Skill UI

Guides product and growth teams through evaluating whether to scale, test, or kill acquisition channels using unit economics (CAC, LTV, payback), customer quality (retention, NRR), and scalability indicators for data-driven go-to-market budgeting.

Assess proposed pricing moves by analyzing ARPU/ARPA shifts, conversion and churn risks, NRR/expansion effects, and CAC payback to decide whether a price increase, new tier, discount, or add-on should ship.

Framework for product leaders to calculate SaaS revenue and retention KPIs (MRR, ARR, churn, NRR, quick ratio) so they can diagnose growth, product-market fit, or churn risks and share accurate signals with stakeholders.

Provides revenue leadership playbooks for B2B SaaS CROs, covering forecasting, pipeline health, pricing, NRR/GRR cohorts, and team scaling to design predictable, board-ready revenue engines.

Guides GTM measurement for AI products by outlining revenue, efficiency, pipeline, retention, and funnel metrics, aligning dashboards with attribution models and weekly reviews so founders and revenue leaders monitor ARR, CAC, TTFV, NRR, and cost signals without implementation detail.

This skill provides strategic guidance for CCOs and founders in designing advanced customer success operations. It covers honest retention decomposition (analyzing GRR vs NRR), developing differential customer segmentation strategies based on ICP fit, modeling optimal CS team coverage (pooled vs. named), and mapping the ideal CS organizational structure. Ideal for strategic planning and business resource allocation.

This tool provides a comprehensive, "pipeline-paranoid" interrogation of a sales plan. It analyzes critical growth metrics—including revenue coverage, win rate trends, NRR decomposition, ramp time, and discount discipline—to surface potential operational gaps before they become crises. Use before setting quarterly targets or scaling teams.

A sophisticated tool for commercial leaders preparing board-ready forecasts. It goes beyond single-number projections by decomposing pipeline into commit, best-case, and pipe-only tiers. It also projects cohort-level Net/Gross Revenue Retention (NRR/GRR) to detect leaky cohorts and scores per-stage funnel confidence, ensuring all assumptions are explicit for executive review.

This skill generates a comprehensive, structured churn analysis, moving far beyond simple headline rates. It meticulously separates avoidable vs. unavoidable customer losses, identifies high-risk segments (by tier, cohort, etc.), calculates critical metrics like Net Revenue Retention (NRR), and pinpoints actionable early warning signals. The output culminates in prioritized, data-driven intervention recommendations to improve customer retention.