Sprig
Sprig enables product teams to capture real-time, in-context user feedback and session insights powered by AI, helping them make faster and more confident product decisions without relying on slow, traditional research methods.
Last updated May 11, 2026 by ATDb automated enrichment
- Industry
- Product Analytics / User Research / MarTech
- Business Model
- SaaS
- Target Market
- Mid-Market, Enterprise
- Employee Count
- 51-200
- Funding
- $60M
- Revenue Range
- $5M-$20M
- API Available
- Yes
Emerging challenger in the product experience and in-context user research space, competing against established analytics and feedback platforms
Sprig (formerly UserLeap) is a product experience and user research platform designed to help product teams collect and analyze user feedback directly within their digital products. The platform enables companies to deploy targeted in-product surveys, conduct concept tests, and capture session replays to understand user behavior and sentiment in real time. Founded in 2019 and rebranded from UserLeap to Sprig in 2022, the company has positioned itself as a modern alternative to traditional user research tools by embedding research directly into the product experience rather than relying on external surveys or lab studies. Sprig's platform leverages AI to help teams automatically surface insights from large volumes of qualitative and quantitative feedback, reducing the time required to analyze user responses and identify actionable patterns. The tool integrates with popular product analytics, CRM, and collaboration platforms, making it accessible to product managers, UX researchers, and designers who want to make data-driven decisions without deep research expertise. Its in-context approach means surveys and feedback prompts are triggered based on specific user actions or segments, resulting in higher response rates and more relevant data. While Sprig is not strictly an AdTech company, it operates at the intersection of product analytics and user research, serving many digital-first companies including those in the AdTech and MarTech space. Its customer base includes high-growth SaaS companies and enterprises looking to reduce churn, improve onboarding, and optimize product features. The company has raised significant venture funding and competes with tools like Hotjar, FullStory, Pendo, and Qualtrics in the broader product experience and digital insights market.
In-Product Surveys
Targeted micro-surveys triggered by user behavior or segment within the product experience to capture real-time feedback
Session Replay
Records and plays back user sessions to help teams understand how users interact with their product
Concept Testing
Allows teams to test new designs, features, or concepts with real users before building or launching
AI Analysis
Automatically analyzes and summarizes qualitative feedback at scale using AI to surface key themes and insights
Heatmaps
Visual representation of user interactions and engagement patterns across product surfaces
Sprig Replays
Combines session recordings with survey responses to provide context-rich user behavior data
- 2019Founded