The repository, methodology, and validation behind DecisionDNA.
Repository
Technology, financial services, healthcare, energy, consumer, industrials, media, telecommunications, professional sports, and 18 additional sectors. Each case scored independently across all six dimensions.
Board minutes, ExCo records, strategy memos, due diligence reports (FDD, CDD, ODD), management presentations, initiative tracking logs, operating plans, governance frameworks, risk registers, and investor communications. Average 7.3 unique source documents per scored episode.
285 unique signal types across 49 distinct extraction categories: dimension polarity signals (density, velocity, vitality, MDC, selection, execution), rhetoric markers (hedge, passive, promissory, complexity), absence signals, episode-derived metrics, and calibration indicators. Each signal mapped to one or more of the six scoring dimensions.
Each episode generates 6 dimension scores (1–10), 18 sub-dimension indicators, confidence intervals per dimension, and composite MR/DA/Performance indices. Total: 42 unique data elements per scored episode, 213,600+ data elements across the repository.
Cases span from 1784 to 2026, enabling cross-era validation. The scoring methodology produces consistent results across regulatory regimes, technology cycles, and market structures.
Each episode scored by 5 independent rating models applying an identical rubric. Inter-rater reliability (Cohen’s κ = 0.81) measured and reported. Consensus scores derived from calibrated aggregation with outlier exclusion, not averaging.
North America (70%), Europe (16%), Asia-Pacific (9%), Global/Other (5%). Coverage includes both developed and emerging market organisations, from <€500M to >€200B in enterprise value.
Episodes classified across 11 decision types: M&A integration, organic expansion, restructuring, leadership transition, market entry, product launch, capital allocation, governance redesign, digital transformation, crisis response, and portfolio rebalancing.
Process
01
Board packs, strategy memos, ExCo records, due diligence reports, operating plans, governance frameworks, initiative tracking logs.
02
Signal extraction across 285 signal types, pulse calibration, 5-model consensus scoring across all six dimensions against the 5,000+ case repository.
03
Archetype classification, load absorption capacity, forward degradation signals, intervention window and timing.
The Gap
Current due diligence and assessment methods each have structural blindspots. DecisionDNA measures what they cannot.
| Assessment Type | What It Measures | Structural Blindspot |
|---|---|---|
| Financial DD | Historical financial performance, accounting quality | Cannot predict whether the organization can execute forward plans |
| Commercial DD | Market position, competitive dynamics, customer base | Cannot assess whether the organization can digest market shifts |
| Operational & Tech DD | Systems, processes, technical debt | Cannot measure coordination capacity or decision throughput |
| Management Assessment | Individual leadership capability | Cannot measure the system’s metabolic capacity independent of individuals |
| Readiness & Culture | Employee sentiment, cultural alignment | Cannot quantify decision velocity, selection accuracy, or metabolic load limits |
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