Impact Efficiency Report - 2026-06-09

[github-actions]

Summary

Analysis window: 2025-12-11 to 2026-06-09 (180 days)
Note: Outcome data covers a sample of the most recent ~135 workflow outcomes retrievable via API. AI Credits data covers 14 workflow runs visible in that sample. Full 180-day totals exceed what can be retrieved in a single pass.

Metric	Value
Outcomes analyzed	135
Objectives mapped	3
Unmapped outcomes	132
Accepted outcome count	40
Total outcome value	150
AI Credits (visible sample)	2,156 AIC
Impact Efficiency	0.070 value-units / AIC

Accepted outcomes: 37 merged PRs (Copilot agent) + 3 completed high-priority issues ([copilot-opt]) = 40 total.
Mapped outcomes: Only 3 — the three [copilot-opt] report-action issues, which function as self-described objectives (P1/high-priority label, no parent issue, closed with state_reason: completed).
AI Credits: Partial denominator. Full 180-day cost is unavailable; only run-level AIC reported in issue footers across 14 visible workflow runs. PR-producing Copilot agent sessions are not represented.

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Top outcomes by outcome value

Outcome	Associated objective	Objective value signals	Objective Value	Outcome Value
#37902: [copilot-opt] Retry-blocked — WIP Fix failing GitHub Actions job 'agent'	#37902 (self, report action)	high-priority	50	50
#37901: [copilot-opt] 56% of workflow runs blocked by action_required approval	#37901 (self, report action)	high-priority	50	50
#37900: [copilot-opt] Duplicate concurrent workflow instances on Agentic Commands	#37900 (self, report action)	high-priority	50	50
#38022: Prioritize max-ai-credits exhaustion over engine HTTP 429	— (unmapped)	—	—	0
#38018: Stop harness retries on AI-credit exhaustion	— (unmapped)	—	—	0
#38017: Version issue-creation REST calls in handle_agent_failure	— (unmapped)	—	—	0
#38015: Replace non-idiomatic len(string) == 0 checks	— (unmapped)	—	—	0
#38014: [lint-monster] Migrate unsafe sort.Slice calls to type-safe slices	— (unmapped)	—	—	0

Only outcomes with Objective Value > 0 are shown for non-zero rows. All 37 merged PRs are accepted but unmapped.

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Top objectives by delivered value

Objective	Priority/Severity	Milestone	Project	Delivered Outcome Value
#37902: [copilot-opt] Retry-blocked: WIP Fix failing GitHub Actions job 'agent'	high-priority (P1)	—	—	50
#37901: [copilot-opt] 56% of workflow runs blocked by action_required approval	high-priority (P1)	—	—	50
#37900: [copilot-opt] Duplicate concurrent workflow instances on Agentic Commands	high-priority (P1)	—	—	50

No milestones or project assignments exist in the repository; no +10 adjustments were applied.

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Unmapped outcomes

Outcome	Reason objective was not mapped
#38022 PR: Prioritize max-ai-credits exhaustion	No linked objective issue in PR body or description
#38018 PR: Stop harness retries on AI-credit exhaustion	No linked objective issue
#38017 PR: Version issue-creation REST calls	No linked objective issue
#38015 PR: Replace len(string) == 0 checks	No linked objective issue
#38014 PR: [lint-monster] Migrate unsafe sort.Slice calls	No linked objective issue
#38009 PR: [community] Update community contributions in README	References only other PRs, no objective issue
#37996 PR: Clarify pr-finisher handling for github-actions[bot]	No linked objective issue
#37995 PR: Bump gh-aw-firewall to v0.25.68	No linked objective issue
(+ 29 additional merged PRs)	No linked objective issue in any merged PR
[aw] failure issues (e.g., #38035, #38032, #38026...)	No parent objective issue; workflow monitoring outputs with no linking hierarchy
[refactor], [reliability], [lint] report issues (e.g., #37979, #37969, #38010...)	Produced as standalone report actions; no linked parent objective

132 of 135 outcomes are unmapped. The dominant pattern is that Copilot agent PRs and workflow report issues do not carry Closes #N or equivalent links to objective issues.

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Interpretation

Accepted outcome count alone: 40
Impact Efficiency: 0.070 value-units per AIC

Accepted outcome count (40) presents an optimistic picture: 37 Copilot agent PRs were merged plus 3 high-priority issues were resolved. On volume, this looks productive.

Impact Efficiency reveals the hidden problem: 97.5% of accepted outcomes (39 of 40) contribute zero to Total Outcome Value because they cannot be associated with any objective issue. The 37 merged PRs — the majority of accepted outcomes — deliver real engineering value, but without objective links their importance cannot be quantified under this model. The only measurable value (150 outcome-value units) comes from 3 [copilot-opt] issues that triggered concrete workflow improvements.

Which metric better reflects meaningful delivered value relative to cost?

Impact Efficiency is the more disciplined signal — it forces the question of what was accomplished and whether it mattered, not just how many things were done. At 0.070 value-units/AIC on partial data, it correctly surfaces that the AI spend is not yet traceable to prioritized objectives in a systematic way. The accepted count of 40 masks this gap entirely.

However, Impact Efficiency cannot be trusted as a complete signal here, because:

1. The unmapped rate (97.5%) means the model is measuring less than 3% of total delivered value
2. The AI Credits denominator covers only ~14 of potentially hundreds of workflow runs
3. The 37 merged PRs may represent very high-value delivery not captured by this model at all

Conclusion: Impact Efficiency is a more meaningful signal in theory, but is currently uncomputable at full fidelity due to missing objective links and incomplete AI Credits data. Even so, it outperforms accepted count by exposing exactly where the measurement breaks down.

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Data quality

Outcome-to-objective association

Critical gap. 97.5% of outcomes are unmapped. All 37 Copilot agent merged PRs lack Closes #N or Fixes #N links to objective issues. Workflow report issues ([aw], [refactor], [reliability], etc.) are created as standalone outputs with no parent issue linking them to broader objectives. Without these links, the Impact Efficiency numerator is computed from only 3 of 40 accepted outcomes.

Priority/severity metadata

Sparse. Only 3 issues in the sample carry high-priority (P1 equivalent). No P0/critical, P2/medium, or P3/low labels appear on any objective-linked work item. No severity:* or priority:* structured labels are used. The vast majority of label vocabulary is classification-only (agentic-workflows, automation, bug, cookie, etc.) and carries no priority weight.

Milestone/project metadata

Absent. No issues or PRs in the 180-day sample are assigned to a milestone or project. All +10 planning-context adjustments are zero. Maximum achievable Objective Value = 100 (not 120).

AI Credits availability

Partial. AI Credits (AIC) are reported in issue footers by some workflows (Generated by ... · X AIC · ⌖ Y AIC), covering 14 workflow runs (2,156 AIC total visible). Copilot agent PR-producing sessions do not report AIC in issue footers. Full 180-day total — which would include hundreds of additional workflow runs and all agent sessions — is not accessible via the GitHub API in this run context. The denominator used (2,156 AIC) is a lower bound; the true total is higher, meaning the true Impact Efficiency is lower than 0.070.

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Generated by Impact Efficiency Report workflow — 2026-06-09

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