Sprig

Sprig is a survey and user-research platform for enterprise teams that replaces manual survey workflows with an agent-powered system. Studies are built from uploaded questions or a stated research goal, delivered across multiple channels, and turned into written reports, helping teams move from question to defensible insight while maintaining research rigor.

Three named agents handle the core workflow: the Design Agent builds study logic, branching, and question flow from inputs or objectives, with AI audits for bias and leading questions; the Field Agent adapts surveys in real time based on participant responses, using a chat-based interface, AI-generated follow-ups, and attribute piping; and the Synthesize Agent converts structured and open-ended results into editable, evidence-based reports with human-in-the-loop verification. Distribution spans email, panels, websites, and mobile apps, with native SDK integrations for web, iOS, Android, and React Native, plus low-code installation via Segment and Google Tag Manager. An MCP Connector links Sprig to LLM tools such as Claude, ChatGPT, Gemini, Copilot, and Cursor, and integrations cover repositories (Dovetail, Notion), collaboration (Slack, Zapier), prototyping tools (Figma, Sketch, Adobe XD), analytics (Mixpanel, Amplitude), and experimentation platforms (Optimizely, LaunchDarkly).

Sprig is built for organizations running research across multiple teams, products, and customer journeys, with governance and access controls and compliance under CCPA, GDPR, HIPAA, and SOC 2 Type II. Pricing is packaged as a single enterprise platform that scales with total response volume, activated research capabilities, and deployment environments, with additional capabilities activated as research programs expand.