Convo

Convo is an AI-moderated and analyzed qualitative user research platform. Get the depth of interviews at the scale of surveys.

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Description

Convo is an advanced AI-powered platform designed for qualitative user research at scale. It empowers teams to conduct extensive interviews, simulating natural voice conversations with an AI interviewer whose persona can be customized. This approach allows businesses to gather rich, in-depth insights from thousands of users simultaneously, significantly reducing the time and cost typically associated with traditional research methods.

The platform offers instant analytics, immediately synthesizing qualitative data after each interview to identify key themes, segment user personas, and generate shareable highlight reels. Convo also supports concept testing with prototypes, images, or videos, and allows users to upload existing transcripts for analysis. With features like an embedded widget for real-time feedback and robust privacy compliance (GDPR & AI Act), Convo helps organizations accelerate their research cycles, enhance user understanding, and confidently build products that meet user needs.

Key Features

AI-Moderated Interviews: Conduct large-scale qualitative research with customizable AI voice agents, enabling natural conversations with users.
Instant Analytics & AI Data Synthesis: Immediately analyze qualitative data post-interview, extracting key insights, themes, user personas, and creating highlight reels.
Concept Testing: Gather rapid feedback on new concepts, designs, or messaging by showcasing prototypes, images, or videos to users.
Embedded Widget: Collect real-time feedback from users as they interact with your product to identify and address usability issues.
Upload Existing Transcripts: Utilize the analytics engine to synthesize insights from previously conducted interviews, regardless of the source.
Audio & Video Recordings: Capture rich user reactions and interactions, allowing for detailed review and sharing of key moments.
Advanced Analytics (Enterprise Feature): Analyze users’ body language using computer vision models for additional context beyond transcripts.
Mobile Ethnography: Capture long-term, real-world user experiences in real-time through photos, videos, and voice for authentic insights.