Sprig AI Analysis is a set of AI tools for analyzing user experience and feedback in digital products. It helps product and marketing teams understand user behavior faster and identify opportunities to improve the interface and core flows.
Collect user context in-product
Sprig lets you run targeted surveys inside your product and pair them with user session replays. Research can be triggered by product events and user attributes, adding clear context around what happened and who experienced it.
- In-product, targeted surveys
- Session replays to complement survey responses
- Event- and attribute-based targeting for better context
AI analysis for insights and issues
Built-in AI processes survey answers and observed behavior to surface key insights, patterns, and problems. This reduces manual work on qualitative data and supports faster product decisions.
Turn findings into product improvements
Sprig AI Analysis focuses on converting raw feedback into structured takeaways teams can act on to optimize UX and improve key metrics.
- UX optimization recommendations
- Support for conversion and retention improvements
