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Our behavioral analytics practice merges behavioral science with finance and strategy to improve decision quality, reduce bias, and manage cognitive load. We offer custom models and frameworks for strategy development, bias audits in financial and operational decision-making, cognitive load analysis, and training programs to enhance judgment under uncertainty.
Research shows that decision-making bias can reduce company earnings by 6–10% of EBITDA annually, due to poor capital allocation, overconfidence in forecasts, and misjudged risks (McKinsey, “Bias Busters,” 2020). Cognitive overload leads to productivity losses of up to 15% and increases error rates in complex tasks (Harvard Business Review, 2018). Our tools and training help clients reduce bias-driven errors, streamline high-stakes decisions, and improve return on investment. Teams trained in cognitive and bias management consistently outperform in strategy execution and capital budgeting, driving long-term financial performance and risk-adjusted gains.
McKinsey & Company. (2020). Bias Busters: How cognitive biases impact financial performance.
Harvard Business Review. (2018). Beware the Busy Manager: Cognitive Overload and Productivity.
Cognition affects decisions, affects results
Results are driven by actions decided on using knowledge and experience. However, cognitive factors such as biases, decision fatigue, and recall of environmental cues, can affect the knowledge and experience drawn upon or the decision itself. These factors are important because they influence the results you obtain by affecting your decision to act.
IMPROVE
- Revenue
- Margins
- Productivity
- Clarity
- Decision Making
MITIGATE
- Decision Bias
- Wasted Resources
- Stagnation
- Opportunity Costs
- Inefficiencies
More informed decisions
We are pushing the behavioral consulting sphere in a more quantitative direction, enhancing the value add. Still, our less expensive arrangements will move directly to the feedback stage post-collection. This is a basic framework that can be used for most model creation, with the adaptation for using behavioral data. Models create feedback and predictions used as inputs to business decisions.
