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Sprig Analytics & Data

Free plan available

Sprig (Analytics & Data): Sprig is an AI-powered enterprise research platform that transforms survey workflows with specialized agents for design, deployment, and synthesis. Pricing: from Free plan available. (data verified July 2026)

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About Sprig

What is Sprig?

Sprig is an enterprise research platform powered by AI agents that helps teams design, deploy, and synthesize surveys at scale. It replaces manual survey configuration with a system where specialized agents handle study design, participant reach, and insight generation, preserving research rigor while accelerating the entire process.

Who is it for?

Sprig is built for enterprise research teams, product managers, and UX researchers who need to run continuous, rigorous studies across multiple teams and customer touchpoints. It is not ideal for casual one-off polls or simple feedback forms, where a basic survey tool might suffice.

Key capabilities and use cases

Sprig enables researchers to describe a research goal, and the Design Agent builds the survey logic, branching, and question flow. The Field Agent delivers adaptive, chat-based surveys across email, SMS, web, and mobile apps. The Synthesize Agent transforms responses into evidence-based narratives and reports. Common use cases include concept and prototype testing, experience measurement, journey and behavioral research, and market and consumer insights.

Key features

  • Design Agent — Describe your research goal; the agent builds survey logic, branching, and question flow automatically.
  • Field Agent — Deliver adaptive, chat-based surveys across email, SMS, web, and mobile apps with real-time personalization.
  • Synthesize Agent — Transform structured and open-ended results into presentation-ready narratives with evidence-based reporting.
  • Omnichannel Deployment — Reach participants via link, email, panels, websites, and mobile apps from a unified platform.
  • AI-Powered Validation — Automated bias detection, neutral phrasing optimization, and skip logic configuration to ensure data quality.
  • Human-in-the-Loop Control — Refine findings, adjust evidence, and verify conclusions before sharing with stakeholders.

SaaSpartout Score

7.3 /10
Ease of use 7.0
Features depth 9.0
Value for money 6.5
Support quality 7.5
Integrations 6.0
Scalability 8.5
Documentation 6.5
Onboarding speed 7.0

Editorial score from our review methodology — not user ratings.

Sprig Pricing

Sprig pricing: Free plan available. Billing model: Free.

Free

Core survey capabilities with limited responses, AI-assisted study design and synthesis. Start for free.

Starter

For individuals or small teams running ongoing research. Includes higher response limits, concept and prototype testing, voice and video responses, and expanded AI analysis.

Enterprise

For organizations running research across multiple teams and products. Includes all agents, adaptive survey architecture, omnichannel reach, organizational governance, enterprise security (SOC 2, HIPAA, GDPR), and dedicated support. Pricing scales based on total response volume, activated capabilities, and deployment environments. Book a demo for a quote.

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Frequently asked questions

Is Sprig free?
Yes, Sprig offers a free plan with limited responses and core survey capabilities, including AI-assisted study design and synthesis.
How much does Sprig cost?
Sprig has a free plan, a Starter plan for individuals and small teams, and custom-priced Enterprise plans. Pricing scales based on response volume, capabilities, and deployment environments. Book a demo for an Enterprise quote.
What are the main features of Sprig?
Sprig features three AI agents: Design (builds surveys from goals), Field (delivers adaptive omnichannel surveys), and Synthesize (generates insight reports). It also includes omnichannel deployment, AI bias detection, and human-in-the-loop control.
Who is Sprig best for?
Sprig is best for enterprise research teams, product managers, and UX researchers who need to run continuous, rigorous studies across multiple teams and customer touchpoints.
What are the best alternatives to Sprig?
Common alternatives to Sprig include Qualtrics, SurveyMonkey, Typeform, and Alchemer. Sprig differentiates with AI agent-powered study design and synthesis.
What is a key limitation of Sprig?
Sprig is designed for rigorous research at scale and may be overkill for anyone needing just a simple one-question poll or basic feedback form.
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