Outset is an AI-moderated research platform that helps researchers and builders get qualitative data faster than ever before. It uses the latest LLM technology to simulate real interview experiences, allowing users to conduct and synthesize video, audio, and usability sessions with hundreds of participants at once. Outset enables deeper insights at scale, turning raw conversations into themes, quotes, and insights in hours instead of weeks.
Outset
AI-moderated research platform for faster qualitative data collection and analysis.
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What is Outset?
How to use
Upload a discussion guide, recruit participants from your own panel or Outset's, and let the AI interviewer conduct the interviews. The platform then synthesizes the data, providing summaries, themes, and highlight reels.
Core Features
- AI-moderated interviews
- AI synthesis & highlight reels
- Customizable AI interviewer persona
- Multimodal research (video, voice, text)
- Flexible participant recruitment
- Unmoderated testing with screen sharing
Use Cases
- Market strategy
- Segmentation & Personas
- Brand Research
- Innovation & Concept Testing
- User Experience & Usability
- Creative Testing
FAQ
What types of research can I conduct with Outset?
Outset supports a wide range of research use cases, including market strategy, segmentation and personas, brand research, innovation and concept testing, user experience and usability testing, and creative testing.
How does Outset ensure data security?
Outset is powered by the Azure OpenAI Service, the most secure large language model, and is fully anonymized. No models are ever trained on your data.
Can I use my own participants with Outset?
Yes, you can recruit participants from your own customers, your internal panel, or through Outset's trusted partners like User Interviews and Prolific. There are no extra fees or limitations.
Pricing
Pros & Cons
Pros
- Faster qualitative data collection
- Scalable research with hundreds of participants
- AI-powered synthesis and insights generation
- Reduced research costs
- Flexible and customizable interview process
- Multimodal research capabilities
Cons
- Reliance on AI may introduce bias
- Potential for loss of nuance compared to human-led interviews
- Requires careful crafting of discussion guides