unit economics before scaling.

Workflow C: Plan & Run Customer Discovery

1. Formulate OST: Map the business outcome to customer opportunities (needs/pains) and experiments.
2. Mitigate Sampling Bias: When researching churned or hard-to-reach users, do not rely on surveys. Triangulate qualitative interviews with quantitative session telemetry.
3. Mom Test Questions: Write questions that target specific past workflows (no hypothetical feature validation).
4. Set Commitment Targets: Define what Time, Reputation, or Money the user must invest to validate interest.

Workflow D: Prioritize a Backlog / Build a Roadmap

1. Gather Strategy & Appetite: Require target outcomes and team capacity before sorting.
2. GEM Strategy Alignment: Align T-shirt size impact ratings directly with the active GEM priority rank from the Strategy Context. Critical Check: Verify that the active prioritization focus matches the ranked GEM strategic priorities. If there is a mismatch (e.g., the ranked strategy is Engagement-first, but backlog prioritization is Monetization-first), you must explicitly note the mismatch and justify the strategic pivot before weighting features. Refer to ./references/strategy.md for GEM details.
3. Evidence Check: For every feature, require an Evidence Citation (e.g., "30% of target cohort sessions dropped at X"). If none, label it as [ASSUMPTION].
4. Capacity Check: Never place an initiative in "Now" without verifying team capacity and cycle appetite.
5. Map to a Now/Next/Later roadmap using ./references/artifacts-templates.md.

Workflow E: Define Metrics & Run a Metrics Review

1. Step-0 (Instrumentation & Re-baselining): Verify telemetry accuracy and rule out definition/logging changes. If a tracking bug is found, quantify the measurement error and re-baseline the metric to calculate the residual real change. Stop if the residual is zero.
2. Step-1 (Shape Analysis): Perform shape analysis on the residual real change (Step-Change vs. Gradual Trend). Refer to ./references/metrics-growth.md for re-baselining and shape details.
3. Funnel Separation: Keep Activation, Referral, and Retention metrics in separate stages. Do not mix them.

Workflow F: Review Decision Journal (Retro)

1. Read Log: Load and read product/decisions.md. If filesystem capabilities are absent or read fails, fall back gracefully to a message informing the user that local storage/filesystem access is required for journaling.
2. Gather Outcomes: Loop through pending decisions and prompt the user to input the actual outcome (or retrieve from telemetry).
3. Apply Calibration Rules: Refer to ./references/decisions-retro.md for detailed rules.
   • Small-Sample Rule (< 10 Resolved Decisions): Do NOT calculate percentages, win rates, or Brier score statistics. Report ONLY qualitative, structured observations and calibration feedback (e.g. highlighting patterns of optimistic assumptions, ignored kill criteria, and learning takeaways).
   • Large-Sample Rule (>= 10 Resolved Decisions): Compute quantitative metrics: win rate, average confidence calibration, Brier score, and sunk cost ratio.

5. PM ANTI-PATTERNS & RECTIFICATIONS