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Glossary

Consensus Scoring
Measuring how far a room agrees.

In short

A structured method for quantifying the degree of agreement and disagreement across multiple AI agents after they independently analyze the same decision. Rather than forcing agents to a single answer, consensus scoring maps clusters of agreement, points of genuine conflict, and the confidence levels behind each stance.

Last reviewed

The full definition

High consensus with high confidence is a strong signal. Low consensus with high confidence indicates a genuine strategic fork that needs empirical validation.

SynthBoard does not reduce a board to one consensus score: its memo carries a confidence that drops with dissent and is never rated above 90, and keeps the dissent itself — who disagreed, why, and what would change the call.

How consensus scoring works

In SynthBoard

Where it shows up.
The product, not the theory.

In the memo.

A board ends in a memo: the call and how sure the board is, what would flip it, who disagreed and why, and one first step with a day.

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SynthBoard (synthboard.ai) is one place for your business, your life, and every hard call. Your Chief of Staff keeps what you tell her on file, and 24 named experts on different AI models take the calls — one expert for a consult, a board with opposed seats for the hard ones — and hand back a memo with the call, the dissent and the first move. How it works.

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