Your AI-generated Post-Mortem Report includes:
Use these benchmarks to evaluate how your decision-making risk compares to industry averages.
| Decision Type | Typical Overconfidence Bias | Ignored Early Signal | Common Second-Order Effect | Preventive Practice |
| Market Pivot | “We can easily re-target enterprise” | Lack of inbound demand | Core business erosion | Test niche first; protect existing revenue streams |
| Product Expansion | “We just need feature parity” | Overlooked support load | Team burnout | Validate user demand before building |
| Funding Round | “Capital will solve growth” | Declining unit economics | Overspending, dilution | Fix CAC before fundraising |
| Pricing Strategy | “Higher price = higher value” | Drop in conversions | Brand confusion | A/B test elasticity |
| Rapid Hiring | “We’ll scale culture later” | Onboarding lag | Quality drop, attrition | Define hiring scorecards early |
| Acquisition | “Synergy will be instant” | Integration friction | Process chaos | Align tech & culture before signing |
Note: These benchmarks highlight how ambition often blinds strategy. Use them to recalibrate optimism with operational reality.
Example Output
Decision: “Pivot our B2C SaaS product to target enterprise customers.”
Failure Mode:
A mismatch between product-market fit, organisational DNA, and sales motion. We forced a lightweight consumer product into a complex enterprise world, resulting in poor adoption and wasted resources.
Second-Order Effects:
Neglected B2C customers churned, top talent left, morale plummeted, and the company ultimately lost both markets.
Underestimated Stakeholders:
Ignored existing loyal customers and internal product experts; overestimated the ease of convincing enterprise committees.
Ignored Signals:
Dismissed team warnings, long enterprise sales cycles, and lack of inbound interest were clear signs that the pivot was premature.
Misguided Optimisation:
Chased prestige metrics like high ARR and “enterprise credibility” instead of deepening product value for paying customers.

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It’s an AI-powered simulation that lets you visualize a future failure and analyze its root causes before taking action.
Traditional risk reviews predict probabilities; this tool imagines the emotional and strategic consequences of failure.
Founders, executives, and strategists making high-impact business decisions.
In approximately 2–3 minutes, simply enter your decision, and the AI will generate the full reflection.
Detailed post-mortem covering failure modes, second-order effects, ignored signals, and corrective actions.
Yes, run group pre-mortems to uncover diverse blind spots before committing to a strategy.
Yes, it suggests what could have been done differently to turn failure into foresight.