FEATURED POST
March 6, 2023
MainStreet Macro: The goods on goods
We all know by now that the labor market is tight. But it’s also fragmented, with different sectors responding differently to labor shortages and higher interest rates. As Main Street employers scout for workers, for example, big tech companies continue to announce big layoffs.
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What the Past Won’t Tell Us About the Pandemic “Recession”
by ADPRI Team
Early on, it has become clear that the magnitude and speed of job loss are greater than any recession we’ve experienced in modern U.S. history. The million-dollar question on most people's minds is how much of this job loss will come back?
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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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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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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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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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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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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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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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