Marcus Buckingham

Marcus Buckingham is a global researcher and thought leader focused on unlocking strengths, increasing performance, and pioneering the future of how people work. Building on nearly two decades of experience as a senior researcher at Gallup Organization, he has challenged entrenched preconceptions about achievement to get to the core of what drives success for individuals, teams, and organizations.
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Data Spotlight: “The Great Resignation” and Healthcare

by Marcus Buckingham

ADP Research Institute has done extensive research on Engagement, trust, and employee’s intent to leave, and we’re able to spotlight the data we have from the healthcare industry to better understand how to create a safe and productive environment for healthcare workers.
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What Drives Global Engagement?

by Marcus Buckingham

There is a tendency to place a lot of value on talent acquisition within organizations, but in doing so we bypass a more important question: how can we get the most out of the people that already work for us?
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The Business Case for Strengths

by Marcus Buckingham

It’s the single most important driver of team performance – and yet, less than 2 out of 10 employees strongly agree that they get to use their strengths at work every day.
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Data Fluency Series #5: Case Study

by Marcus Buckingham

Let’s show you what good data looks like, and what we went through to get it to see what happens on the world’s most productive teams.
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Data Fluency Series #4: Do Current HR Tools Give Us Good Data?

by Marcus Buckingham

We know that a good HR tool will have reliability, variation, and validity. Let's look at a few common HR tools and see how they stack up.
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Data Fluency Series #3: Variation and Validity

by Marcus Buckingham

If you are using a tool to measure people data, there are two things it has to do: It has to reveal actual variation in the real world, and that variation has to validly relate to something else.
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Data Fluency Series #2: How to Get Reliable Ratings Data

by Marcus Buckingham

How do we know that the people data we’re collecting is reliable? How do we know that it’s measuring what we say it’s measuring? And can you really measure something like performance in another person?
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Data Fluency Series #1: How to Tell Good Data from Bad Data

by Marcus Buckingham

Bad data is a pervasive problem in our world, and especially in the world of work. People are being promoted and fired because this faulty data that actually tells us nothing about our employees.
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