revenue-operations

# Revenue Operations Pipeline analysis, forecast accuracy tracking, and GTM efficiency measurement for SaaS revenue teams. > **Output formats:** All scripts support `--format text` (human-readable) and `--format json` (dashboards/integrations). --- ## Quick Start ```bash # Analyze pipeline health and coverage python scripts/pipeline_analyzer.py --input assets/sample_pipeline_data.json --format text # Track forecast accuracy over multiple periods python scripts/forecast_accuracy_tracker.py assets/sample_forecast_data.json --format text # Calculate GTM efficiency metrics python scripts/gtm_efficiency_calculator.py assets/sample_gtm_data.json --format text ``` --- ## Tools Overview ### 1. Pipeline Analyzer Analyzes sales pipeline health including coverage ratios, stage conversion rates, deal velocity, aging risks, and concentration risks. **Input:** JSON file with deals, quota, and stage configuration **Output:** Coverage ratios, conversion rates, velocity metrics, aging flags, risk assessment **Usage:** ```bash python scripts/pipeline_analyzer.py --input pipeline.json --format text ``` **Key Metrics Calculated:** - **Pipeline Coverage Ratio** -- Total pipeline value / quota target (healthy: 3-4x) - **Stage Conversion Rates** -- Stage-to-stage progression rates - **Sales Velocity** -- (Opportunities x Avg Deal Size x Win Rate) / Avg Sales Cycle - **Deal Aging** -- Flags deals exceeding 2x average cycle time per stage - **Concentration Risk** -- Warns when >40% of ...