Even high-quality data products deliver little value when people cannot find them, understand them, or consume them in the tools they use. Catalogs often fail because they index everything and curate nothing.

This guide helps you make data products discoverable, understandable, and easy to use in real workflows. By the end of Step 4, you’ll have a usable “product shelf” where the right data shows up first and people can get to a first win quickly.

Introduction

Step 1: Make Data Products Findable for Data Users and AI Agents

Step 2: Make Data Products Easy to Consume and Understandable for Data Users and AI Agents

Step 3: Staff Domain Teams with Tools to Fulfill Usability

Step 4: Make Data Products Easy to Combine for Data Users and AI Agents

Step 5: Collect Improvement Feedback from Data Users and AI Agents

Bonus: Audience Q&A

FAQs on Data Product Usability