FEATURED POST

November 28, 2022

MainStreet Macro: Robots need a human hand

Before the holiday break, I left MainStreet Macro readers with a bit of a cliffhanger. We had just heard about layoffs at some of the biggest technology companies, a sector that has seen a lot of growth over the past several years.
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Latest posts

May 19, 2020

What the Past Won’t Tell Us About the Pandemic “Recession”

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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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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