Part 2: Using AI to catch taxonomy issues early

Originally posted on LinkedIn in Jul’25

AI in Product Management workflows. Not Someday. Today.
Part 2: Using AI to catch taxonomy issues early

In my last post, I shared how AI can speed up product tagging and take repetitive work off your team’s plate. This time I’m shifting focus to taxonomy, the part of the system that silently breaks UX if you’re not watching it.

Taxonomy doesn’t get flagged in retros. But when it's off, everything downstream suffers - filters, search, discoverability.

Most teams only spot the problem after users start bouncing.

One way to catch it sooner?
Use GPT directly inside a Google Sheet.

Install "GTP for Sheets and Docs"

Try =GPT("Suggest a category for: " & A2)
Or =GPT("What attributes apply to: " & A2)

Run your product titles through it and you'll quickly see:
- Products that don't fit your current structure
- Inconsistent labeling
- Gaps in how you're categorizing items

It’s a simple way to pressure-test your taxonomy at scale, without needing new tooling or waiting for dev capacity.

This is just one way. You can also feed GPT examples of your existing taxonomy and use it to audit or stress-test your structure in more complex ways.

Part 3 drops soon.

#GenAIProductManagement #ProductOps #Taxonomy #AppliedAI #MetadataDesign #ScalingProducts #ProductStrategy #ProductLeadership