Overview
Sprig is an enterprise survey platform powered by specialized AI agents designed to automate study design, participant fielding, statistical analysis, and reporting. The platform is built for enterprise research and product teams seeking to scale research operations across multiple touchpoints while maintaining high methodological rigor.
The system combines agentic workflows with multi-channel distribution capabilities. Teams can collect user feedback through native web and mobile SDKs, email campaigns, shareable links, or external user panels. Sprig's specialized agents guide studies from initial objectives to defensible insights while preserving full human control over methodology and data.
Key features
- AI research agents: Employs specialized Design, Field, Analyze, and Synthesize agents to automate study creation, adaptive fielding, statistical tests, and report generation.
- Adaptive survey delivery: Delivers conversational survey flows that dynamically tailor follow-up questions based on participant responses and contextual metadata.
- Omnichannel reach: Deploys surveys across web applications, iOS and Android mobile SDKs, email campaigns, direct links, and third-party recruitment panels.
- Advanced statistical analysis: Recommends and runs statistical methods including crosstabs, t-tests, ANOVA, and correlation analysis directly on survey data.
- MCP Connector: Connects survey data directly to external AI tools and workflows through a native Model Context Protocol integration.
- Enterprise governance: Controls access permissions and maintains security standards including SOC 2 Type II, GDPR, and HIPAA compliance.
Pros and cons
Pros
- Automates manual survey design and reporting tasks while preserving human oversight.
- Supports native SDK deployment for contextual in-app customer feedback.
- Integrates directly with AI tools using the Model Context Protocol.
Cons
- Requires contacting sales for enterprise pricing rather than offering self-serve plan signups.
- Agentic research workflows may require adjustment for traditional research teams.
Integrates with AI
Connect Sprig to AI assistants and agents.
Compare: Marketing tools with an MCP server · Marketing tools that integrate with Claude
Best for
- Enterprise brands
- Product teams
- UX researchers


