A highly skilled researcher with much context and experience can likely spot nuanced insights better than AI. However, it can take days of manual work to dig through interview transcripts to get to these nuanced insights. And we know the cookie-cutter responses you might get from dumping data to chatGPT isn't sufficient.
UserCall's theme extraction achieves 85-95% agreement with expert human coders across most domains. The system uses advanced contextual understanding to identify meaningful patterns while reducing researcher bias. You maintain full control to review, refine, and adjust the AI-suggested themes, combining the efficiency of automation with human expertise.
UserCall’s AI goes through each transcript line by line to automatically tags key insights, detects themes, and highlights patterns so you can instantly make data-driven decisions. It's a tool to help accelerate the work of researchers and product leaders.