Sprig
The AI-powered platform for user insights.
Overview
Sprig is a user insights platform that helps product teams build better products by capturing real-time, in-context feedback from users. It allows for the creation of targeted micro-surveys and video questions that can be triggered by specific user actions within a product. Sprig then uses AI to analyze the qualitative feedback, identifying themes and insights at scale.
✨ Key Features
- In-product Surveys and Microsurveys
- Video Questions
- AI Analysis of qualitative feedback
- Event-based Targeting
- User Segmentation
- Integrations with design and product tools
🎯 Key Differentiators
- Real-time AI analysis of open-text feedback
- Focus on in-product, contextual surveys
- Combines qualitative and quantitative research methods
Unique Value: Delivers real-time, AI-powered insights from in-product user feedback, enabling product teams to make faster, more confident decisions.
🎯 Use Cases (5)
✅ Best For
- Triggering a survey after a user completes a key workflow to get immediate feedback.
- Using AI to quickly analyze thousands of open-text survey responses.
- Showing a new design concept to a specific user segment and capturing their feedback via video.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Quantitative behavioral analytics (it's a feedback tool, not an event tracker).
- Session replay and heatmaps.
🏆 Alternatives
Provides much faster time-to-insight than traditional research platforms like UserTesting, by using AI to automate the analysis of qualitative feedback.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
Free tier: 1 survey, up to 500 responses/month
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