Which experiment would change the next decision? An evaluation brief for intelligence analysis.
Which experiment would change the next decision?
A good evaluation starts with a consequential uncertainty. The goal is to produce evidence that informs an actual choice, not simply to demonstrate that a feature can run. An analysis team is exploring an assistant that organizes source material and drafts an unclassified research summary. Statements can have different levels of corroboration, and the generated narrative can make a weakly supported inference sound settled.
A practical starting point
For this evaluation, name the decision before writing the test and identify the result that would cause the team to stop. State the hypothesis, success criteria, baseline, and operating conditions before the test. Choose representative material and include a plausible failure case. Identify the resources and dependencies that influence whether the result could transfer to a broader setting. The immediate concern is whether a plausible inference loses its uncertainty as it moves from source notes into a polished narrative. The review should make that possibility testable, rather than relying on the apparent fluency or completeness of the output.
Examine the boundary
Provide two conflicting accounts and one apparently authoritative but unsupported assertion. Inspect whether the summary preserves the disagreement. Examine the result against the original question. A successful demonstration may depend on careful input selection, hidden manual work, or conditions that will not hold in operation. Document those dependencies and decide what needs a further test. Bring the analytic lead and the authority responsible for release of the finished product into the review when the finding affects an operational or institutional decision. Their role is to connect the evidence with the authority needed to act on it.
Keep the evidence connected
Use a claim-by-claim record of cited material, competing explanations, confidence, and the analyst's disposition. Record the hypothesis, baseline, test material, configuration, observed behavior, deviations, and the decision the result supports. A later reviewer should be able to see the original question, the observations that mattered, and the point at which the team moved from investigation to a decision. Preserve contradictions and unresolved questions alongside the outcome.
From evaluation to use
Begin with source organization and draft preparation. Retain human responsibility for analytic judgments and release decisions, and keep the supporting record available for challenge. A bounded evaluation supports a bounded conclusion. It does not establish performance across every user, environment, data source, or future system version. The practical next step is a bounded review with an identified owner, a stated question, and an evidence package that supports the decision.
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