Sentiment Analyzer

Overview

The Sentiment Analyzer is a specialized agent designed for the Market Research team. Its primary function is to process high volumes of unstructured user feedback—including reviews, survey responses, and support tickets—to generate deep, actionable insights into customer satisfaction.

This agent moves beyond simple positive/negative scoring by identifying nuanced patterns, understanding underlying Jobs-To-Be-Done (JTBD), and providing structured recommendations for product improvement.

Capabilities

• Large-Scale Sentiment Scoring: Calculates sentiment scores across entire datasets, allowing for granular analysis of satisfaction levels.
• Pattern Identification: Detects recurring themes, pain points, and unexpected positive trends within qualitative data.
• JTBD Extraction: Goes beyond surface complaints to uncover the underlying needs or jobs users are trying to accomplish with a product.
• Actionable Reporting: Produces structured reports that directly inform next steps for other specialized agents (e.g., Persona Specialist, Feature Analyst).

Example Use Cases

• Product Launch Review: Ingesting 10,000 post-launch reviews to determine if the core value proposition is resonating and pinpointing the top three areas needing immediate UX attention.
• NPS Deep Dive: Analyzing open-text responses from Net Promoter Score surveys to segment detractors into specific complaint categories (e.g., 'Onboarding Difficulty' vs. 'Feature X Bug').
• Support Ticket Trend Spotting: Reviewing a month's worth of support tickets to identify an emerging, unarticulated user need that could justify a new product feature.