[experiments] Daily Experiment Report — 2026-09-20 #62154
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🧪 Daily Experiment Report — 2026-09-20
51 experiments analysed across 48 workflows in
github/gh-aw. 24 have reachedREADYsample thresholds, 27 are stillCOLLECTING. NoPROMOTEorREJECTdecisions today — every core decision isEXTEND(37) orINCONCLUSIVE(14), driven almost entirely by missing per-run outcome-metric wiring rather than by weak effects.⚡ Quick Stats
PROMOTEcore decision)issue:field — Step 8/9 notifications and labels not applicable this run)📈 Why nothing reached PROMOTE/REJECT today
insufficient_observationsunsupported_multi_variantinsufficient_samplesmin_samplesfor at least one variantguardrail_unsupported🟢 READY experiments (24) — all
EXTEND/INCONCLUSIVE, no usable outcome evidence yet📋 View all 24 READY experiments
Notable evidence signals (descriptive, non-authoritative — core decision unchanged):
dailyagentrxtraceoptimizer/sub_agent_strategy: balanced (χ2=0.013, p=0.876),single_agentn=39 vssub_agentsn=40 — ready for a real decision as soon asissue_evidence_completenessobservations are wired in.awfailureinvestigator/tone_variant: 3-way balanced split (χ2=0.087, p=0.947, n=439) — biggest READY experiment by volume, but blocked purely by the 2-variant limitation.cicoach,dailyfact,dailysecurityredteam: guardrail metrics (run_success_rate,discussion_reaction_count,false_positive_rate) have no supported native observation source yet — flagged as a data-pipeline gap, not a guardrail pass.🟡 COLLECTING experiments (27)
📋 View all 27 COLLECTING experiments
Note:
auditworkflowshas an unusually high combinedmin_samples(264) relative to its per-variant target — likely amin_samples× variant-count multiplier worth double-checking in the workflow'sexperiments:frontmatter.📊 Summary
View Full Experiments Table (all 51)
See the READY and COLLECTING tables above — combined they cover all 51 experiments across 48 workflows. No experiment reached
PROMOTEorREJECTthis run.🔁 Self-Tuning Continuation Plan
Top 3 experiment actions
insufficient_observationsexperiments (26 of 51). These are sample-size-ready but the core decision layer has no per-run value for metrics likeissue_evidence_completeness,token_count_per_run-adjacent proxies, and similar custom metrics. Highest-value targets:dailyagentrxtraceoptimizer(n=79, balanced),smokeantigravity/smokegemini(n=208/268, balanced, high volume).unsupported_multi_variantexperiments (14 of 51).awfailureinvestigator(n=439, 3-way balanced, p=0.947) anddeepreport(n=209, 4-way) are the largest READY experiments blocked purely by this constraint — prioritize pairwise/ANOVA-style comparison support here.guardrail_unsupportedmetrics forcicoach,dailyfact,dailysecurityredteam.run_success_rate,discussion_reaction_count, andfalse_positive_rateneed a supported native observation source so mandatory guardrails can actually pass/fail instead of blocking every decision.Top 3 eval actions
prompt_style/tone_variant/output_formatexperiments (e.g.cicoach,awfailureinvestigator,deepreport,dailycodemetrics), add or tighten eval questions that directly score the declared primary metric (verbosity, tone quality, completeness) per run — today the assignment layer works but downstream eval scoring isn't feeding the decision layer.sub_agent_strategy/sub_agent_decompositionexperiments (agentpersonaexplorer,dailyagentrxtraceoptimizer,smokepi,architectureguardian), tighten evals around evidence completeness and cost, since these are the closest to being decision-ready once observations land.model_sizeexperiments with 5 variants (dailycavemanoptimizer,dailydochealer,dailydocupdater), consider trimming to 2 primary comparison arms (e.g. best small vs. best large model) so the core analysis pipeline can produce a real decision instead of perpetualINCONCLUSIVE.Decision-pipeline gaps for the next PR
insufficient_observations(26 experiments) is the single largest blocker — the core analysis needs a general path from declaredmetric:/secondary_metrics:names to actual per-run numeric observations (currently many are custom/derived and not captured anywhere).unsupported_multi_variant(14 experiments) — extend automatic decisions beyond exactly-2-variant comparisons (e.g. omnibus test + pairwise follow-up) so 3+ variant experiments likeawfailureinvestigatoranddeepreportaren't permanently stuck atINCONCLUSIVE.guardrail_unsupported(3 experiments) — no interaction-diagnostic cells were computed this run since no workflow has 2+ simultaneously active experiments withPROMOTE-eligible evidence; once observation wiring lands, revisit whether the factorial interaction helper should become a normalized core signal rather than a reporting-only safety hold.All reactions