EVIDENCE TO DECISION

Capture research and analysis for dependable AI.

Capture how analysts find trustworthy evidence, test competing explanations and turn uncertain information into useful decisions.

Scope this workflow

From research and analysis activity to a dependable evaluation

A screen recording or final answer does not explain why experienced people make good research and analysis decisions. A useful capture preserves the approved evidence, decision points, exceptions and verified outcome without collecting unrelated activity.

Scope a representative episode

Choose a real research and analysis outcome with a clear start and finish. Define permitted systems, sensitive regions, expected artifacts and stopping conditions before capture so contributors know exactly what is in scope.

Label decisions and exceptions

The valuable evidence is not a list of clicks. Experts explain which facts changed their decision, which policy or standard applied, what uncertainty remained and when a person or a different role needed to take over.

Verify outcomes and reuse failures

Review confirms whether the intended business outcome actually occurred and whether controls were followed. Accepted episodes become demonstrations; corrected or failed cases become regression tests and critical-failure checks for later agent versions.

Calibrate the scoring standard

Reviewers score shared research and analysis cases before production and compare meaningful differences. Calibration clarifies ambiguous instructions, aligns severity thresholds and identifies where the rubric needs another example or a mandatory escalation rule.

Monitor the workflow after release

Evaluation is not finished when an agent passes once. Teams should sample completed work, track failure clusters and add corrected incidents to the regression set. A release gate is valuable only when it remains connected to real outcomes and changing operating conditions.

APPROVED CAPTURE SCOPE

What becomes structured evidence

  • Research question, scope and decision context
  • Sources, claims and evidence lineage
  • Analytical steps, assumptions and uncertainty
  • Final synthesis and decision impact

EXPERT JUDGMENT

Decisions the evaluation must preserve

  • Which sources are authoritative and current?
  • What claim is supported, contradicted or unresolved?
  • Does the output change the intended decision?

REUSABLE CUSTOMER ASSETS

What your team receives

  • Evidence and claim taxonomy
  • Source-grounded research cases
  • Accuracy, coverage and usefulness rubric
  • Hallucination and unsupported-claim regression set

RISK AND REVIEW

What stays explicitly controlled

  • Sensitive source material
  • Unsupported synthesis
  • False confidence under uncertainty

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