Outset is an AI-moderated research platform that conducts and synthesizes qualitative interviews at scale, delivering insights faster and cheaper than traditional methods. It uses advanced language models to run video, audio, or text interviews, supporting over 40 languages and integrating with platforms like User Interviews and Prolific for participant recruitment. Companies like Nestlé and Microsoft use it to test concepts, understand user motivations, and gather feedback on prototypes.
The AI-Moderated Conversations feature enables dynamic, human-like interviews with up to 10 follow-up questions per topic, ensuring deep insights. Automatic Synthesis analyzes transcripts, identifying themes, counting frequencies, and extracting quotes. Stimulus Testing allows users to share images, videos, or prototypes for immediate feedback, with participants able to share screens for usability tests. The platform supports multilingual interviews, making it ideal for global research. Recruitment is streamlined through built-in sourcing tools or external panels.
Outset is significantly faster than traditional research, with users reporting up to 81% cost savings and projects completed in days instead of weeks. However, the platform’s reliance on AI may limit its ability to capture emotional nuances. The interface can be complex for new users, and pricing details require direct inquiry. Compared to Dovetail, which focuses on analysis but not interview automation, or Lookback, which specializes in usability but lacks scale, Outset offers unique automation and speed.
The platform suits high-impact research teams needing quick, qualitative data. Its ability to handle hundreds of interviews simultaneously is a key strength. For best results, create a clear discussion guide and test with a small group before scaling up.