Outset
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About
Outset is an AI-powered research platform designed to bridge the gap between qualitative depth and quantitative scale. By utilizing advanced AI moderators, the platform allows research teams to conduct hundreds or thousands of deep, conversational interviews simultaneously. Unlike traditional surveys that rely on static open-ended questions, Outset’s AI acts as a live moderator that asks follow-up questions, probes for deeper meaning, and adapts to participant responses in real-time. This approach enables organizations to gather the rich insights typically associated with one-on-one interviews while maintaining the speed and reach of a quantitative survey. The platform streamlines the entire research lifecycle, from the initial guide setup to final analysis. Users can effortlessly create interview guides using AI suggestions, define advanced probing guidelines, and set intelligent skip logic. During the data collection phase, participants can respond via text, voice, or video across more than 40 languages. Once the interviews are complete, Outset provides instant synthesis and analysis. Features like "Chat with your Data," auto-tagged themes, and the ability to generate highlight reels allow researchers to find and share key insights with stakeholders in hours rather than weeks. Outset is specifically built for enterprise-scale research teams, including UX researchers, market researchers, and product managers. It is an ideal solution for discovery research, usability testing, concept validation, and market segmentation. It is particularly valuable for teams that need to be agile, allowing them to run large-scale studies overnight or conduct global research without the logistical challenges of hiring local moderators in multiple time zones. What differentiates Outset from traditional research tools is its combination of massive scale and rigorous data integrity. The platform offers access to a recruitment pool of over 1.1 billion participants and includes a high-fidelity fraud detection system with over 99% accuracy. For enterprise users, the platform maintains high standards of security and compliance, featuring SOC 2 Type II certification and GDPR compliance, ensuring that proprietary research data remains protected and is never used to train public AI models.
Pros & Cons
Supports conducting hundreds of qualitative interviews simultaneously for rapid scaling.
Integrated fraud detection system identifies low-quality or bot responses with 99%+ accuracy.
Comprehensive security with SOC 2 certification and GDPR compliance for enterprise data.
Allows for the analysis of both platform-conducted and externally uploaded researcher-led interviews.
Eliminates scheduling friction by allowing participants to complete AI-led interviews at any time.
Pricing is not transparent and requires a consultation with the sales team.
Collaboration features like team workspaces and observer seats are restricted to enterprise-tier plans.
White-labeling and custom interviewer branding are only available as optional add-ons.
Use Cases
UX Researchers can automate discovery interviews and usability tests at scale to identify design issues without manual scheduling.
Market Researchers can test global creative concepts and messaging across 40+ languages using automated AI moderation.
Product Managers can validate new product ideas or AI-MVPs by gathering deep qualitative feedback from hundreds of users overnight.
Consumer Insight teams can dig into customer psychology to build robust, up-to-date personas through large-scale qualitative probing.
Market Strategy teams can explore new customer segments and uncover motivations in global markets with minimal lead time.
Platform
Task
Features
• multilingual support (40+ languages)
• real-time synthesis
• recruitment (1.1b+ participants)
• highlight reel generator
• ai-generated research guides
• automatic fraud detection
• dynamic probing
• ai-moderated interviewing
FAQs
Does Outset support enterprise-scale research?
Yes, Outset is designed to support hundreds or thousands of parallel interviews across various products and markets. It meets enterprise standards for security, governance, and scalability to handle high-volume studies.
How many languages are supported for interviews?
Outset supports multilingual interviews in over 40 different languages. This allows research teams to conduct global studies and gather qualitative insights from participants in their native languages.
Is my data used to train Outset's AI models?
No, the platform specifically guarantees that your research data is never used for training purposes. All data is encrypted at rest and transmitted via TLS 1.3 to ensure enterprise-grade security.
Can I bring my own participants to the platform?
Yes, you can recruit participants via Outset's pool of 1.1 billion people or use your own customer lists and panels. The platform provides sharable recruitment links for easy integration with existing lists.
What kind of analysis tools does the platform provide?
The platform offers instant synthesis, auto-tagged themes, and an 'Explore' mode for global search. You can also 'Chat with your Data' to ask specific questions and generate highlight reels for stakeholders.
Pricing Plans
Core
Unknown Price• AI-moderated interviews
• Analysis tools access
• Qualitative and quantitative support
• AI-generated interview guides
• Multilingual interviews (40+ languages)
• Upload researcher-led interviews
• Full interview playback
• Auto-tagged themes
• Export data (CSV, PPT, PDF, video)
• Sharable report links
Research Plus
Unknown Price• All Core features
• AI interviewee simulator
• Custom report generation
• Highlight reel creation
• Transcript-wide analysis
• Dynamic programming setup
• Chat with your data
• Custom screener and quotas
• Dedicated customer success manager
• Advanced research design consultation
Job Opportunities
Backend Software Engineer
Reveal the deeper why behind consumer behavior through AI-moderated qualitative research at quantitative speed for enterprise UX and market research teams.
Benefits:
Daily collaboration with founders
Exposure to design and research leaders at top global brands
Competitive cash and equity compensation
Experience Requirements:
3+ years of software engineering experience building production-grade backend systems
Other Requirements:
Strong proficiency with Python and Django
Extensive knowledge of SQL databases (Postgres preferred)
Experience deploying and managing services on AWS
Familiarity with WebRTC, real-time data streaming, or AI/ML infrastructure
Responsibilities:
Collaborate closely with the CTO and CEO on strategic technical decisions
Design, develop, and optimize backend services and APIs
Implement and refine in-house Large Language Model technology
Lead projects from initial conception through production deployment
Interface directly with users to gather feedback
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Frontend Software Engineer
Reveal the deeper why behind consumer behavior through AI-moderated qualitative research at quantitative speed for enterprise UX and market research teams.
Benefits:
Daily collaboration with founders
Exposure to design and research leaders at top global brands
Competitive cash and equity compensation
Experience Requirements:
3+ years of software engineering experience building production-grade frontend systems
Other Requirements:
Strong proficiency with JavaScript/TypeScript, React, and Next.js
Experience building scalable, responsive web applications
Familiarity integrating frontend applications with RESTful or GraphQL APIs
Strong understanding of UI/UX principles and best practices
Responsibilities:
Collaborate closely with the CTO and CEO on strategic technical decisions
Design, develop, and optimize intuitive frontend interfaces using React and Next.js
Build robust and responsive components
Enhance user experiences through real-time data visualization
Lead frontend projects from initial conception through production deployment
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Account Director
Reveal the deeper why behind consumer behavior through AI-moderated qualitative research at quantitative speed for enterprise UX and market research teams.
Benefits:
Daily collaboration with founders
Exposure to design and research leaders at top global brands
Competitive cash and equity compensation
Experience Requirements:
5–10+ years of customer success, account management, or consulting experience
2+ years managing strategic/enterprise accounts
Other Requirements:
Ability to travel 25% of the time
Experience in a fast-paced SaaS or Series A/B startup environment
Exceptional communication and executive presence
Strong analytical mindset
Responsibilities:
Serve as a strategic partner to executive stakeholders
Own commercial health across a portfolio of high-value accounts
Develop account plans and success frameworks
Partner with Sales to identify and close revenue expansion opportunities
Translate customer feedback into actionable input for Product and Engineering
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Ratings & Reviews
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