Sprig

Sprig: The AI-Powered Research Platform for UX Teams

What is Sprig? Sprig is a unified research platform designed for User Experience (UX) teams, leveraging Artificial Intelligence (AI) to accelerate and enhance user research processes. It empowers teams to gather and analyze real-time feedback and behavioral data at scale, leading to faster and more relevant user insights. By automating key aspects of study creation and analysis, Sprig allows UX researchers to focus on strategic decision-making and product improvements.

Key Features of Sprig

• AI-Native Surveys: Design and launch AI-powered surveys that uncover deeper insights across every user touchpoint.
• Faster, Smarter Research: Automate study creation and analysis using AI specifically designed for modern research workflows.
• Reliable Data: Utilize advanced logic, randomization, and controls to ensure the rigor and reliability of research data.
• Contextual Design: Tailor surveys using user attributes and behaviors for richer, more relevant insights.
• AI Insights: Leverage Sprig AI to continuously analyze survey responses and behavioral data, surfacing top insights in real-time.
• Integration with UX Tools: Seamlessly share user insights across various UX tools for enhanced collaboration and workflow efficiency.

How Sprig Works

Sprig streamlines the research process through several key steps:

1. Design: Create sophisticated surveys with advanced question types, logic, and randomization using an intuitive interface.
2. Distribute: Collect responses from any audience, anywhere, via panels, email, or in-product targeting.
3. Collect: Deliver personalized survey experiences with AI-generated follow-ups, ensuring precise and insightful answers.
4. Analyze: Utilize AI insights to analyze user responses and behavioral data, identifying key takeaways in real-time.

Why Choose Sprig?

Leading UX teams choose Sprig for its ability to:

• Accelerate Research: Automate study creation and analysis to gain insights faster.
• Improve Data Quality: Ensure reliable data through advanced logic and controls.
• Enhance Context: Tailor surveys for richer, more relevant feedback.
• Make Data-Driven Decisions: Turn survey data into clear product decisions at scale with AI analysis.

Who is Sprig For?

Sprig is designed for various roles and teams, including:

• User Researchers: Streamline research workflows and gain deeper user insights.
• Design Teams: Understand user preferences and pain points to create better designs.
• Product Managers: Make informed product decisions based on user feedback and data.
• Marketing Teams: Evaluate user experiences and optimize marketing strategies.
• Engineering Teams: Address technical issues and improve product functionality.
• Customer Experience Teams: Improve customer satisfaction and loyalty through better experiences.

Benefits of Using Sprig

• Faster Time to Insights: AI-driven automation significantly reduces the time required to conduct research and analyze data.
• Improved Data Quality: Advanced controls and logic ensure the reliability and accuracy of research findings.
• Enhanced User Understanding: Contextual surveys and AI-generated follow-ups provide deeper insights into user needs and behaviors.
• Data-Driven Decision-Making: AI analysis turns survey data into actionable product decisions, driving product improvements and growth.

Examples of Sprig in Action

Several leading companies have successfully utilized Sprig to improve their UX research:

• Notion: Surfaced 412 content opportunities and improved CSAT using Sprig.
• Coinbase: Uncovered core feature pain points with targeted in-product surveys.
• Ramp: Used Sprig AI analysis to turn survey data into clear product decisions at scale.

Conclusion

Sprig is a modern research platform that reimagines experience research with AI. It empowers UX teams to uncover deeper insights in less time, leading to better product decisions and improved user experiences. Whether you're measuring experiences, evaluating features, or uncovering customer needs, Sprig provides the tools and insights needed to succeed. By leveraging Sprig's AI-powered surveys and analysis tools, you can transform user feedback into actionable strategies that drive product growth and customer satisfaction.

What are the key features of Sprig? Sprig stands out with its AI-native surveys, smart automation, reliable data collection, and contextual design, providing UX teams with actionable insights to make data-driven decisions. How does Sprig work? Sprig streamlines the research process from survey design to data analysis, using AI to generate follow-up questions and analyze responses for efficient and reliable insights. Why choose Sprig? Sprig offers faster, smarter research with AI-powered tools, ensuring reliable data and tailored surveys for richer user feedback, making it a top choice for UX research teams. Who is Sprig for? Sprig is ideal for UX researchers, design teams, and product managers aiming to gather deeper user insights, improve data quality, and drive data-driven product improvements.