Resources
Infrastructure
Intelligence
Tools, data, and documentation to help service businesses diagnose and repair revenue leakage with stronger AI systems and front-door automation.
FAQ Subroutine
Research & Methodology Core
Executive Summary
- •All data models are built on aggregated metrics from active Protocol installations.
- •Benchmarks reflect 'gold standard' performance across professional service verticals.
- •The Rage Number calculation algorithm is proprietary and continuously updated.
Common questions
What is the basis for the 5 Silent Signals?
The framework was developed through systematic analysis of intake infrastructure failures across hundreds of service businesses, identifying the consistent patterns where revenue exits before a transaction occurs.
Are the case studies representative of typical results?
Results vary by industry, search volume, and baseline firm health. The 'Average Score at 90 Days' provides the most statistically relevant expectation for a committed installation.
Architectural Constraints
- •Our internal research is provided for contextual reference, not guaranteed forecasting.
- •We do not publish exact client names in public case studies to protect their competitive advantage.
Vocabulary of Loss
Diagnostic Data
Baseline metrics captured during the initial Front Door Audit.
Systemic Hardening
The process of eliminating technical and human friction from the intake funnel.