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Joy at Work Thinking

Don’t Fixate, Scan all the Metrics analytics change leadership practitioner Apr 05, 2026

Written by Ed Cook and Roxanne Brown

A pilot flying on instruments in thick clouds has to rely on the panel of gauges in front of them to know where the airplane is in space. A look outside reveals only an off-white mass with no visible horizon. Airspeed. Altitude.  Vertical speed. Heading, Attitud...

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Stop Describing and Start Prescribing analytics change leader practitioner Mar 27, 2026

Written by Ed Cook and Roxanne Brown

Open any change management status report, and you will likely find the same thing: a chart of training completion rates, a table of survey scores, maybe an arrow pointing up or down next to last month's numbers. The presenter will walk through the data, perhaps ...

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Using AI to Find Your Hidden Influencers analytics change leader practitioner Mar 22, 2026

Written by Ed Cook and Roxanne Brown

The organizational chart is a map. Often an incomplete map, but a useful one nonetheless. It clarifies reporting lines, defines accountability, and gives a framework for decision ownership. But it only tells you who reports to whom. It does not tell you who list...

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The Numbers Do Not Speak for Themselves analytics change manager practitioner Mar 15, 2026

Written by Ed Cook and Roxanne Brown

There is a persistent and dangerous fiction in business: that numbers speak for themselves. They do not. Numbers sit there, inert, until a person with context and judgment converts them into meaning. A spreadsheet full of survey scores does not tell you whether ...

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If You Can Conceive of It, You Can Calculate It analytics change leadership practitioner Mar 09, 2026

Written by Ed Cook and Roxanne Brown

For months, it has seemed clear that we have been heading for something significant with AI, specifically Large Language Models (LLMs). Some say a revolution. Some say a bubble. Likely some of both.

Perhaps the “something significant” remains unclear, but somet...

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For Data Collection, "When" Matters Just as Much as "What" analytics change practitioner Mar 06, 2026

Written by Ed Cook and Roxanne Brown

You’ve formed a great hypothesis and selected just the right change metrics. Now you begin to Collect the Data, right? Not quite yet. When you Collect the Data is as important as what you collect. In the first of our four phases of Data-Driven Change Management,...

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How to Use Surveys to Grow Joy at Work analytics change practitioner Feb 22, 2026

Written by Ed Cook and Roxanne Brown

The survey lands in the employees’ email boxes, and you can almost hear the rise of groans across the office. Another survey, another extraction of brain power with too rarely something in return.   Managers often think of surveys as an easy way to get clean dat...

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Not all data are created equal analytics change practitioner Jan 31, 2026

Written by Ed Cook and Roxanne Brown

We live in a world awash in data. Most of us walk around with devices that are radiating and receiving signals from cell towers, satellites, Bluetooth, near field readers, and more. Organizations have inputs from clients and suppliers and operations. There is no...

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Start with a Question or Hypothesis analytics change practitioner Jan 25, 2026

Written by Ed Cook and Roxanne Brown

There is an insidious problem that pervades many attempts to analyze business progress. Somewhat counterintuitively, this problem grows as the availability of data increases. The impact is dramatic. Analysis stalls and initiatives can fail because the insight is...

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Measuring Belonging analytics change joy research May 25, 2025

Written by Ed Cook

One of the Ten Dimensions of Joy at Work is  Belonging. It is one of the more obvious dimensions, who doesn’t want to belong; however, measuring belonging is not as obvious. Although we believe there is much that humans can simply intuit about joy attributes, such as belong...

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How can I reduce the risk to my change goals? analytics change leadership Aug 24, 2022

Written by Roxanne Brown

When we’re seeking behavior change in the workplace, measuring it can seem like a really strange thing to do. Aren’t people too unpredictable to make measuring worthwhile? What exactly would we measure? What could it possibly tell us that we can act on? All valid concer...

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