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Sprig

User insights platform for enhanced product experiences.

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What is Sprig?

Sprig is a user insights platform that helps product teams understand how people actually use their products. It combines surveys, session recordings, and prototype testing in one place, allowing teams to collect direct feedback from users and identify what's working and what isn't. The platform uses AI to analyse user responses and spot patterns, then connects those insights to your existing analytics tools. It's designed for product managers, designers, and researchers who want to make decisions based on what users actually need rather than assumptions.

Key features

Targeted surveys

Deploy in-app and web surveys to specific user groups to gather feedback on features, behaviour, and preferences

Session replays

Record and watch how individual users interact with your product to spot friction points and usability issues

Prototype testing

Test design mockups and prototypes with real users before building to validate ideas early

AI-powered analysis

Automatically analyse survey responses and feedback using GPT to find themes and practical advice

Integration with analytics

Connect user feedback directly to your existing analytics and experimentation tools

Collaboration and sharing

Share findings across product, design, and engineering teams to inform decisions

Pros & cons

Advantages

  • Combines multiple research methods in one platform, reducing the need for separate tools
  • Fast feedback loops help teams validate ideas and spot problems before they become costly
  • Direct user input grounds product decisions in real behaviour rather than guesswork
  • Works well with existing analytics stacks through integrations

Limitations

  • Requires setting up surveys and tests properly to get useful data; poor execution leads to poor insights
  • Pricing can become significant at scale, especially for larger teams with high research volumes

Use cases

Testing new feature designs with target users before full development

Understanding why users are dropping off at specific points in your product

Validating assumptions about how a feature should work

Gathering qualitative feedback to complement quantitative analytics data

Running A/B tests with added context on why users prefer one option over another

Ready to try Sprig?

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Pricing

Free

Free

Basic surveys and session replays; limited monthly responses; core features included

Pro

Custom pricing

Advanced targeting, higher response limits, AI analysis, team collaboration, integrations

Enterprise

Custom pricing

Custom implementation, dedicated support, advanced security and compliance features

Get started with Sprig

Click through to Sprig and start using it now.

Try Sprig free
  • Free plan available
  • No credit card