Sprig AI

AI Product Research in the Product Itself

Sprig AI is a product research platform that embeds research directly into the product experience. Rather than scheduling external user interviews or sending email surveys, Sprig lets teams trigger micro-surveys, session replays, and AI analysis at exactly the right moment within the product — when users have just performed an action or encountered a specific experience. This in-context approach generates higher-quality, more relevant feedback.

AI-Powered Research Synthesis

Sprig's AI engine automatically analyzes survey responses, session replays, and behavioral data to identify patterns and surface themes. When hundreds or thousands of users respond to an in-product survey, Sprig's AI synthesizes the qualitative feedback into structured themes with sentiment scoring, helping teams understand what users think without manually reading every response.

• In-product micro-surveys triggered by user behavior
• Session replay linked to survey responses for context
• AI synthesis of qualitative feedback into themes
• Heatmaps for mobile and web product surfaces
• Automated research scheduling and delivery

Faster Research Cycles

Sprig enables product teams to run continuous research rather than one-off studies. Teams set up research programs that automatically collect feedback as users trigger the relevant behaviors, creating a constant stream of qualitative insights that feeds directly into product decision-making without the overhead of traditional research methods.