Data Lab

FEATURED POST

November 20, 2024

The workforce that roared

Leisure and hospitality workers have emerged as pay winners since the pandemic.
Read more
Filter by:

December 1, 2017

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.
Read more

November 23, 2017

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.
Read more

November 14, 2017

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.
Read more

November 7, 2017

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?
Read more

October 31, 2017

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.
Read more