Outset.ai

Automatically conducts one-on-one interviews with research participants across 100+ languages without human interviewer involvement. The system asks questions, listens to responses, and can follow up based on participant answers.

Enables non-technical users to design complex interview flows with branching logic and dynamic follow-up questions without writing code. Supports conditional logic to route participants based on their answers.

Allows researchers to define custom analysis prompts to synthesize interview data according to specific research questions or frameworks, enabling tailored insight generation beyond default theme extraction.

Automatically analyzes interview responses as they come in and surfaces key themes, patterns, and sentiment insights through a dashboard without manual coding or categorization. Updates continuously as new responses arrive.

Analyzes participant responses to identify and categorize sentiment (positive, negative, neutral) and emotional tone across interview data. Provides aggregated sentiment metrics and breakdowns by question or participant segment.

Analyzes and synthesizes interview responses collected across multiple languages, translating and normalizing insights so researchers can identify patterns regardless of the language in which participants responded.

Provides a centralized dashboard displaying interview progress, response summaries, key themes, sentiment patterns, and other metrics in real-time. Allows researchers to monitor study progress and emerging insights without manual data compilation.

Facilitates the recruitment and management of research participants by accepting participant lists and contact information, then distributing interview invitations and tracking participation status.

Automatically generates contextual follow-up questions based on participant responses, allowing the AI to probe deeper into interesting or unclear answers without pre-scripting every possible follow-up.

Exports interview data, transcripts, synthesis results, and analysis in multiple formats for further analysis in external tools like spreadsheets, statistical software, or qualitative analysis platforms.

Tracks and reports on interview quality metrics such as response completion rates, response length, and data validity to help researchers identify potential issues with interview design or participant engagement.