A diagnostic built on 2,200+ corporate decision episodes, six measurable dimensions, and a formula that predicts performance under stress.
The Framework
How many meaningful decisions the system produces relative to its capacity. High density means the organization generates a steady stream of consequential choices. Low density means decisions are rare, deferred, or delegated away.
How long it takes to move from recognition to committed action. Not speed for its own sake — velocity measures whether the organization can match its decision tempo to the environment.
How long decisions stick — and whether the system can renew them. High vitality means commitments are durable and get reinforced. Low vitality means decisions decay, get reversed, or are quietly abandoned.
The resource cost of producing one additional decision. This is a throughput tax — high MDC means the organization burns disproportionate energy on coordination, alignment, and approval for every incremental decision.
How accurately the organization chooses the right problems to solve. Selection measures whether the system’s filtering and prioritization mechanisms work — are you betting on the things that matter?
How well chosen actions are implemented and sustained. Not just “did we do it” but “did we do it well enough to capture the value.”
Performance Model
Performance = Metabolic Rate × Decision Accuracy2
How many meaningful decisions
How long it takes to decide
How long the decision sticks
How much it costs to decide
How right you are
How well you do it
Archetypes
High Decision Accuracy
Low
Metabolic
Rate
High
Metabolic
Rate
Low Decision Accuracy
Archetypes are not fixed. Microsoft moved from Constrained Optimizer to Chaotic Churner to Elite Integrator.
Methodology
01
Decision episodes are identified from organizational documents. Each episode captures a discrete decision: context, action, outcome. The 6 decision dimensions are identified using our proprietary identification rubric.
02
Our proprietary engine runs 5 unique scoring models that apply the same scoring rubric. Outliers are dropped, consensus is computed to reach a single rating including confidence intervals.
03
Scores are compared against the repository of 2,200+ cases. Archetype classification, failure mode detection, and intervention sequencing are computed.
Archetypes Are Not Fixed
Constrained Optimizer (pre-2010) — Under Gates and early Ballmer, Microsoft exhibited high decision accuracy but low metabolic rate. The Windows/Office franchise generated enormous value from a narrow set of bets. Selection was excellent within the core, but the system couldn’t generate enough decision volume to compete in adjacent markets.
Chaotic Churner (2010–2014) — The Ballmer era saw metabolic rate surge without accuracy keeping pace. Windows Phone, Bing, Surface RT, the Nokia acquisition, the aQuantive writedown — high energy, terrible selection. The organization was churning through initiatives without the filtering discipline to pick winners.
Elite Integrator (2015+) — Nadella rebuilt selection around a cloud-first thesis, increased velocity by flattening decision layers, and maintained accuracy by concentrating bets where Microsoft had structural advantage. Azure, Teams, and the GitHub/LinkedIn integrations all show high metabolic rate with high accuracy.
This demonstrates that archetypes describe a state, not a destiny. The trajectory is a function of leadership choices, organizational design, and environmental pressure.