Work backward from assumed failure to identify hidden risks and prioritize mitigation before launch.Documentation Index
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Tools Required
This skill runs using CORE memory only. No integrations required.Step 1: Preparation and Analysis
Review the product plan thoroughly:- Study the PRD or feature specification in detail
- Understand the target market and key success metrics
- Document critical assumptions underpinning the product
- Research competitive context and similar feature launches
- Identify any areas of uncertainty or knowledge gaps
Step 2: Risk Identification
Run a structured brainstorming session. Use this framing: “Imagine the product launches in two weeks. It fails. What went wrong? What did we miss? Where were we overconfident?” Encourage the team to think broadly across:- Product risk: Does it actually solve the problem? Do users want it?
- Technical risk: Does the implementation work as designed? Are there hidden complexity or performance issues?
- Market risk: Is the go-to-market timing right? Are we overestimating demand?
- Organizational risk: Do we have the team capacity and skills to execute?
- Operational risk: Are there process gaps or communication breakdowns?
Step 3: Risk Categorization
Organize identified risks into three categories: Tigers — Legitimate, evidence-based problems that likely carry real consequences. These have supporting data or clear causal logic. Action required. Paper Tigers — Valid-sounding concerns that are unlikely to occur or have minimal impact. These feel risky but lack evidence or have low probability. Monitor but deprioritize. Elephants — Uncertain problems the team isn’t discussing adequately. These are unspoken concerns or blindspots. Investigate further.Step 4: Urgency Classification for Tigers
For each Tiger, classify by launch readiness:- Launch-Blocking: Must be solved before launch. Failure is unacceptable.
- Fast-Follow: Can launch but should solve within 30 days. Acceptable to ship with this risk.
- Track: Monitor post-launch. Escalate only if it becomes an actual issue.
Step 5: Action Planning
For each launch-blocking risk, develop:- Mitigation strategy: What will you do to reduce this risk?
- Owner: Who is accountable for this risk?
- Decision date: When must you make a launch/kill decision?
Step 6: Documentation
Produce structured output separating each risk category with specific action plans for critical issues.Output Format
Pre-Mortem Analysis Product Overview [One-sentence description of what’s launching] Critical Assumptions
- [Assumption 1: Expected to be true]
- [Assumption 2: Expected to be true]
- [Assumption 3: Expected to be true]
- Impact if true: [Consequence of this failure]
- Mitigation strategy: [What you’ll do to address this]
- Owner: [Responsible team member]
- Decision date: [When to resolve]
- Validation/testing plan: [How you’ll confirm risk is mitigated]
- Impact if true: [Consequence]
- Acceptable to ship: [Why this won’t block launch]
- Post-launch plan: [30-day mitigation approach]
- Why we’re monitoring: [Low probability, acceptable risk]
- Trigger to escalate: [What signal indicates this became real]
- Why it’s low priority: [Evidence or logic that deprioritizes]
- Decision: [Park this / Minimal investment / Quick test]
- Why it matters: [Potential impact if true]
- Investigation approach: [How to get more information]
- Go/No-Go: [Yes, launch with mitigations / Delay for risk reduction / No, kill the initiative]
- Key success metrics: [What we’ll monitor post-launch]
- Escalation triggers: [Conditions that would require post-launch course correction]
Edge Cases
- Risk inflation: Teams sometimes catastrophize. Push for evidence and probability estimates, not just “what if” scenarios.
- False confidence: Experts can be overconfident in areas of past success. Explicitly solicit skeptics and disagreement.
- Organizational risk avoidance: Some organizations kill too many initiatives based on theoretical risks. Balance thoroughness with shipping velocity.
- Competing priorities: Multiple launch-blocking risks may require sequencing. Document which risks absolutely must be resolved first.
- Post-launch reality diverges: Predicted risks may not materialize, or unforeseen issues emerge. Use actual market feedback to iterate on launch-day assumptions.
