DFT / ATPG · All levels

DFT Whiteboard Framework: Review Checklist

Review Checklist for DFT Whiteboard Framework.

Review checklist

Review Checklist for DFT Whiteboard Framework focuses on interview answer structure quality, mechanism clarity, tradeoff articulation. The goal is to convert metric movement into mechanism, owner, and release decision.

  • Run tags and scenario context are explicit.

  • Constraints and legality assumptions are documented.

  • Quality, timing, and test-power checks are included.

  • Diagnosis evidence supports residual-risk decision.

  • Owners signed: candidate, DFT interviewer, hiring panel.

Signoff ownership

diagram
OWNERSHIP MAP - DFT Whiteboard Framework

artifact              owner
----------------      -----------------
architecture/report candidate
constraints/setup   DFT interviewer
physical/test       hiring panel

Name an owner for each failing metric cluster.

DFT deep dive

Senior DFT interviews test tradeoff judgment under imperfect data.

Concept diagram

diagram
INTERVIEW ANSWER LOOP

state metric -> explain mechanism -> request evidence -> propose fix -> list regression

Metric graph

diagram
ANSWER QUALITY

mechanism clarity + ownership clarity + regression discipline

Reports and artifacts

  • whiteboard rubric

  • scenario scorecard

  • trap checklist

  • follow-up depth index

Mini case study

Candidate improved from tool-only answers to mechanism-first narratives by using metric->artifact->decision template.

Debug branches

  • Always state assumptions

  • Name cross-team owners

  • Discuss risk and fallback plan

Senior review question

Ask: what evidence proves this DFT decision is safe for production?

Key takeaways

  • State metric, lot/corner context, and pattern tag with every claim.

  • Treat timing, power, and quality as one signoff problem.

Common pitfalls

  • Chasing coverage without legality checks.

  • Ignoring test-power side effects of pattern changes.

  • Debugging silicon without reproducible tags.

Principal DFT review addendum

Strong DFT interviews follow a repeatable chain: architecture intent, controllability/observability, constraints, quality metrics, and debug loop.

Metric: interview answer structure quality, mechanism clarity, tradeoff articulation