FREE Report: What Works? Evidence-Based Ideas to Increase DEI

Published by:
Joe Caccavale
May 15, 2020
min read

COVID-19 has resulted in an uncertain, challenging economic climate for many companies.

But, in the months ahead, the economy will recover and, businesses will be rebuilt...

We now have an opportunity to take a step back and rethink what kind of organisations and employers we want to be - this is the perfect time to make diversity and inclusion a reality.

That's why we’re thrilled to announce the launch of What Works - a report authored by prominent professors in psychology, sociology and the behavioural sciences at top universities as well as business leaders and strategists.

In the words of David Pedulla, associate professor of sociology at Stanford University and organiser of the report:

“Our goal with this report was to take the best research and empirical evidence about what works to increase DEI and distill it into clear steps for organisations  ... In the wake of this pandemic, there is a real opportunity for companies to rethink how they approach this set of issues, and I hope this report will serve as a key resource as they walk through that process.”

What Works: Evidence-Based Ideas to Increase Diversity, Equity, and Inclusion in the Workplace

What Works provides research-backed insights into how we can increase diversity in the workplace and reduce both discrimination and bias. The report aims to cut through the noise to deliver practical solutions that organisations want and need.

At a time when making progress on DEI issues may be more important than ever, What Works offers concrete tools for businesses to increase diversity and inclusion. Whether you're an employer, HR professional or D&I advocate, the report is brimming with evidence-based strategies for companies across any industry - from how to collect and analyse data to building managerial buy-in from the start.


Kate, our co-founder, co-wrote Chapter 4: Using Technology to Increase Fairness in Hiring, along with Frida and Kelly from pymetrics.

This chapter covers the pitfalls of traditional hiring practices, and how, when designed properly, technology can be used to reduce discrimination and negate bias.