Top-Level Closure Dashboard: Debug Playbook

Debug playbook

Debug Playbook for Top-Level Closure Dashboard focuses on open critical signoff items, closure burn-down trend. The goal is to map symptoms to boundary contracts, owner actions, and regression-proof closure.

Integration debug is a search for the first contract break, not the loudest downstream failure signature.

Root-cause tree

ROOT-CAUSE TREE — Top-Level Closure Dashboard

open critical signoff items, closure burn-down trend regressed
         |
   same baseline manifest?
      /           \
    no             yes
    |               |
version/collateral  real integration
mismatch            contract break
 /       \            |
inputs    env      isolate domain
drift     drift    and first failure

1. Freeze baseline manifest and owner matrix.

2. Find first failing boundary and earliest reproducible symptom.

3. Classify failure type: contract, collateral, implementation, or governance.

4. Prove with one reduced experiment.

5. Apply smallest owner-controlled fix.

6. Run focused verification and full cross-domain regression.

Review memo template

STAFF SOC REVIEW MEMO — Chip-Level Signoff / Top-Level Closure Dashboard

1. Symptom
   - Watched metric: open critical signoff items, closure burn-down trend
   - Failing integration boundary: <domain/interface>
   - Baseline manifest: <hash/tag>
   - Repro setup: <sim/emulation/fpga/silicon + fw tag>

2. Mechanism hypothesis
   - Primary mechanism: A closure dashboard unifies timing, power, DRC/LVS, CDC/RDC, and verification readiness into a decision-grade tapeout view.
   - Competing hypothesis: <contract drift, collateral mismatch, implementation bug, governance gap>
   - Missing evidence: <trace, report, checklist, signoff artifact>

3. Proposed action
   - Minimal reversible fix: <contract update, config patch, RTL fix, process guardrail>
   - Expected metric movement: <delta and scope>
   - Regression risk: timing, power, functionality, schedule

4. Signoff
   - Re-run artifact: closure dashboard, risk burndown chart, owner status report
   - Required owners: signoff lead, program lead, domain owners
   - Final decision: close, waive (bounded), or escalate

SoC deep dive

Signoff confidence depends on evidence quality and reproducibility discipline.

Concept diagram

SIGNOFF DECISION FLOW
metrics -> manifest -> waivers -> executive review

Metric graph

OPEN CRITICALS OVER TIME
week1 █████████
week2 █████
week3 ██

Reports and artifacts

• closure dashboard

• signoff manifest

• waiver aging report

• TRR checklist

Mini case study

A near-tapeout risk was caught when manifest mismatch invalidated an apparently green closure report.

Debug branches

• Validate manifest integrity

• Bound waiver risk

• Audit cross-domain owner approvals

Senior review question

Ask: what baseline, owner, and artifact prove this topic is truly closed?

Key takeaways

• State baseline manifest and owner with every closure metric.

• Run cross-domain regression after every top-level fix.

Common pitfalls

• Comparing results across different manifests.

• Unowned issues slipping through review cycles.

• Waiving risks without expiry and validation plan.

Principal SoC review addendum

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