Data in Title IX and Civil Rights Offices

For anyone who’s worked with me, you know this already: data integrity is one of my soapboxes.

Good data isn’t just administrative housekeeping. It’s strategic. Even in smaller or low-volume operations, clean, consistent data:

• Gives you real insight into your community
• Helps you identify patterns of misconduct
• Supports defensible compliance efforts

In other words, it protects people—and institutions.

Where should you start?

I’d love to say, “Buy a case management system.” Sometimes that’s the right answer. But sometimes the cost/benefit isn’t there. Sometimes budgets are tight. And sometimes you just need to build something that works now.

That’s where Excel comes in.

The risk? Excel leaves you to your own devices. If you can casually explain VLOOKUPs or build dropdown lists with Data Validation, you’re ahead of the game. If your eyes just crossed reading that sentence, don’t worry—I’ve outlined three foundational principles in the attached document that will immediately improve your data quality.

Three core building blocks of clean data:

1. Categorize with intention
Adding new categories on the fly—color-coding, creating side lists—feels efficient. It actually breaks your data. Structure matters.

2. Name things consistently
Using Data Validation to create dropdown lists ensures policies, investigators, outcomes, and allegations are labeled consistently. Consistency is what makes analysis possible.

3. Separate cases with multiple parts
Typing a list of allegations into one cell is tempting. But if you want meaningful trend analysis or clean annual reporting, each allegation needs its own row. Yes, it’s more work. It’s also what makes your data usable.

If you’re responsible for civil rights, Title IX, HR, or compliance functions, clean data isn’t optional—it’s foundational.

If you’d like to talk through how to structure your data for better analytics and reporting, I’m always happy to connect.

Access the template here with examples discussed in this post.

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