How to Build Allyship into Employee Resource Groups (ERGs)

How to Build Allyship into Employee Resource Groups (ERGs)

In the world of workplace culture, we often talk about Employee Resource Groups (ERGs) as the heartbeat of inclusion. They are the safe spaces where underrepresented talent can find community, recharge, and lead. But if we want our ERGs to move from...
How to Make a Decision When Others Are Meddling

How to Make a Decision When Others Are Meddling

As a kid, I always loved reading and writing. I usually had a book in one hand and a pad of paper and a pen in the other hand. When I got my first typewriter (yes, I am that old), I would spend hours writing stories and binding them in notebooks. I was an introvert...
Addressing Intersectionality in Workplace Culture

Addressing Intersectionality in Workplace Culture

Leaders often make the mistake of checking the boxes on gender and race for diversity and inclusion, but diversity is much more than those identities. When we talk about workplace culture and intersectionality, we move beyond the surface idea of diversity to deeper...
The Future of DEI is Moving From Checkboxes to Workplace Culture

The Future of DEI is Moving From Checkboxes to Workplace Culture

For years, many organizations treated Diversity, Equity, and Inclusion (DEI) as a “nice-to-have” project or a series of one-off events. We’ve seen the unconscious bias training sessions that led to little change, the celebratory heritage months that felt more like...
10 ERG Best Practices From Business Leaders

10 ERG Best Practices From Business Leaders

To build a workplace culture where everyone feels seen, heard, and belongs, we must move beyond the endless array of activities and focus on strategic impact. ERGs are a way to demonstrate the organization’s commitment to a healthy workplace culture of inclusion...
How to Write an Inclusive AI Policy

How to Write an Inclusive AI Policy

Artificial Intelligence (AI) is one of the biggest pivot points we’ve ever faced. I often hear from leaders who are caught between two extremes: the “AI-vangelists” who want to automate everything and the “AI-skeptics” who fear it’s a black box...
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