Customer Sentiment Agent

To quantify customer sentiment, input an account name to generate a comprehensive report. The Skill analyzes Backstory MCP data to produce a 0-10 overall sentiment score with a detailed breakdown across five components.

Analyzing customer sentiment requires Backstory MCP data, specifically orchestrating intelligence from find_account, get_account_status, get_recent_account_activity, account_company_news, and ask_sales_ai_about_account.

The sentiment scoring mechanism calculates a 0-10 overall score using a weighted formula. It classifies sentiment into defined categories and breaks down the score across Communication Sentiment, Engagement Level, Strategic Value Recognition, Technical Satisfaction, and Risk Assessment.

Yes, you can generate a stakeholder report by simply providing an account name. The Skill orchestrates parallel intelligence gathering across multiple Backstory MCP data sources to produce a cohesive report with actionable recommendations.

The actionable recommendations include practical next steps and reminders for strategic follow-ups. These are delivered alongside the quantified sentiment score and evidence gathered from recent account activity and company news.

The sentiment analysis is limited to accounts and data available within the Backstory MCP environment. It relies on the orchestration of five specific Backstory data sources and cannot analyze accounts outside this integrated tech stack.