Collect Less: Data Minimization Explained

Data minimization is a fancy name for a simple habit: only collect the data you actually need.

Here's the logic. Every piece of data you collect is a piece of data you have to protect, store, and answer for. A form that asks for ten fields when the job needs three isn't thorough. It's a liability wearing a costume.

Try this with your team. Pull up one intake form, one signup flow, one spreadsheet. For each field, ask: what decision does this serve? If nobody can answer, that's your sign. Remove it, or stop collecting it.

This habit pays off twice. First, you hold less sensitive information, so there's less to lose if something goes wrong. Second, your AI projects get cleaner inputs, because every field that survives has a reason to exist.

Collect less. Protect what you keep. Delete the rest.

I explain frameworks; I don't give legal counsel.