Sprig
AI-powered product research platform that captures in-product feedback, analyzes session replays, and surfaces user insights automatically in real time.
Sprig is an AI-powered product research platform that embeds directly into web and mobile applications to capture in-the-moment user feedback, session recordings, and behavioral signals. The platform uses AI to automatically summarize qualitative survey responses, identify recurring themes, and surface actionable insights from research studies at scale, eliminating hours of manual analysis from product and UX research workflows. Originally founded as UserLeap in 2018 and backed by Y Combinator, Sprig rebranded in 2021 to include product analytics alongside user feedback collection. The platform integrates with Figma, Segment, Amplitude, and major product analytics stacks, and its AI Survey Generator creates targeted surveys from plain-language descriptions in seconds. Sprig is used by product managers and UX researchers at companies including Figma, Loom, and Voiceflow to run continuous discovery programs without needing a dedicated research operations team.
Key Features
- In-product surveys - trigger contextual micro-surveys inside your app based on user behavior, events, or page visits
- AI analysis - automatically summarizes qualitative responses, clusters themes, and highlights statistically significant patterns
- Session replay with AI summaries - records user sessions and generates plain-language summaries of what users struggled with
- AI Survey Generator - describe your research goal in plain English and receive a targeted survey structure in seconds
- Heatmaps and click maps - visual overlays showing where users click, scroll, and drop off across key product flows
- Integrations - connects to Segment, Amplitude, Mixpanel, Figma, Slack, and Jira for research-to-action workflows
Use Cases
- Product managers running continuous discovery to understand why users churn, request features, or abandon onboarding
- UX researchers collecting contextual feedback from users at key moments during a task without disrupting the workflow
- Growth teams measuring satisfaction and intent-to-recommend scores in-product rather than via email surveys with low response rates
- Design teams validating prototypes by triggering Sprig surveys immediately after users interact with a new feature in production
Pros
- In-product placement captures feedback at the moment of experience, producing far higher response rates than email-based surveys
- AI analysis summarizes hundreds of qualitative responses in seconds, making large research studies tractable for small teams
- Free plan gives early-stage teams access to real user research without the $175/month commitment
Cons
- Paid plans at $175/month are positioned above what many solo founders and very early-stage startups can justify
- Session replay storage limits on lower-tier plans require teams to be selective about which flows they record
- AI analysis summaries occasionally miss nuanced feedback that requires human review of raw responses to fully understand
Sprig Alternatives
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Kraftful
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FullStory
AI digital experience analytics platform with session replay and heatmaps - 3,500+ enterprises use it to understand exactly where users struggle and drop off.
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