◈ Delivery Hub for AI programmes
Metrics library

Measure the thing, not the noise

Sixteen metrics with their formula, cadence and the specific way each one gets gamed. Pick four — one per category — and put them on the wall. Reporting more than that is how a programme hides.

Outcome

— The only metrics a steering committee should open with.
MetricFormulaHow it gets gamedCadence
Cycle time reduction (baseline_time − current_time) / baseline_time Compare like-for-like case mix, or easy cases will flatter you. Monthly
Cost per successful task (inference + retrieval + human review cost) / successful tasks Exclude failed attempts from the denominator, not the numerator. Weekly
Value realisation realised benefit / business-case benefit Re-baseline honestly; do not quietly move the target. Quarterly
Deflection rate tasks completed without human handoff / total tasks High deflection with low satisfaction means users gave up. Weekly

Quality

— Evidence that the thing actually works, measured the same way every time.
MetricFormulaHow it gets gamedCadence
Task success rate cases rated pass on rubric / golden set size Rubric drift between raters — calibrate monthly. Per change (CI)
Groundedness claims supported by retrieved source / total claims A confident unsupported claim is worse than a refusal. Per change (CI)
Refusal rate on valid requests valid requests refused / valid requests Safety tuning silently raises this; test both directions. Weekly
Regression delta current eval score − previous release score Any negative delta needs a named accept/reject decision. Per release

Trust & adoption

— Whether people actually choose to use it when nobody is watching.
MetricFormulaHow it gets gamedCadence
Weekly active ratio weekly active users / licensed users Mandated usage is not adoption. Segment voluntary use. Weekly
Override rate outputs edited or rejected / outputs accepted The sharpest trust signal you have. Track the trend, not the level. Weekly
Escalation rate sessions escalated to human / total sessions Rising escalation before falling usage is your early warning. Weekly
Retention at 30 days users active in week 4 / users onboarded in week 1 The honest answer to whether the pilot worked. Per cohort

Operations

— Can you run this at 3am without heroics?
MetricFormulaHow it gets gamedCadence
p95 end-to-end latency 95th percentile request duration Measure user-perceived time, including retrieval and reranking. Continuous
Time to rollback decision → previous version fully serving Unrehearsed rollback is an assumption, not a capability. Per drill
Input drift index divergence of input distribution vs reference window Drift precedes quality loss — alert on it, not after it. Daily
Eval coverage production failure modes represented in golden set Every incident should permanently grow this number. Monthly
A workable reporting set

Cost per successful task

Economics that scale or do not

Task success rate

Quality with a stable definition

Override rate

Trust, measured not assumed

Time to rollback

Operational confidence