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cro-advisor

Forecast B2B SaaS revenue by modeling ARR, churn, and NRR from CSV inputs.

Updated Apr 16, 2026
Search Tags:#pricing-strategy#cro#revenue-forecasting#nrr#board-reporting#sales-model-design
One-click install
npx skills add https://github.com/devCharuzu/philfida-taskmanage --skill cro-advisor-devcharuzu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cro-advisor
Source: https://github.com/devCharuzu/philfida-taskmanage/tree/main/.windsurf/skills/cro-advisor
Command: npx skills add https://github.com/devCharuzu/philfida-taskmanage --skill cro-advisor-devcharuzu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Revenue leaders struggle to forecast growth, price strategically, and align sales motion with ARR, MRR, and NRR targets.

Core Features & Use Cases

  • Forecasting frameworks and model templates for ARR/NRR, pipeline, and board-ready dashboards.
  • Pricing strategies and packaging design to optimize expansion and churn.
  • Sales model design, quota planning, and territory design for scalable revenue engines.
  • Use cases: designing revenue engines for 1M- to 100M-ARR, evaluating pricing, or planning expansion.

Quick Start

Run the included CLI scripts to generate the revenue forecast and churn analysis from the sample data.

Frequently Asked Questions about cro-advisor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I forecast ARR and NRR for B2B SaaS revenue engines?▼

Scenario-based forecasting models ARR, expansion, contraction, and churn trajectories to inform pricing strategy and quota design. It generates ARR waterfalls and retention metrics from input CSV data.

How do I generate an ARR waterfall from customer data?▼

Run the included Python-based CLI scripts with input CSVs containing customer or deal records to generate an ARR waterfall, retention metrics, and expansion opportunity analysis.

Can I use this for revenue modeling between 1M and 100M ARR?▼

Yes, the revenue modeling supports B2B SaaS companies scaling between 1M and 100M ARR, applying scenario-based forecasting to align pricing strategy and quota design with specific growth benchmarks.

Does scenario-based forecasting help with board reporting and pricing strategy?▼

Yes, scenario-based forecasting produces board-ready dashboards by projecting ARR trajectories and revenue health. The same models inform pricing strategy, packaging design, and quota planning for scalable growth.

What do I need to run the revenue forecasting scripts?▼

You need Python installed to run the included CLI scripts and an input CSV file containing your customer or deal data. The scripts process these inputs to generate revenue forecasts and churn analysis.

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