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-context, behavior-triggered surveysAI-powered insight summarizationSession replay and heatmapsConcept and usability testingAudience targeting and segmentationReal-time dashboard and reportingMulti-platform support (web and mobile)
Measuring product-market fit and NPS in contextIdentifying friction points in onboarding flowsTesting new feature concepts before developmentUnderstanding reasons behind user churnCollecting feedback on specific UI/UX changesSegmenting feedback by user cohort or behavior
SaaS product teamsE-commerce and digital consumer appsEnterprise software companiesFinTech and HealthTech companiesGrowth-stage startups