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 does not change permissions or access the analytical connector directly.
Each example starts with a business question and requires the corresponding metrics and dimensions to exist in the semantic model.
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 an authorized analytical connection and a semantic model describing the relevant metrics, dimensions, and relationships. Rumbleo does not create facts that are not present in the available data.
Yes. It can be configured with function-specific instructions and criteria while preserving the organization's shared policies, permissions, semantics, and limits.
No. Rumbleo helps explore and prepare a data-grounded readout. Material decisions still require the judgment and accountability of the appropriate people.
A demo built around a decision
We will use your events and definitions to frame a reproducible investigation oriented toward a decision.