CDC / RDC · All levels
CDC/RDC Whiteboard Framework: Reports & Metrics
Reports & Metrics for CDC/RDC Whiteboard Framework.
Reports and metrics
Reports & Metrics for CDC/RDC Whiteboard Framework focuses on problem decomposition quality, mechanism-first answer quality. The goal is to convert issue observations into mechanism-backed closure decisions.
Reports must explain risk movement in problem decomposition quality, mechanism-first answer quality, not just issue counts. A report is complete only when ownership and closure action are explicit.
Metric movement
METRIC TREND — problem decomposition quality, mechanism-first answer quality
critical open issues
^
| target (0 critical)
| - - - - - - - - - -
| o post triage
| o initial run
| o baseline
+--------------------------------------> review iteration
Always pair count trend with evidence quality trend.Risk distribution
RISK HEATMAP — CDC/RDC Whiteboard Framework
severity
high | XX X
medium | XXX XX
low | XXX XXX
+----------------------------> ownership readiness
unassigned in-progress closed
Metric focus: problem decomposition quality, mechanism-first answer qualityTrack problem decomposition quality, mechanism-first answer quality by block, mode, and severity.
Separate structural warnings from behavior-proven hazards.
Show waiver age and owner SLA alongside raw counts.
Store evidence links with each closure claim.
CDC/RDC deep dive
Interview performance reflects production signoff thinking quality.
Concept diagram
INTERVIEW FLOW
classify -> explain mechanism -> propose fix -> state regressionMetric graph
PRACTICE SCORE
session1 62%
session2 78%
session3 89%Reports and artifacts
scenario completion
answer rubric scores
trap recovery quality
Mini case study
Candidate gave command-heavy answer but missed risk framing and waiver governance.
Debug branches
Use mechanism-first structure
name ownership and evidence
close with signoff decision
Senior review question
Ask: what evidence proves this risk is closed for silicon, not just tool-clean?
Key takeaways
State crossing class, assumptions, and owner with every issue.
Run structural and dynamic regressions after each fix.
Common pitfalls
Treating all warnings as equivalent risk.
Waiving issues without containment evidence.
Skipping reset and reconvergence stress after CDC fixes.