What problem does it solve? Revenue teams at AI-native companies struggle to choose the right GTM metrics, build trustworthy dashboards, and run consistent review cadences, especially when AI cost structures and usage-based pricing break traditional SaaS measurement assumptions. ## Core Features & Use Cases - Metric Selection & Benchmarks: Provides target values for CAC payback, Magic Number, NRR, pipeline coverage, TTFV, and growth rates segmented by ARR stage and GTM motion (PLG, sales-led, agent-led). - Dashboard Architecture: Designs a three-tier dashboard hierarchy (board, executive, operator) with tool recommendations and anti-pattern fixes. - AI-Specific Measurement: Tracks AI cost of revenue, ROAI, usage-based consumption metrics, and data health scoring that traditional SaaS dashboards miss. - Use Case: A founder asks which metrics to track for a PLG motion; the skill recommends 5-7 core metrics with benchmarks, a weekly scorecard template, and a 30-45 minute review cadence. ## Quick Start Ask the agent to design a GTM metrics dashboard for your sales motion and ARR stage, including benchmarks and a weekly review scorecard.
