Turn interview transcripts, open-ended feedback, and unstructured text into evidence-linked themes automatically — without sacrificing methodological rigor.
Qualitative data analysis is the systematic process of examining non-numerical data — interview transcripts, open-ended survey responses, reviews, and field notes — to identify patterns, themes, and meaningful insights that quantitative methods alone can't capture. Usercall automates this process: it codes your data into themes, links every finding back to the specific quotes it came from, and lets you refine any code by hand when the AI's first pass needs a researcher's judgment.
Unlike most qualitative analysis tools, Usercall doesn't require a sales call to start. You can upload your data or run a live AI-moderated interview and see evidence-linked themes within minutes of signing up.
Our AI-powered platform transforms qualitative data analysis with advanced features designed for market researchers, UX, Product managers and business leaders who prioritize their customers and needs.
Usercall applies a consistent coding framework across your entire dataset, and every code is editable — so you can refine categories and rerun analysis until it matches your judgment as a researcher.
Yes — Usercall lets you fully customize coding frameworks and categories, and iteratively refine AI-generated codes so the analysis matches your specific research objectives.
The AI uses the surrounding context of each response to interpret ambiguous answers, rather than coding statements in isolation, to keep nuanced insights intact.
Your data is encrypted, and you control who on your team has access to it.
No — Usercall is self-serve. You can upload your data or run your first study and see AI-coded themes within minutes of signing up.