Voice-to-voice AI user interviews
AI-powered research platform that accelerates qualitative data collection and analysis through automated moderation and synthesis.
About Voice-to-voice AI user interviews
Outset is an AI-driven research platform designed to streamline qualitative data collection and analysis. Utilizing advanced large language models, it simulates real interview scenarios, enabling researchers and product teams to gather and synthesize video, audio, and usability data from hundreds of participants rapidly. This approach transforms raw conversations into actionable themes, quotes, and insights within hours, significantly reducing traditional research timelines.
How to Use
Upload your discussion guide, select participants from your existing panel or Outset's network, and let the AI conduct interviews. The system then processes the data to generate summaries, key themes, and highlight reels for quick insights.
Features
- Unmoderated testing with screen sharing and multimedia support
- AI-powered synthesis and highlight creation
- Customizable AI interviewer personas
- Automated, AI-moderated interviews
- Supports video, voice, and text data collection
- Flexible participant recruitment options
Use Cases
- User Experience and Usability Testing
- Market Segmentation and Persona Development
- Brand Perception Research
- Product Innovation and Concept Testing
- Market Strategy Optimization
- Creative and Concept Validation
Best For
Pros
- Speeds up qualitative data collection
- Supports large-scale research with hundreds of participants
- Offers customizable interview workflows
- Reduces research expenses
- Leverages AI for quick insight generation
- Enables multimodal data collection (video, audio, text)
Cons
- Possible loss of nuanced responses compared to human interviews
- AI reliance may introduce bias
- Requires well-crafted discussion guides for accuracy