Sprig

What is Sprig?

Sprig AI is a user research tool designed to assist teams in gathering feedback from users to enhance their product experiences. It enables the creation of targeted surveys, recording of user sessions, and testing of prototypes. Sprig's AI analysis feature automatically uncovers insights, helping teams identify both issues and opportunities within their products. This tool is utilized by various top tech companies to improve their products effectively.

Who created Sprig?

Sprig AI was created by Aaron Schmidt. The company offers AI user research tools for product teams to gather feedback efficiently and improve user experiences. Sprig AI enables the creation of targeted surveys, recording user sessions, and testing prototypes, with AI analysis to highlight insights for product enhancement.

What is Sprig used for?

• Quickly collect feedback from users
• Improve user experiences and apps
• Create targeted surveys
• Record user sessions
• Test prototypes
• Automatically surface insights with AI analysis
• Identify issues within the product
• Identify opportunities within the product
• Quickly get feedback from users to improve experiences
• Automatically surface insights for issue identification

Who is Sprig for?

• Product teams
• Designers
• Developers
• Product Managers
• UX designers
• Marketers
• Engineers
• Researchers
• Business analysts
• Customer support teams

How to use Sprig?

To use Sprig AI effectively, follow these steps:

1. Sign Up: Visit the Sprig website and sign up for an account.

2. Create Projects: Start by creating projects for different products or experiences you want to gather feedback on.

3. Build Surveys: Design targeted surveys with specific questions tailored to your project goals.

4. Record User Sessions: Utilize Sprig to record user sessions to observe how users interact with your product.

5. Test Prototypes: Upload prototypes and conduct tests to evaluate the user experience.

6. Receive Insights: Sprig's AI analysis will automatically generate insights from the collected data, highlighting both issues and opportunities.

7. Review and Implement: Review the insights provided by Sprig and use them to make informed decisions on improving your product.

8. Iterate: Continuously collect feedback, analyze insights, and iterate on your product based on the feedback received.

By following these steps, you can leverage Sprig AI to enhance your product development process and create better user experiences efficiently.