Thematic

AI-powered platform that transforms noisy open-ended text into accurate and layered insights.

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Description

Thematic is an advanced AI-powered platform designed to analyze and interpret large volumes of open-ended text feedback. It specializes in transforming unstructured data from various sources, such as surveys, reviews, and support tickets, into clear, accurate, and layered insights. This enables organizations to understand customer sentiments and underlying themes effectively, empowering data-driven decision-making across different departments.

The platform facilitates a deeper understanding of customer and employee experiences by automatically identifying key topics, sentiments, and trends hidden within text. By providing tools for connecting data sources, tagging themes, exploring analytics, and generating specific answers, Thematic helps businesses save significant time on manual analysis. It supports teams in areas like customer experience, product development, contact center operations, marketing, and compliance to quickly identify improvement areas, validate hypotheses, and act on emerging trends to enhance overall performance and customer satisfaction.

Key Features

Connect: Pipe in and combine feedback from various sources with one-click integrations and automatic data redaction.
Tag and Theme: Uncover themes with AI, automatically tagging feedback with themes and sentiment as they emerge, and quantify repeated themes.
Explore Insights: Analyze customer feedback through filters, drill down to raw data, and utilize powerful analytics and visualizations.
Thematic Answers: Get specific insights in seconds from your feedback data using LLM-powered Q&A.
Workflows: Get insights to the right people fast by pushing data and triggering automated workflows across systems.
Conversational Analytics: Extract intelligence from every customer interaction to understand behavior and satisfaction.
Thematic Generative AI: Leverage generative AI for a faster path to reliable and validated insights from feedback.

Use Cases

Insights & Research: Uncover accurate insights and narratives from structured and unstructured data at scale.
Customer Experience Improvement: Identify areas for VoC improvement, prioritize issues by impact, and build customer empathy.
Contact Center Operations Analysis: Diagnose call drivers, volumes, CSAT, sentiment, and detect resolution efficiency.
Product Experience Enhancement: Inform feature development and bug resolution by analyzing product-related feedback.
Voice of Employee Analysis: Gain rich insights from employee feedback to power people strategy.
Marketing Message Optimization: Identify resonant messaging for audience segments and personalize campaigns.
Compliance & Risk Mitigation: Continuously detect complaints and warning signs across channels to reduce risk.