Employee sentiment rose in May: Get the latest from the ADP Research Institute’s Data Lab.

FEATURED POST

May 22, 2024

Long-distance work and compensation

Long-distance work didn’t begin with the coronavirus lockdown; people were collaborating between offices well before then.
Read more
Filter by:
Architecture of a transformer built by ADP Research Institute that predicts wage percentiles from job title. Model not used in any ADP product.
Architecture of a transformer built by ADP Research Institute that predicts wage percentiles from job title. Model not used in any ADP product.

June 29, 2023

When using AI to predict pay, context matters

by Tim DeckerBen Hanowell

We built an algorithm to predict wages from job titles. Our findings reveal the promise and pitfalls of artificial intelligence as a way to study the labor market.
Read more

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