AI product experience platform with surveys and replays
Sprig is a solid pick for product teams that want in-context feedback and behavioral replay in one tool, with AI to speed up analysis. The combination is genuinely convenient, but pricing scales with monthly tracked users and jumps quickly beyond the entry tier, and enterprise pricing is not public. As always with AI-synthesized insights, treat the recommendations as a starting point to validate rather than ground truth.
Sprig is an AI-powered product experience platform that pairs in-product surveys and session replays with AI agents that design studies, field them to targeted users, and synthesize responses into insights. It suits product teams wanting continuous, in-context feedback tied to real behavior.
Sprig is a product experience insights platform aimed at product, design, and research teams who want to understand not just what users do but why. It brings together in-product surveys (micro-surveys triggered by user behavior), session replays, and AI-driven analysis so teams can capture qualitative and behavioral signals directly inside their web and mobile apps. Sprig has repositioned around AI agents that support the research workflow end to end: helping design studies and questions, targeting and fielding them to the right users, and synthesizing responses into themes and recommendations. The pitch is to shorten the path from a product question to evidence, letting teams run continuous, in-context research rather than periodic standalone studies. The platform targets product teams at growth-stage and enterprise companies that want always-on feedback tied to real user sessions. It competes with survey tools, session-replay tools, and product analytics platforms by combining several of those capabilities with an AI analysis layer.
Sprig is an AI product experience platform combining in-product surveys, session replays, and AI synthesis. AI agents help design, field, and analyze studies so teams get evidence faster. It suits growth-stage and enterprise product teams wanting continuous, in-context feedback. Pricing starts with a free tier and a Starter plan around $175 per month billed annually, scaling with usage.
Sprig is a US-based product experience insights company serving product, design, and research teams. It has evolved from a survey-focused tool into an AI-driven platform spanning surveys, replays, and analysis.
The company has raised approximately $152 million across multiple rounds, with a Series B in August 2022, backed by investors including Accel, First Round Capital, and Andreessen Horowitz.
Sprig delivers behavior-triggered in-product micro-surveys, session replays, and an AI analysis layer that synthesizes open-ended feedback. AI agents support designing studies, targeting and fielding them, and generating insights.
Integrations with analytics, CRM, and messaging tools let teams route data and act on findings. Targeting is tied to user behavior and segments captured through the SDK.
Product, design, and research teams at growth-stage and enterprise software companies that want continuous, in-context feedback tied to real user behavior.
Product managers, UX researchers, and designers who create studies and review insights.
Heads of product, design, or research who own the tooling budget.
Product analytics and growth teams, and engineering leads who own the SDK integration.
A software company with a live web or mobile product and a product-led practice that wants always-on feedback combining behavior and sentiment.
Sprig has raised approximately $152 million in total across several rounds, including a Series B in August 2022, with investors such as Accel, First Round Capital, and Andreessen Horowitz.
Sprig combines in-product surveys, session replays, and AI analysis so product teams can capture user feedback and behavior in context and turn it into insights.
Yes. Sprig offers a free tier and a free trial, with paid plans starting around $175 per month billed annually for small teams.
Sprig uses AI agents to help design studies, target and field them, and synthesize open-ended responses into themes and recommendations.
Yes. Sprig requires installing its SDK or snippet in your web or mobile product to trigger surveys and capture replays.
It is best for growth-stage and enterprise product teams that want continuous, in-context feedback tied to real user behavior rather than periodic standalone studies.
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