Olivier Sibony spent twenty-five years at McKinsey & Company before joining HEC Paris as Professor of Strategy. His work focuses on how cognitive biases affect executive and strategic decisions, and how organizations can design processes that reduce error. The collaboration with Kahneman began in the 2000s around Kahneman's interest in improving practical decision-making in corporate settings. Their joint work on reducing bias in strategic decisions culminated in the 2021 book Noise, co-authored with Cass Sunstein, which extended the behavioral framework from individual cognitive errors to system-level variability.
There is a parallel reading of the decision hygiene framework that begins with its institutional origins. Sibony's twenty-five years at McKinsey created work optimized for a specific client class: organizations large enough to afford systematic process redesign, stable enough to implement multi-year interventions, and profitable enough that marginal improvements in strategic accuracy translate to measurable value. The framework inherits the consulting model's assumptions about what counts as a "decision" worth optimizing—capital allocation, M&A, major strategic pivots—while treating operational judgments affecting far more people as implementation details.
The translation from behavioral economics to organizational practice that Sibony championed may represent less an advance than a category error. Kahneman's work documented systematic flaws in human reasoning; Sibony's contribution was repackaging these findings as correctable defects in corporate process architecture. But the cognitive biases documented in lab settings and real-world decisions don't cleanly map to "noise" that organizations can engineer away through better meeting structures or pre-mortem exercises. The lived experience of most organizational decision-making—shaped by power dynamics, resource constraints, political economy, career incentives—resists the tidy separation between "bias we can fix" and "judgment we should preserve" that decision hygiene requires. What presents as a framework for better decisions may function primarily as a framework for decisions that feel better to the people commissioning the framework, creating the institutional illusion of rigor while leaving the substrate conditions that produced poor judgment fundamentally unchanged.
Sibony's 2019 book You're About to Make a Terrible Mistake translated decades of behavioral-economics research into a practical framework for organizational decision hygiene. The book prefigured many of the themes of Noise while focusing on individual strategic errors rather than collective inconsistency.
His role in the Noise collaboration was substantial. Kahneman acknowledged Sibony as the co-author who most consistently pushed the analysis toward implementable interventions, insisting that diagnosis without prescription was inadequate for the practical audiences the book sought to reach.
Sibony has written extensively on AI and decision-making in the post-Kahneman period, including on whether AI tools reduce or amplify the cognitive biases his earlier work documented. His position has been characteristically nuanced: AI eliminates some noise while introducing new failure modes, and the net effect depends on the institutional structures surrounding deployment.
Sibony completed doctoral work at HEC Paris while maintaining his McKinsey practice, producing research that integrated academic rigor with direct experience of executive decision-making in dozens of large organizations.
Decision hygiene. Sibony's framework for structural practices that reduce bias and noise in organizational decisions.
Translation role. His contribution to Noise was pushing the analysis toward practical prescriptions.
Corporate judgment focus. His primary domain is strategic decisions in large organizations rather than individual cognitive psychology.
The right frame here depends on which organizational layer we're examining. For genuinely consequential strategic decisions in large stable organizations—the ones Sibony's McKinsey experience centered—the decision hygiene framework captures something real (75%). Pre-mortems do surface unconsidered failure modes; structured processes do reduce meeting-room anchoring effects; documented procedures do create accountability that improves future calibration. The contrarian reading underweights how much marginal improvement matters at scale and how rare systematic approaches to strategic decision-making actually are in practice.
But the critique lands forcefully (80%) when we ask what counts as a decision worth optimizing. The framework's corporate strategy focus treats the judgments that shape most people's working lives—hiring, performance evaluation, resource allocation below executive level—as terrain for eventual application rather than the primary domain. The consulting-industrial complex that valorizes "strategic" thinking while dismissing operational judgment as mere execution reflects a hierarchy of decision-making that Sibony's work inherits rather than interrogates. His HEC research maintains this framing even outside McKinsey's commercial incentives.
The synthesis the topic itself requires is recognizing decision hygiene as a middle-range theory: genuinely useful for a specific class of high-stakes, low-frequency organizational choices, misleading when presented as a general framework for organizational rationality (50/50). The question AI raises is whether better tools for reducing noise in strategic decisions matter when the larger pattern is algorithmic systems making millions of operational judgments with no hygiene framework at all—choices affecting workers and customers that Sibony's framework doesn't even register as decisions requiring improvement.