Before you commit engineering time to an AI feature, find out which direction is actually useful and earns trust.
When you need this
You have 2–3 possible directions for an AI feature and no evidence for which one to build.
The feature touches a workflow where a wrong or unclear answer costs more than a slow one.
You need buy-in from engineering or leadership before committing a roadmap slot.
What's included
A within-subjects test across 2–3 concept directions, including access to hard-to-reach technical users (DBAs, SREs, and similar specialist roles) where relevant
The trust and interaction principles the winning direction needs to carry through to build
A clear, defensible recommendation for which direction to build
This is the same method used to establish the interaction model and trust principles for AI Troubleshooting, a Google Cloud AI feature, before a single line of code shipped. View that case study →
