# Decision-Outcome Feedback Loop

> The practice of closing the loop between a decision and what actually happened, so advice can be scored rather than merely admired.

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## Definition

The practice of closing the loop between a decision and what actually happened, so advice can be scored rather than merely admired. Most decision tooling stops at the recommendation, which means no one ever learns whether the reasoning was sound or the advisor was lucky. A working feedback loop captures the outcome — self-reported, or read from the systems where the result actually lands once they are connected — attributes it back to the decision and the reasoning that produced it, and lets advisor calibration improve from evidence. The loop is also the only honest defense against confident-sounding advice: over enough decisions, a track record replaces a tone of voice.

## Related

- [Decision Autopsy](https://www.synthboard.ai/decision-autopsy)


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## About SynthBoard

SynthBoard is a standing board of AI experts that argue with each other on purpose, remember every call you make, and learn from how those calls played out. Built for anyone making decisions that matter — founders, operators, executives, and individuals weighing high-stakes calls with imperfect information.

Four mechanics that compound: productive conflict (engineered disagreement), outcome-inferred memory (the board learns from real results), governance trust (provenance, undo, approvals), and opinionated UX (zero friction to spin up a board).

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