revenue-operations

1# Revenue Operations
2 
3Pipeline analysis, forecast accuracy tracking, and GTM efficiency measurement for SaaS revenue teams.
4 
5> **Output formats:** All scripts support `--format text` (human-readable) and `--format json` (dashboards/integrations).
6 
7---
8 
9## Quick Start
10 
11```bash
12# Analyze pipeline health and coverage
13python scripts/pipeline_analyzer.py --input assets/sample_pipeline_data.json --format text
14 
15# Track forecast accuracy over multiple periods
16python scripts/forecast_accuracy_tracker.py assets/sample_forecast_data.json --format text
17 
18# Calculate GTM efficiency metrics
19python scripts/gtm_efficiency_calculator.py assets/sample_gtm_data.json --format text
20```
21 
22---
23 
24## Tools Overview
25 
26### 1. Pipeline Analyzer
27 
28Analyzes sales pipeline health including coverage ratios, stage conversion rates, deal velocity, aging risks, and concentration risks.
29 
30**Input:** JSON file with deals, quota, and stage configuration
31**Output:** Coverage ratios, conversion rates, velocity metrics, aging flags, risk assessment
32 
33**Usage:**
34 
35```bash
36python scripts/pipeline_analyzer.py --input pipeline.json --format text
37```
38 
39**Key Metrics Calculated:**
40- **Pipeline Coverage Ratio** -- Total pipeline value / quota target (healthy: 3-4x)
41- **Stage Conversion Rates** -- Stage-to-stage progression rates
42- **Sales Velocity** -- (Opportunities x Avg Deal Size x Win Rate) / Avg Sales Cycle
43- **Deal Aging** -- Flags deals exceeding 2x average cycle time per stage
44…