Sprig Review 2026

AI-powered product experience platform that analyzes user behavior, surveys, and session replays to surface actionable insights.

Sprig is an AI-powered product experience platform that helps product teams understand user behavior and make data-driven decisions through in-product surveys, session replays, and AI-driven analysis. The platform's AI Studies feature allows product managers to ask questions in natural language about user behavior and get instant answers synthesized from survey responses, session replays, and behavioral data. Instead of spending hours analyzing survey results or watching session recordings, product teams can ask Sprig AI questions like 'Why are users dropping off during onboarding?' or 'What do power users think about the new feature?' and receive comprehensive answers with supporting evidence. Sprig's in-product surveys target users based on specific behaviors, pages viewed, user attributes, and events, ensuring feedback comes from the right users at the right moment. The platform automatically analyzes open-ended survey responses using AI, categorizing themes, detecting sentiment, and surfacing insights that would take hours to extract manually. Session replays capture user interactions and the AI can automatically identify frustration signals, confusion patterns, and UX issues. Sprig integrates with product analytics tools like Amplitude, Mixpanel, and Segment, enriching user profiles and enabling more targeted research. The platform also connects with Slack, Jira, and Linear for routing insights to the right teams. Companies like Notion, Figma, Coinbase, and Dropbox use Sprig to continuously understand and improve their product experience.