Sprig

Sprig is an enterprise research platform powered by AI agents that automates study design, deployment, fielding, and synthesis. It replaces manual survey workflows with an agent-powered architecture, enabling teams to move from questions to defensible insights without compromising research rigor.

Sprig is designed for enterprise research teams, including UX researchers, product managers, and market researchers who need to scale insights across multiple teams, products, and customer journeys. It supports organizations requiring omnichannel distribution and adaptive, conversational studies.

Sprig uses AI agents to automate study design, including logic, branching, and question flow, while preserving research standards. It supports multi-channel deployment across email, panels, websites, and mobile apps, with native SDK integrations for in-app studies.

Yes, Sprig’s Field Agent delivers adaptive studies through conversational interfaces, generating personalized questions and adapting in real-time based on participant responses. This approach uncovers deeper insights compared to static forms.

Sprig’s Synthesize Agent transforms structured and open-ended responses into presentation-ready narratives, highlighting evidence-based findings and non-obvious themes. Reports can be edited and shared with stakeholders, with human-in-the-loop control for refinement.

Sprig provides an MCP Connector to integrate with AI tools and work directly with data without manual exports. It also supports native SDKs for embedding studies in web, iOS, and Android apps, as well as email and panel integrations for participant recruitment.