Description
Sprig is an enterprise research platform that utilizes AI agents to design, field, and synthesize user research studies across various platforms including web, mobile, email, and panels. It is specifically tailored for UX teams that require quick and relevant insights to enhance product experiences.
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The platform features a Design Agent that drafts studies, a Field Agent that asks adaptive follow-up questions during the fielding process, and a Synthesize Agent that converts responses into comprehensive study reports. This streamlined approach allows teams to deploy surveys across websites, web apps, mobile apps, email, and panels, ensuring that they can gather insights wherever their users are.
Sprig's capabilities include AI-designed survey studies, adaptive AI follow-up questions during fielding, and AI-driven theming and study reports. Additionally, it offers in-product surveys for both web and mobile applications, session replays, and heatmaps, which provide valuable context for understanding user behavior. The platform also supports prototype and concept testing, allowing research teams to validate ideas before they are launched.
With the Model Context Protocol server for AI agents and a REST API, Sprig integrates seamlessly with various platforms, including web, iOS, Android, React Native, and Flutter SDKs. This flexibility makes it an ideal choice for product and research leaders looking to make evidence-based decisions that shape their roadmaps, pricing, and positioning strategies.
- CategoryAI Research Assistants
- Pricing ModelNot specified
- DeploymentWeb, Mobile, Email, Panels
- PlatformsWeb, iOS, Android, React Native, Flutter
Sprig's Core Features
AI-designed survey studies
Adaptive AI follow-up questions
AI theming and study reports
In-product surveys for web and mobile
Session replays and heatmaps
Prototype and concept testing
Model Context Protocol server
REST API and SDKs for multiple platforms
How to use Sprig?
Design Agent: draft your research study using AI tools
Field Agent: deploy surveys and gather user feedback
Adaptive follow-ups: utilize AI to ask relevant questions during fielding
Synthesize Agent: analyze responses and generate reports
Integrate: connect with your existing platforms using the REST API
Test concepts: use prototype testing features to validate ideas
Measure experiences: implement continuous experience measurement programs
Sprig's Use Cases
- User Experience Research
- Behavioral Analysis
- Prototype Testing
- Continuous Experience Measurement
- Strategic Decision Making
