Sentiment Analysis

To analyze client sentiment, this skill scans Gmail and Google Calendar data to extract positive, neutral, and negative behavioral signals, producing a composite health score from 0-100 with detailed breakdowns.

A client relationship health score is a 0-100 metric calculated by combining sentiment signals from email thread language and meeting attendance patterns to detect relationship trends and identify improvement opportunities.

Yes, you can gauge client relationship health by extracting sentiment signals directly from your Gmail email threads and Google Calendar meeting patterns to classify communication tone and compute a composite score.

To get a sentiment breakdown before a review, run this skill with the client name. It analyzes recent communication patterns and email tone to provide a concise overview of underlying concerns.

Yes, email sentiment analysis scans recent client email threads to identify negative language and behavioral signals, classifying them alongside positive and neutral inputs to prevent relationship decay.

The best way to monitor relationship decay is analyzing meeting frequency, attendance, and client behavior over time from calendar data to detect negative trends and generate an actionable sentiment score.