Analyze feature adoption impact on MRR and retention
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.
How it works
Read-onlyData and analysis
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.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
Prompt for Analyze feature adoption impact on MRR and retention
We just shipped feature Z. Calculate the MRR-weighted adoption rate and tell me if retention has shifted for adopters vs non-adopters.MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
Which accounts adopted it, what's the MRR-weighted adoption rate, and has retention shifted vs non-adopters?Spine-MCP vs tool-MCP: why product MCPs go wrong