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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.

San Francisco, California, United StatesFounded 2019

Last updated May 11, 2026 by AI 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
Market Position

Emerging challenger in the product experience and in-context user research space, competing against established analytics and feedback platforms

Overview

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.

Products & Features

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

Key Features
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)
Use Cases
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
Customer Segments
SaaS product teamsE-commerce and digital consumer appsEnterprise software companiesFinTech and HealthTech companiesGrowth-stage startups
Connections

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