Strella

Strella is an AI-moderated customer research platform. It runs in-depth interviews automatically and synthesizes transcripts in real time, turning research cycles that normally take weeks into a few hours. It supports market research, exploratory studies, concept testing, usability and mobile testing, and plugs into Claude and ChatGPT.

Strella is a customer research platform built around one premise: qualitative interviews do not have to be slow. Instead of scheduling, running and coding sessions by hand, teams launch a study, let an AI moderator conduct in-depth conversations with participants, and receive synthesized findings in a few hours rather than a few weeks. The pitch on the homepage is blunt about scale, promising the ability to run a hundred customer interviews by the next morning. The platform is aimed at product, design and marketing researchers at consumer-facing companies, plus the many teams that want customer input but lack a dedicated research function. Homepage logo placement covers brands across food, fintech, fitness, retail and consumer goods, which suggests the tool is positioned for organizations running frequent studies rather than one-off academic work. Strella frames its use cases in five buckets: market research, exploratory research, concept testing, usability testing and mobile testing. In practice the workflow is continuous rather than episodic. A team writes the study, the AI moderator runs interviews at whatever volume the participant pool allows, transcripts accumulate, and synthesis happens in real time so quotes and themes are available while the study is still live. Strella also ships as a connector inside Claude and ChatGPT, so a researcher can launch a study, search transcripts and pull quotes from a chat window without switching tools. Where it fits: Strella is a specialist platform competing with general-purpose research repositories and with manual interview programs run on video calls plus spreadsheet analysis. It leans on speed and volume rather than on replacing the researcher's judgment entirely, and the presence of exploratory, concept and usability testing modes suggests it expects to sit inside an existing research practice rather than replace it.