FEATURED POST

February 6, 2023

MainStreet Macro: Deciphering January data

The start of the year often brings confusing economic data, and this January was no exception. Extreme weather across most of the U.S. muddled the picture even more. Here’s a guide to making sense of last month’s numbers.
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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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