AI product analytics
Rumbleo lets product teams move from a change in activation or retention to related steps, behaviors, and cohorts without being limited to a fixed dashboard
Shared activation and adoption definitions
Exploration across funnels, events, and cohorts
Clear separation between evidence and hypotheses
Conversation helps narrow where a change occurs and which additional analysis the team needs before deciding
Events need a stable taxonomy, while metrics must define windows, populations, and success criteria
The agent can apply the function's analytical criteria, but it cannot change permissions or receive database credentials
Each example starts with a real question and uses the metrics and dimensions the company has already defined
Product
Compare steps and periods and segment by channel, plan, or user type
Product growth
Explore observed relationships without automatically presenting them as causation
Customer success
Identify segments and accounts when access and the model permit that level of detail
It needs read access to the data and clear definitions for the team's metrics. If a fact or definition is missing, Rumbleo does not present it as known
Yes. Each function can have its own analytical instructions without changing company-wide permissions or shared definitions
No. Rumbleo helps investigate and prepare a data-based readout, but important decisions remain the responsibility of people
A demo built around a decision
We will use your events and definitions to frame a reproducible investigation oriented toward a decision