File: ~/Desktop/Performance Books/Rethinking Performance Measurement - Beyond the Balanced Scorecard ...pdf
Tradition: Org/strategy measurement (critique)
Stance toward Performix: Ally — the most psychometrically sophisticated critic in the cluster
Read depth: Intro + Ch.1–2 close-read via keyword extraction
Core claim (1 line)
Performance measurement fails because what we want to measure (long-term viability) and what we can measure (current proxies) are not the same — and the Balanced Scorecard doesn't fix this, because it gives "no guidance on how to combine dissimilar measures into an overall appraisal of performance."
What the book actually says (grounded)
- Want-vs-can gap: "the performance we want to measure (long-term cash flows, long-term viability) and the performance we can measure (current cash flows, customer satisfaction, etc.) are not the same."
- The "running down" of measures (the standout insight): "the tendency of almost all measures to lose variance and hence the capacity to discriminate between good and bad performance." Measures decay as discriminators; "running down is attenuated in turbulent environments."
- Too many measures: "firms are swamped with measures … fifty to sixty top-level measures"; the IMA finds a large share of accountants rate their measures "poor" — and "do not experience these changes as improvements."
- Seven purposes (often in conflict): look ahead · look back · motivate · compensate · roll up · cascade down · compare — the roll-up/cascade/compare (org artifacts) pull against motivate/compensate.
- Proposed fix — ABPA (activity-based profitability analysis): "estimates the revenue consequences of each activity performed for the customer," letting firms "discriminate between activities that are ultimately profitable and those that are not."
Contrast with the Performix thesis
| Performix commitment | Meyer's position | Verdict |
|---|---|---|
| Diagnostic, not laundry-list | Attacks measure-sprawl head-on ("swamped with measures") | Strong ally |
| CAMS binding constraint | No binding-constraint model, but the want/can gap motivates measuring the right latent thing | Ally (philosophical) |
| Psychometric-first / AI-as-consumer | "Running down" = loss of variance/discrimination — this is a psychometric property (item information / floor-ceiling) stated in business language | Direct ally — validates our IRT/uncertainty stance and the need to monitor a measure's discriminating power |
| Adaptive narrowing + VOI | "Too many measures"; measure what discriminates | Ally |
| Three levers | ABPA = translate activity → value ≈ our "ops → performance value" design law | Ally ([[project_performix_translates_ops_to_performance_value]]) |
Extractables
- Construct/measure: measure "running down" / discrimination decay → a substrate health-check: monitor whether a CAMS item still discriminates (variance not collapsing). Strong fit with index doctrine + reincarnation item lifecycle.
- Concept: the want-vs-can gap → frame for why we measure latent CAMS constructs (the want) via observable indicators (the can), with stated uncertainty.
- Tool / PFX card idea: ABPA-style activity→value translation as a pattern for the value-stack (don't surface raw ops).
- Substrate ingest candidate: yes — the seven-purposes taxonomy + running-down concept as priors for measurement-design/health.
Content seeds
- Article angle: "Your metrics are 'running down' — why good measures quietly stop telling you anything." (variance decay; why dashboards go stale).
- Guide entry: Part VII (measurement) — the want/can gap + measure-health; cross-ref Part I (refuse the laundry list).
Library record
- Canonical id: (mint per library SPEC; tag
performix) · Path A/B: not yet ingested - Already in PA library? Not found. Aligned → move to PA inbox (batch with SDT/Ericsson/Marr).