The Mistake Companies Make When They Use Data to Plan Diversity Efforts

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Companies often wait to collect a lot of data before drawing conclusions — but that’s hurting underrepresented groups.

So, what can organizations do to better understand the experiences and outcomes of employees represented in small groups? Our research identifies four key steps companies can take to ensure they don’t fall victim to the faulty logic of small numbers. Small numbers are problematic in statistics because most analyses are based off a of a population. To draw conclusions about the full population, we must make inferences.

When you have small numbers, each loss, each hire, and each promotion matters. Small numbers can create uncertainty, but they don’t mean you can’t do analysis or take action. Instead of dismissing such trends, examine them and what they might mean about the organizational environment. Once an organization is aware that 15% of Black women are leaving, there are a number of questions to ask: Why this is happening? What can be done to change it? How does this affect those who remain? Interviewing people provides the opportunity to ask questions that are not picked up in the numbers. Gathering detail is crucial to provide context for a number like a 15% attrition rate, and can offer insights on potential interventions.

 

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The hidden information fallacy - the supermajority of all data in existence, is not digitally available. We are training our models on a cup of water from the ocean, as a substitute for the real thing. Dangerous.

Startups are having trouble getting financing, nevermind padding their employee roster with 'quiet quitters.'

Yes it is. It not that they don't know what there doing. It's because there is no real law to stop them. Mine had a worm in. and because they segment went everywhere. It would be better to ask me. All these business will be constantly appearing togethe. say ask first security.

Depends on what their collecting data for. It doesn't take all day to recognize sunshine. Don'tOverthinkIt

As one who’s been involved with DEI efforts for our community at my university, we don’t need more data to validate the challenges of our communities. Surveys after surveys with no actions don’t produce change.

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