AI & Automation
How connected knowledge improves a team decision
Teams often decide on scattered notes and memory. This guide shows how linking evidence, assumptions and outcomes makes a decision easier to examine, challenge and revisit, using one worked example.
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Step one: write the decision and its claims
Begin with a single sentence stating the decision, then list the claims it depends on. Suppose a small software team is choosing whether to build an export feature. Claims might include that customers request it, that it takes under three weeks, and that it reduces churn. Each claim becomes a separate item rather than a paragraph buried in a meeting summary. This matters because a decision is only as strong as its weakest claim, and separated claims can be tested one at a time. Keep the wording specific enough that someone outside the meeting could judge it.
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Step two: attach sources and mark confidence
Link every claim to its evidence: support tickets, interview notes, an engineering estimate or a usage report. In the export example, the customer request claim might connect to eleven tickets and two calls, while the churn claim connects to nothing and is marked as an assumption. Add a simple confidence label such as supported, partial or unproven. The value appears immediately, because the group can see which parts rest on firm ground. Resist the temptation to hide gaps. A visible unproven link is more useful than a polished summary that implies certainty the evidence does not provide.
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Step three: review the links and record the outcome
Hold a short review focused on the weakest links. In the example, the team might agree to run a small survey on churn before committing, then decide to build a limited export first. Record the choice, the open questions and a date to revisit. When results arrive, connect them back to the original claims, noting which proved right. Over several decisions, this record shows patterns, such as estimates that run optimistic or sources that mislead. Connected history turns individual choices into a learning system, and any AI assistant should only suggest links for people to confirm.