Pablo Hernandez Leal
EvidenceDecisionsCommunication

Decision-Complete

Can I construct a defensible path from the evidence to the decision?

Use this when the analysis or experiment looks finished, but its practical implication is difficult to state.

You’ll be able to connect a finding to a practical choice and name the missing reasoning if that connection is incomplete.

The idea

Difficulty synthesizing a result may expose missing evidence or reasoning rather than poor writing. Applied work is not complete merely because an experiment produced an answer.

Worked example · illustrative

A shorter queue is not yet a staffing decision

Situation. A library tests adding a staff member to the returns desk. Queues become shorter. The trial report describes the improvement accurately, and the manager must decide whether to make the change permanent.

The tempting conclusion. The trial worked, so keep the extra person at returns.

What changes the view. The person was moved from helping visitors find books. The report does not establish whether those visitors now wait longer or whether the busiest return periods can be covered differently. The queue result answers the trial’s narrow question but leaves a gap between that finding and the staffing decision.

What this supports. Summarize what improved, the trade-off still unknown, and the evidence needed to compare staffing options. A defensible recommendation could be limited peak-hour coverage or a further trial. Completing the analysis means making that reasoning explicit, not forcing a permanent change.

Useful when

Writing recommendationsReviewing a trialPreparing an executive summaryDeciding whether findings justify action

Watch for

Sometimes the defensible conclusion really is “we don't know yet.” Don't force a recommendation.

Where this came from

Academic research → applied R&D

Related tools

What Did the Metric Throw Away?ComplementsWhat Is Worth Learning?ComplementsConnect Work to ConsequencesComplements

Read the reasoning

When Is an Experiment Actually Done in Applied Research?Primary post · Sep 18, 2026Lessons From Six Years of Applied Machine Learning in IndustrySupporting post · Jun 4, 2024The Executive Summary Is Not a SummarySupporting post · Oct 9, 2026