First-pass yield shows what percentage of work clears validation without rework, while escape rate counts issues customers encounter. Aim for meaningful reductions in escapes before obsessing over internal perfection. Track both per product or service slice to see where light tests pay off. If first-pass yield is high but escapes persist, your checks miss real-world conditions. Add targeted environmental tests or real-user sampling. Keep a simple weekly view, celebrate honest reporting, and choose the smallest control that measurably cuts external pain.
Measure review depth by the proportion of changes receiving deep review versus lightweight checks, adjusted for risk. High-risk work deserves careful eyes; routine work may only need automated gates. Track review cycle time to ensure scrutiny does not become drag. If deep reviews find little, reduce frequency or scope; if escapes rise, selectively increase depth. Document criteria in one page, not a binder. Encourage reviewers to leave coaching notes, turning quality control into skill-building rather than gatekeeping and frustration.
Change failure rate shows how often releases cause incidents; mean time to recovery reflects resilience. Monitor them together to verify that smaller, more frequent changes are actually safer. If failure rate is steady but recovery accelerates, you are improving resilience without overburdening approvals. If both worsen, invest in automated rollbacks or clearer preflight checks. Keep a lean release checklist, prune steps that add little protection, and run post-release sampling. Invite your team to suggest one tiny experiment each sprint that lowers recovery time.