Measuring What Matters
Why the Most Important Things in Management and Transformation are the Hardest to Measure and What to Do About It
Measurement Is a Human Problem, Not a Data Problem
Organizations spend billions on dashboards, analytics platforms, and reporting systems, yet the most common question leaders ask remains unanswered: Are we measuring the right things? The uncomfortable truth is that most organizations are measuring what is convenient rather than what is consequential. They track outputs instead of outcomes, count activities instead of impact, and confuse data abundance with genuine insight.
This disconnect is not a technology problem. It is a psychology problem. The same cognitive biases, identity protections, and avoidance behaviors that derail transformation also distort how organizations define success. Leaders measure what confirms their existing beliefs. Teams track what strokes egos rather than what drives growth. Cultures reward impressive dashboards over honest assessments of progress.
Measuring What Matters brings together our published research, consulting insights, and podcast episodes that explore the intersection of measurement, psychology, and organizational performance. Whether you are navigating a transformation, building a KPI framework, or questioning whether your metrics tell the truth, the resources on this page offer a psychology-first approach to getting measurement right.
This is a growing collection. New articles and resources will be added as we continue to explore the subject that sits at the heart of every successful transformation: knowing what to measure, why it matters, and what to do when the numbers challenge what you want to believe.
Published Articles
The Organizational Memory Problem
Why organizations systematically forget what they learn and how to measure what they actually retain. A five-dimension measurement framework for tracking institutional memory, from decision recurrence to behavioral retention.
The Value of Intangibles
Why 92 percent of S&P 500 value now resides in intangible assets while most organizations still measure only the tangible 8 percent. The precision trap, the measurement gap, and what measuring trust, culture, and institutional knowledge actually requires.
Why Transformation Dashboards Lie
The psychology of measurement that confirms what you already believe. Five patterns of dashboard deception including survivorship bias, aggregation smoothing, and Goodhart’s Law that mask the gap between reported progress and actual change.
The Leading Indicators of Resistance
Seven behavioral signals that predict transformation resistance 8 to 12 weeks before it becomes visible in performance data. A psychology-first framework for intervening while change remains possible.
Leveraging Data to Increase Revenue and Retention: Association and Society Conferences and Events
A practical application of Measuring What Matters to conferences and events. How behavioral intelligence and attendee journey mapping transform revenue and retention.
Why Behavioral Data Matters (2018) Updated for 2025
The case for measuring what people do rather than what they say. How AI and machine learning have transformed behavioral data from descriptive to predictive.
Measuring What Matters
Where the concept began. The critical questions every organization should ask about its KPIs and why customer loyalty is the ultimate metric that transcends all others.
Do You Measure by Outputs or Outcomes?
The foundational distinction between measuring effort and measuring impact. Why are humans programmed to measure energy expenditure rather than strategic results?
Signal vs. Noise: A Mid-Year Framework for Navigating Transformation in the Age of Overload
A three-signal framework for cutting through business chatter and misinformation. Why human-centered leadership outperforms dashboard-driven management.
Measuring What Matters: Navigating the KPI Labyrinth in an Era of Information Overload
A comprehensive framework for modern measurement where traditional KPIs have become dangerous. Introduces the I3 Problem and eight operational principles for adaptive organizations.
Related Podcast Episodes
Measuring the Human Factor: When Surveys Lie, and Behavior Reveals the Truth
Reveals the 40 to 50 percentage point gap between stated support and actual adoption. Introduces the four domains of human factor measurement: behavioral readiness, psychological safety, adoption velocity, and sustainability indicators.
Data Noise and Decision Paralysis: When Too Much Information Kills Critical Thinking
Examines why organizations drowning in data are making worse decisions than ever before. Introduces the Signal Clarity Framework and unpacks why teams with hundreds of dashboards lose their ability to think critically.
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