DecisionDNA measures organizational metabolism through scientific research.
DecisionDNA measures organizational metabolism—how organizations coordinate, adapt, and execute strategic decisions. We deliver metabolic measurements, trajectory simulations, and risk mapping for PE firms, corporate boards, and institutional buyers.
Our approach is grounded in peer-reviewed research demonstrating that organizational performance follows metabolic scaling laws observed across biological systems. This is not consulting wisdom. This is science applied to coordination problems.
Pre-deal assessments of coordination capacity, digestive bandwidth, and execution readiness for PE firms evaluating targets.
Model post-close intervention scenarios, optimize execution sequencing, and stress-test value creation plans against metabolic constraints.
Identify coordination bottlenecks, decay signatures, and failure patterns 2-5 years before financial metrics deteriorate.
Free real-time tracking of narrative fragility and coordination breakdown risk in fast-moving sectors.
Shadow Index and sector-level metabolic volatility surfaces for market-wide early warning.
Peer-reviewed research validating metabolic coordination principles across biological, organizational, and geopolitical systems.
DecisionDNA began as an attempt to answer a simple question: Why do capable organizations fail while less capable ones succeed.
During research across COVID shock responses, corporate turnarounds, high reliability systems, and biological coordination processes, a pattern emerged. Success and failure were not driven by strategy quality or resource endowment. They were driven by the underlying coordination metabolism of the system.
Decisions were not failing at the moment of choice. They were failing because the system could no longer convert information into coherent action at the required speed and accuracy.
To test this, we began measuring systems the same way a biologist measures metabolic processes. Pulse by pulse. Density. Velocity. Vitality. Marginal cost. Fidelity. Across firms, ministries, teams, and even cellular pathways, the same mathematical structure repeated.
Performance mapped to Metabolic Rate multiplied by Decision Accuracy squared. The architecture of coordination obeyed the same scaling principles found in biological systems. Once measured, the outcomes became predictable.
DecisionDNA was created to turn this research into products. Measurements that reveal coordination limits. Simulations that show how systems adapt under load. Indices that quantify metabolic stability. Tools that let leaders understand capacity before outcomes force the truth.
The company exists for one reason. To quantify coordination for high stakes systems using universal metabolic principles.
Founder & Research Director
Boy W.J. Kester is a Strategy Advisor and Scholar with over 20 years of global experience diagnosing organizational performance in high-pressure environments.
As a former Partner at Monitor Deloitte, he advised multinational corporations, private equity firms, and government ministries on their most critical strategic pivots. It was during these decades of practice that he identified the fundamental limitation of traditional management consulting: excellent strategies frequently fail not because of poor logic, but because of Metabolic Incompatibility—the invisible inability of the organization to coordinate at the required velocity.
He founded DecisionDNA to solve this problem scientifically. Moving beyond "best practices," he developed the Decision-Based View (DBV), a theoretical framework that quantifies organizational coordination using metabolic scaling laws. His research on decision metabolism and the "coordination exponent" provides the mathematical foundation for the DecisionDNA product suite.
Boy is the author of the Bubble Index: AI and the architect of the Decision Metabolism framework. His work bridges the gap between complexity science and boardroom execution.
We exist to make coordination visible, measurable, and predictable. Organizations that understand their metabolic limits make better strategic decisions. Organizations that violate metabolic scaling laws fail predictably.
Track AI sector coordination risk in real-time. Free. No credit card required.