Sprig is an enterprise research platform that uses AI agents to run continuous customer, market, and product research. It replaces manual survey workflows with a system that connects user actions to underlying motivations. Product and research teams can trigger adaptive studies inside digital experiences or through outreach channels.
Traditional survey tools often rely on static forms and disconnected, post-hoc reporting. This makes it hard to link user behavior with sentiment, producing generic data without context. Sprig instruments research at specific moments, such as onboarding completion or checkout drop-off, to identify friction at its source.
The platform uses three specialized agents. The Design Agent drafts questions, builds skip logic, and audits surveys for bias. The Field Agent deploys studies through a chat-based interface that adapts to responses in real time. The Synthesize Agent groups open-ended text into themes and generates presentation-ready narratives.
Sprig integrates natively into products through Web, iOS, and Android SDKs. Its Sprig MCP architecture connects live survey responses into AI workflows including Claude, ChatGPT, and Gemini. Sprig is positioned as a continuous measurement framework with enterprise-grade security and access controls.
Pricing
Sprig uses a tiered pricing model, and exact dollar amounts are not published; costs are customized based on usage. A Free plan allows 1 in-product study, up to 5,000 Monthly Tracked Users, and 1 link survey, with unlimited seats and AI-assisted study design. The Starter plan adds higher response limits, concept and prototype testing, and voice and video responses. Enterprise pricing is custom and includes all three AI agents, omnichannel reach, governance controls, and compliance with SOC 2, HIPAA, and GDPR; pricing scales with response volume, deployment channels, and activated modules.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
- ✓
Design Agent builds studies and logic from natural language goals.
- ✓
AI bias auditing corrects leading questions before studies launch.
- ✓
Field Agent deploys adaptive, chat-based studies in real time.
- ✓
Synthesize Agent turns open-ended responses into thematic narratives instantly.
- ✓
Omnichannel deployment across email, links, web, iOS, and Android.
- ✓
Sprig MCP connects live survey data directly to LLM workflows.
Use Cases
Uncovering Churn Drivers
Teams trigger contextual surveys when users downgrade or abandon a workflow. The Synthesize Agent categorizes open-ended feedback into churn patterns automatically, capturing accurate context at the moment of friction.
Strategic and Foundational Discovery
Teams conduct broad market research to find product-market fit or new opportunities. The Design Agent structures unbiased studies that can be sent to a panel of over 2 million verified external participants.
Concept and Prototype Validation
Teams test high-fidelity designs with real users before committing engineering resources. Sprig connects with tools like Figma to embed interactive prototypes inside surveys and capture usability feedback.
Journey and Friction Tracking
Teams identify where users drop off during onboarding or other lifecycle flows. Native SDKs embed surveys inside web or mobile apps, connecting specific actions to user motivations.
Continuous Experience Measurement
Teams move beyond quarterly, disconnected NPS surveys to an always-on health dashboard. Sprig monitors experience across journeys and connects executive KPIs to causal explanations from the Synthesize Agent.
Strengths & Weaknesses
Strengths
Native Web, iOS, and Android SDKs capture in-the-moment feedback inside products.
The Design Agent automates skip logic and bias auditing, speeding up study creation.
The Synthesize Agent replaces manual coding of qualitative data with automated reporting.
Sprig consolidates market discovery and in-product tracking under one platform.
Feedback can flow directly into analytics warehouses, research repositories, and LLM tools.
Weaknesses
The Free plan restricts users to 1 in-product study and 5,000 Monthly Tracked Users.
Removing Sprig branding and applying custom CSS is limited to Enterprise accounts.
Costs can become unpredictable since pricing scales with response volume and active environments.
Voice and video response capabilities require upgrading beyond the Free plan.
Who Is This For?
UX and Product Researchers: AI agents handle logic design and synthesis, letting researchers focus on strategy and interpretation.
Product Managers: Targeted in-product surveys tied to user events help explain why a feature is underperforming.
Enterprise Research Operations: Sprig offers centralized governance, access controls, and compliance with HIPAA, SOC 2, and GDPR.
Customer Success and Retention Teams: Continuous experience measurement tracks specific reasons behind churn or renewal.
Frequently Asked Questions
What are Sprig’s AI Agents?
Sprig uses three agents: the Design Agent structures studies and audits for bias, the Field Agent runs adaptive chat-based studies, and the Synthesize Agent turns responses into evidence-based reports.
Can Sprig be used for external market research?
Yes. Teams can recruit from a panel of over 2 million verified participants or distribute surveys through email and shareable links.
Does Sprig support prototype testing?
Yes, Sprig offers concept and prototype testing with integrations for tools like Figma, Sketch, and Adobe XD.
Is Sprig compliant with enterprise data privacy standards?
Sprig states compliance with CCPA, GDPR, HIPAA, SOC 2 Type II, and the Data Privacy Framework.
How much does Sprig cost?
Pricing scales based on response volume, activated modules, and deployment environments. A limited Free tier and a Starter plan exist, while Enterprise pricing is custom.
Can I customize the look of my Sprig surveys?
Teams can apply custom primary colors on any plan. Advanced changes, such as custom CSS or removing the Sprig signature, are reserved for Enterprise customers.
What are the limitations of the Free plan?
The Free plan allows only 1 in-product study, up to 5,000 Monthly Tracked Users, 1 link survey, and limited responses.
Does Sprig integrate with product analytics tools?
Sprig integrates with Mixpanel and Amplitude to combine quantitative analytics with qualitative feedback.
How does Sprig connect to AI tools like Claude?
Sprig MCP connects live survey responses and themes directly into LLM tools including Claude, ChatGPT, and Gemini.
How is Sprig installed in a product?
Sprig is installed using native Web, iOS, or Android SDKs, or through Segment or Google Tag Manager, to track behavior and trigger surveys.
Sprig integrates with Claude, ChatGPT, Gemini, Copilot, and Cursor through Sprig MCP for AI workflow connections. It also connects to Dovetail and Notion for research repositories, Slack for alerts, and Zapier for broader automation. Design tool integrations include Figma, Sketch, Adobe XD, Miro, Framer, Marvel, ProtoPie, Justinmind, and Axure. Data and analytics integrations include Segment, Google Tag Manager, Census, RudderStack, Mixpanel, and Amplitude, along with Optimizely and LaunchDarkly for feature flag and experiment targeting.