Ask Your Analytics: AI-Powered Product Insights
Get real answers from tools like Amplitude AI with natural-language queries — and build the event-taxonomy discipline that makes them trustworthy.
- Fix your event taxonomy before trusting AI answers: consistent event names, properties, and user definitions. Natural-language querying on messy instrumentation returns beautiful, wrong charts.
- Define your metric dictionary: write down exactly how retention, activation, and engagement are calculated, and align the AI tool's interpretations with it — 'retention' means three different things in most companies.
- Start questions small and verifiable: 'how many users completed onboarding this week?' — check the AI's answer against a known report before graduating to 'why did activation drop in August?'.
- Use anomaly detection and weekly digests as your early-warning system: let the AI surface what changed, then apply human investigation to the why — correlation from the model, causation from your judgment.
- Share answers as links, not screenshots: AI-generated charts with their query definitions attached keep teams aligned on what was actually asked, and make every insight reproducible.