Use when you own Top-Level Closure Dashboard in a top-level integration review.
Open latest integration baseline and manifest.
Inspect failing metric by domain.
Trace first failing contract boundary.
Collect artifacts and assign single-thread owner.
Define minimal proof experiment.
Apply smallest reversible fix.
Run focused check then full regression.
Update dashboard and governance log.
Decide: close, waive with expiry, or escalate.
Publish final review memo.
closure dashboard, risk burndown chart, owner status report
baseline manifest
owner matrix
regression summary
risk memo
SOC DECISION MEMO — Top-Level Closure Dashboard
baseline:
metric:
root cause:
fix:
residual risk:
owners: signoff lead, program lead, domain ownersCLOSURE DASHBOARD
timing: open/closed
power: open/closed
phys: DRC/LVS status
CDC/RDC: waiver state
verification: signoff statusSignoff confidence depends on evidence quality and reproducibility discipline.
SIGNOFF DECISION FLOW
metrics -> manifest -> waivers -> executive reviewOPEN CRITICALS OVER TIME
week1 █████████
week2 █████
week3 ██closure dashboard
signoff manifest
waiver aging report
TRR checklist
A near-tapeout risk was caught when manifest mismatch invalidated an apparently green closure report.
Validate manifest integrity
Bound waiver risk
Audit cross-domain owner approvals
Ask: what baseline, owner, and artifact prove this topic is truly closed?
State baseline manifest and owner with every closure metric.
Run cross-domain regression after every top-level fix.
Comparing results across different manifests.
Unowned issues slipping through review cycles.
Waiving risks without expiry and validation plan.
A closure dashboard unifies timing, power, DRC/LVS, CDC/RDC, and verification readiness into a decision-grade tapeout view.
Metric: open critical signoff items, closure burn-down trend
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