Sprig

What is Sprig?

Sprig is a user research tool designed to help teams gather feedback from their users so they can improve their products. With Sprig, you can create targeted surveys, record how people use your product, and test prototypes. Sprig’s AI automatically surfaces key insights, pointing out both problems and opportunities for improvement. Large tech companies use it to refine their products.

Who created Sprig?

Aaron Schmidt founded Sprig, a company offering AI-powered user research tools built for product teams that need to gather feedback efficiently and improve user experiences.

What is Sprig used for?

Sprig supports several core research workflows:

• Gathering feedback quickly from users.
• Creating targeted surveys that collect the specific information you need.
• Recording user sessions to see exactly how people interact with your product.
• Testing prototypes to catch UX issues before launch.
• Automatically surfacing insights through AI analysis, highlighting specific issues and improvement opportunities you might otherwise miss.

Who is Sprig for?

Sprig is aimed at anyone involved in product development and user experience, including:

• Product teams and product managers
• Designers and UX designers
• Developers and engineers
• Researchers and business analysts
• Marketers
• Customer support teams

How to use Sprig?

The typical workflow looks like this:

1. Sign up on the Sprig website and create an account.
2. Create projects for each product or experience you want feedback on, to keep research organized.
3. Build surveys with targeted questions aligned to what you want to learn.
4. Record user sessions to observe real user journeys firsthand.
5. Test prototypes by uploading them and running tests on the user experience.
6. Receive insights: once data is collected, Sprig’s AI analysis generates insights highlighting problems and potential opportunities.
7. Review and iterate: use the insights to make product decisions, then continue collecting feedback and refining.

Following this process helps teams improve their product development cycle and create better user experiences while keeping research efficient.