The agent calculates the MRR-weighted adoption rate for a newly shipped feature and compares retention metrics between adopters and non-adopters, providing a clear view of the feature's business value.
The agent calls revenue_weighted_funnel and product_paths tools within the AIOProductOS MCP to analyze user behavior after a specific event. It joins adoption data with account-level revenue and retention metrics to determine if the feature is driving positive business outcomes, answering complex cross-system questions that single-tool MCPs cannot.
- Category: Data and analysis
- Effect: Read-only
- MCP servers: AIOProductOS MCP (https://koskamo.com/explore/aioproductos-mcp)
- Source: Spine-MCP vs tool-MCP: why product MCPs go wrong (https://aioproductos.com/blog/spine-mcp-vs-tool-mcp)
- Source quote: "Which accounts adopted it, what's the MRR-weighted adoption rate, and has retention shifted vs non-adopters?"
- Playbook page: https://koskamo.com/explore/use-cases/analyze-feature-adoption-impact-on-mrr-and-retention
Prompt: We just shipped feature Z. Calculate the MRR-weighted adoption rate and tell me if retention has shifted for adopters vs non-adopters.