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Why Your EDI Data Is Probably Wrong

Most organisations believe their workforce data gives them a reasonably accurate picture. It doesn't. Here's exactly why — and what you can do about it.

The system problem

Standard HR platforms cannot record multiple disabilities, handle intersectional ethnic identities, or capture socioeconomic background. The constraints are structural — not a matter of configuration.

The psychology problem

Social desirability bias is well-documented in survey research: people who believe they might be observed consistently report more positively than they would anonymously. Your internal surveys are systematically optimistic.

What "prefer not to say" really means

A high "prefer not to say" rate is not indifference — it is a trust signal. And it is worst among the groups whose data you most need. The guide explains the psychology in detail and shows how independent platforms address it.

WHAT'S IN THE GUIDE

  • The three structural limitations of standard HR platforms
  • Social desirability bias explained — and the evidence behind it
  • Why "prefer not to say" rates indicate distrust, not neutrality
  • A checklist for assessing your current data quality
  • How independent platforms address each problem
  • What accurate EDI data enables that inaccurate data doesn't
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