Say hello to AI-automated thematic analysis 🗂️ Wondering's AI analysis now automatically codes and conducts thematic analyses of responses from your AI-moderated user research studies. Transform raw participant responses into actionable customer insights within minutes of completing your study.
Founder @ Wondering.com - Get actionable customer insights 16x faster with AI-led research.
Today, we’re introducing the next step in our journey toward AI tools that help customer-centric teams automatically collect user insights at scale: AI-automated thematic analysis. Over the past year, we’ve worked with many of you to understand how you use our AI analysis to speed up decision-making. We’ve also listened to the parts of the analysis process you can’t yet automate with Wondering’s AI, such as thematic analysis. As of today, Wondering’s AI automatically codes response data from your AI-moderated user interviews, prototype tests, live website tests, and surveys thematically. Here’s how it works: 🗂️ Automatic coding of response data: Our AI identifies and highlights parts of your response data (in 50+ languages!) with thematic codes. This breaks the data into small, individual pieces of evidence that can then be further analyzed to uncover meaningful themes and insights. 🗺️ Codes organized into clusters: Once we’ve coded your response data, we group the evidence into clusters based on patterns identified by our AI. This allows you to quickly spot common trends, such as mentions of specific topics, feature requests, and more. 💡 Generating high-level findings: Finally, the AI analyzes these clusters alongside your study brief and generates high-level findings. Each finding includes a concise summary, a description, and supporting quotes that serve as evidence. AI holds enormous potential to help research teams uncover customer insights and make faster, data-driven recommendations. We’re really excited for you to try it out!
