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January 24, 2022

MainStreet Macro: Should I Stay or Should I Go?

It’s been called the Great Resignation, the Great Reshuffle, and the Great Reassessment. But for some workers and the companies trying to hire or retain them, things don’t feel so great. A record 4.5 million workers in the U.S. quit their jobs in November of last year, according to the Bureau of Labor Statistics. Companies are struggling to find and hire people. And the competitive market and rising inflation have employers puzzling over how to fairly compensate both new hires and their legacy employees. For many workers, wages are a determining factor in the decision whether to stay or go. Employers are figuring out whether they should pay to retain talent and, if so, how much. With these questions in mind, the ADP Research Institute analyzed the wages of 18 million workers during the last three months of 2021. Here’s what we found.
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Latest posts

May 14, 2019

Evolution of Pay Work Status and Payroll

This survey was conducted with nearly 7000 employers and employees across the globe to assess how they view pay, what's important, how payment methods are changing and what the future might look like.
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May 13, 2019

What Drives Global Engagement?

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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March 26, 2018

The Business Case for Strengths

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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December 1, 2017

Data Fluency Series #5: Case Study

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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November 23, 2017

Data Fluency Series #4: Do Current HR Tools Give Us Good Data?

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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November 14, 2017

Data Fluency Series #3: Variation and Validity

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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November 7, 2017

Data Fluency Series #2: How to Get Reliable Ratings Data

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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October 31, 2017

Data Fluency Series #1: How to Tell Good Data from Bad Data

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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