Sprig

About Sprig

Build Better Products with Continuous User Insights

Sprig is an AI-powered user research and experience platform designed to help product, design, marketing, and engineering teams make smarter decisions. By capturing real-time feedback and analyzing user behavior, Sprig enables teams to uncover insights, solve pain points, and create user-centric products.

Trusted by Leading Companies

Top companies like Dropbox, Coinbase, Webflow, and Notion rely on Sprig to optimize their products through AI-driven research and continuous feedback loops.

How Sprig Works

Ask: Collect Feedback from Real Users

Sprig captures contextual feedback directly in your product using targeted in-app surveys and feedback widgets. Get precise insights from the right users at the right moments—during product use, not after the fact.

Observe: Understand User Behavior at Scale

Track how users interact with your product through session replays and heatmaps. Identify friction points, behavioral patterns, and usability issues in real time without manual observation.

Analyze: AI-Driven Insight Generation

Sprig’s AI surfaces high-impact product opportunities by analyzing survey responses and behavioral data. Insights are automatically prioritized so your team knows what to act on first.

Act: Share and Collaborate on Key Findings

Integrate with your existing workflows in tools like Slack, Notion, Figma, and Zapier. Automatically push research findings into your central repositories, design tools, and collaboration platforms for immediate action.

Key Features of Sprig

In-Product Surveys & Feedback

Create and launch user research studies directly inside your web or mobile app. Target users based on behavior, device, or actions to gather timely insights.

Session Replays & Heatmaps

Visualize how users navigate your product and where they drop off. Sprig helps you see what’s working and what’s not, based on real interactions.

AI-Powered Analysis

Let Sprig AI handle the analysis of large volumes of data. Surface trends, uncover hidden pain points, and highlight growth opportunities faster than manual methods.

Customizable AI Templates

Tailor your AI analysis based on team needs or goals. Whether it’s to optimize onboarding or fix drop-offs, Sprig’s customizable templates guide your research focus.

Benefits for Product & Research Teams

Real-Time Research Without the Wait

Sprig cuts research turnaround from weeks to minutes by capturing insights in real-time and delivering results through AI. No more long cycles or external recruitment delays.

Cost-Effective and Scalable

Reduce research costs by automating data collection and analysis. Run continuous user studies without increasing headcount or external spend.

Actionable Product Improvements

Teams using Sprig make faster, more confident decisions. From small UX tweaks to major product changes, Sprig data guides every move.

Use Cases Across Teams

Product Management

Understand what users need, validate ideas early, and identify bottlenecks in product flows.

User Research

Collect feedback at scale and reduce the need for repetitive manual analysis.

Design and UX

Evaluate user behavior to improve usability and ensure that design choices align with user expectations.

Marketing and Customer Experience

Learn how users interact with campaigns and product touchpoints, and fine-tune strategies based on behavior and sentiment.

Integrations and Ecosystem

Sprig integrates with tools like Slack, Notion, User Interviews, Zapier, and Figma. Share findings instantly, automate workflows, and connect insights to the platforms your team already uses.

Why Choose Sprig?

• AI-driven research without manual analysis
• Real-time insights directly from your users
• Seamless integration into design, dev, and collaboration tools
• Scalable research for teams of any size