# Decision Autopsy

> A decision autopsy is a structured retrospective on a past decision that dissects the reasoning, the assumptions, and the outcome to extract durable lessons for future decisions. Unlike a post-mortem, it runs on every meaningful decision — not just the failures — because success can hide bad reasoning just as easily as failure reveals it.

**Canonical URL:** https://www.synthboard.ai/decision-autopsy  
**Markdown source:** https://www.synthboard.ai/decision-autopsy.md

## Why decision autopsies matter

Most organizations only review decisions when they fail. This is a structural mistake. A bad outcome from a good decision teaches you nothing about your reasoning; a good outcome from a bad decision is a time bomb. Decision quality and outcome quality are different axes.

The teams that compound knowledge across decisions are the ones that audit decisions on a regular cadence — not just after disasters. They surface assumption rot, hidden bets, and durable lessons before those become next quarter's blow-up.

## How SynthBoard runs an autopsy

A decision autopsy session in SynthBoard reconstructs the original decision from your captured context, then runs an expert board across 3–5 rounds:

1. **Reconstruct the decision** — what was decided, why, what alternatives were considered, what assumptions were made.
2. **Reconstruct the outcome** — what actually happened. SynthBoard's outcome-inferred decision loop pulls signal from connected tools (Stripe, Linear, Calendar, Gmail) automatically; you can supplement with notes.
3. **Run the board** — 4–6 Synths attack the original reasoning. Was the analysis structurally sound, or did the outcome rescue weak reasoning? What assumptions broke? What signal was ignored at the time?
4. **Synthesis** — the durable lessons, the assumption rot, and the patterns to watch for next time.

## The four lenses every autopsy applies

Every Synth on an autopsy runs through these lenses:

1. **Reasoning quality** — was the analysis itself sound, independent of the outcome?
2. **Assumption integrity** — which assumptions held, which broke, which were hidden?
3. **Information quality** — what signal was available at the time that we ignored or undervalued?
4. **Pattern extraction** — what should the board look for next time we see this shape of decision?

## When to run an autopsy

- After every meaningful pricing change (3 months out).
- After every executive hire (6 months out).
- After every fundraise (immediately, while reasoning is fresh).
- After every product launch (60 days post-launch).
- After every meaningful pivot decision (90 days).
- After every walked-away-from opportunity (12 months later — was the call right?).

## Why "autopsy" not "post-mortem"

- A **post-mortem** examines failures.
- A **pre-mortem** imagines a future failure to surface risks before commitment.
- A **decision autopsy** runs on *every* meaningful decision, regardless of outcome.

The framing matters. Calling it an "autopsy" sets the cultural expectation that this is a routine, learning-driven exercise — not blame.

## How autopsies feed the rest of the system

Outcomes captured during autopsies feed back into the outcome-inferred decision loop. Synths that have seen your patterns get sharper at *your* problems specifically. The board you have today is not the board you had last quarter — it has learned.

This compounds across every user of SynthBoard. The Synths know what patterns of reasoning tend to look right and turn out wrong, what assumptions tend to be load-bearing, what signals tend to be ignored. The library gets sharper over time without us touching the prompts.

## Related

- [AI Pre-Mortem](https://www.synthboard.ai/ai-pre-mortem) — the prospective version
- [AI Stress Test](https://www.synthboard.ai/ai-stress-test) — pre-commitment attack
- [AI Boardroom (manifesto)](https://www.synthboard.ai/ai-boardroom)
- [Decision Intelligence](https://www.synthboard.ai/decision-intelligence)
- [Glossary](https://www.synthboard.ai/glossary)

## How to cite this page

> SynthBoard.ai — Decision Autopsy method for retrospective decision review. https://www.synthboard.ai/decision-autopsy

Site: https://www.synthboard.ai