How does iDBQuery help product and growth teams?
iDBQuery helps product and growth teams answer questions about funnels, retention, activation and experiments in plain language, with every number cited. It joins your product database, analytics exports and spreadsheets into one live model so you investigate metrics without waiting on engineering.
Product and growth teams move fast and need answers about user behavior on their own schedule. iDBQuery connects your product database, event exports, billing data and spreadsheets into one live model you can query directly.
- Funnel and retention questions — ask about activation, conversion, churn or cohort behavior and get an answer in seconds.
- Investigate metric moves — when a number shifts, the Analyst agent drills through related data to find what changed, and shows the rows behind it.
- Experiment readouts — compare cohorts or variants without writing the SQL or pulling an engineer off roadmap work.
- Cited results — every figure traces to its source row, so you can trust a surprising metric before you ship a decision on it.
- Live dashboards — keep your core growth metrics current and shareable across the team.
Because iDBQuery queries sources in place with no pipeline to build, you skip the usual "can engineering pull this?" bottleneck. The semantic layer learns your event names and table conventions, so it answers in product terms from the start — turning a week-long data request into a seconds-long conversation.
Updated 2026-06-22