customer-sentiment-decoder

What problem does it solve?

Decodes the gap between what customers say, what they do, and what the data shows to reveal underlying sentiment and actionable insights.

Core Features & Use Cases

• Signal-to-insight decoding that surfaces true sentiment when words and actions diverge.
• Pattern identification that maps common divergence patterns (Pattern 1-5) and suggests concrete investigations.
• Structured output that feeds CRM notes, playbooks, and escalation decisions.

Quick Start

Provide the signals you observe: what the customer says, what they do, and what the data shows, and I will return a structured sentiment decode.