Product Management
15 connectors in this collection
AI Feature Adoption Analytics MCP
Calculate AI feature adoption rates, velocity, stickiness, and funnel efficiency.
AI Feature Discovery Analytics MCP
Measure and optimize how users find and engage with your AI features.
AI Feature NPS Impact Engine MCP
Quantify how AI features drive or drag your product's NPS.
AI Feature NSM Analyzer MCP
Calculates AI feature impact on North Star Metrics using correlation and leading indicators.
AI Feature Onboarding Analyzer MCP
Analyze AI feature adoption efficiency using funnel metrics and TTV analysis.
AI Improvement Velocity Tracker MCP
Quantify the speed and effectiveness of your AI model improvement cycles.
Cohort Retention Analytics MCP
Analyze cohort retention curves, average user lifetime, and benchmark performance against industry standards.
Feature Adoption Analytics MCP
Quantify feature success through adoption velocity, saturation estimates, and retention impact modeling.
North Star Metric Derivation MCP
Decompose high-level value into a structured North Star Metric hierarchy.
Product-Market Fit Diagnostic Engine MCP
Evaluates product maturity and market resonance using retention, sentiment, and growth signals.
Product Usage & Engagement Engine MCP
Analyze product stickiness, engagement scores, and user retention correlations.
Retention Curve Analyzer MCP
Analyze cohort retention curves to identify stability versus churn and compare against industry benchmarks.
Startup Feature Prioritization MCP
Prioritize product features using the RICE framework.
Startup Onboarding Effectiveness MCP
Quantify onboarding success by analyzing speed to value, completion rates, and retention.
User Research ROI Calculator MCP
Calculate the economic return and strategic value of user research investments.