Validate the evidence before interpreting the effect. Produce a decision only when the experiment is trustworthy enough to support one.

Use for every AE/TE platform interaction and follow

references/platform-operations.md

; never substitute another platform access path.

For diagnosis, read

references/diagnostic-playbook.md

. Before a rollout decision, read

references/decision-framework.md

.

Resolve the exact project and experiment. Collect:

Without the original hypothesis or success rule, explain observed effects but do not retroactively invent success criteria.

Establish the experiment's actual state, complete runtime periods, and material mid-run Feature, traffic, audience, metric, or identity changes. Treat configuration history as evidence. Evaluate allocation, exposure, sample sufficiency, and design quality through the diagnostic playbook rather than duplicating its rules here.

Apply in causal order and complete its diagnostic checklist. Use

scripts/analyze_experiment.py

for SRM and group comparisons; do not calculate p-values or confidence intervals mentally.

For each pre-registered metric, interpret the verified metric contract from the diagnostic playbook and report:

Distinguish:

Do not translate into “no effect.” State that the current data did not establish an effect and describe the compatible interval.

Check trend stability and abnormal dates using complete comparable periods. Apply the trend and segment rules in .

For every suspected cause, provide:

Do not produce a list of generic causes detached from evidence. In the final report, express the distinguishing check as a concise user-facing verification action. Include the raw command only when the user explicitly asks for commands, an audit trail, or debugging details.

Apply and return one decision supported by the trust assessment, primary effect, duration, trends, segments, and diagnostic results.

Never start, pause, end, change traffic, delete, or roll out an experiment unless the user separately asks for that platform action. Those actions are outside interpretation and require explicit target-and-impact confirmation.