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What is Sprig?
Sprig is an AI-powered product experience platform that helps product managers and UX researchers gather real-time user insights. It offers in-product surveys, behavior analysis tools, and automated recommendations to guide product teams in creating more intuitive and satisfying experiences for their customers.
What sets Sprig apart?
Sprig sets itself apart with its AI Study Creator, which turns product questions into targeted user studies. Product teams can tap into cross-study analysis that combines data from multiple sources, giving a fuller picture of the user journey. The platform then goes a step further by suggesting specific changes to improve products, acting as an AI-powered product strategy partner.
Sprig Use Cases
- Real-time user feedback
- Product behavior analysis
- Conversion optimization
- UX research automation
- AI-powered product insights
Who uses Sprig?
Features and Benefits
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Launch AI-generated surveys within your product to gather real-time user insights and automatically analyze results. AI-Powered Surveys - Capture targeted user behavior video clips and use AI to analyze and group them into actionable product themes. Session Replays
- Visualize user interactions across your product with AI-analyzed heatmaps to identify engagement patterns and opportunities for improvement. Heatmaps
- Collect continuous user feedback directly within your product and receive AI-generated insights based on responses. In-Product Feedback
- Analyze user experience data across multiple studies to generate prioritized lists of issues and opportunities in your product journey. AI Explorer
Sprig Pros and Cons
Pros
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Easy-to-use interface for creating and managing in-app surveys - AI-powered analysis provides quick insights from open-ended responses
- High response rates through targeted in-product surveys
- Offers video replay feature to visualize user interactions
- Integrates well with other analytics and product tools
- Provides helpful survey templates and customization options
- Enables rapid iteration and data-driven decision making
Cons
Can require engineering support for initial setup and event tracking - Pricing may be expensive for smaller teams or startups
- Limited advanced survey logic capabilities
- Mobile app functionality is somewhat restricted compared to web version
- Learning curve for utilizing all features effectively
- Some users report slow ticket response times for support
Pricing
Free TrialFree $0/mo
- 1 in-product Study per month
- 5k MTUs per month
- 1 Link Survey per month
- Unlimited account seats
Starter $175/mo
- 2 in-product Studies per month
- 25k MTUs per month
- Mobile app delivery (+$200/month)
- Unlimited account seats
Enterprise Price not available
- Custom usage limits for Replays, Heatmaps, Feedback & Surveys
- Custom MUUs per month
- Advanced security
- Study design customization
- Dedicated support
- Unlimited account seats
- Mobile app delivery
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