For product teams, analytics has gotten us to where we are today, but it won’t get us to where we want to go. Analytics tells us what our users are doing and represents people as numbers, charts, and graphs. What analytics fail to tell us is the why behind our users’ actions and how we can build better product experiences for them. For where we want to go, we need to build for people instead of charts by embracing experience analytics—a new data layer that captures real-time human emotions and motivations. With human-centric insights, we can create more intuitive and satisfying product experiences that customers truly love.
At Sprig, this has always been our mission. We initially launched with in-product surveys and award-winning AI analysis to enable our users to hear from their users at scale. Our Surveys product now provides experience insights for the fastest-growing tech companies, including Figma, Calendly, Ramp, Notion, and Coinbase.
Over the past year, we have expanded beyond Surveys to become a multi-product platform with new products: Replays, Heatmaps, and Feedback. The vast and rich experience data sets unlocked by this comprehensive platform have been instrumental in our customers’ continued product success. To further the power of Sprig and complete our long-term product vision, we have been hard at work building even more transformative and innovative AI capabilities into our platform.
Today, I’m excited to announce Sprig 2.0: the next generation of AI-powered product experience. Ask anything about your product—Sprig AI observes your user experience and generates product recommendations to help you hit your goals.
Sprig 2.0 leverages AI in three groundbreaking ways, so you can deeply understand your user experience at scale to build a better product:
- Ask: Ask Sprig AI any question about your product, and it will identify the most relevant experience data to collect from your users and product.
- Observe: Sprig AI observes your users' experience in your product to capture real-time data and uncover insights into their behavior and feedback.
- Recommend: Sprig AI analyzes your experience data and recommends specific actions you can take to improve your product.
1) Ask:
Start with the AI Study Creator – a prompt-based study generator to effortlessly capture experience insights. Ask Sprig AI any product question, such as how to increase onboarding conversion, and Sprig launches a study based on your question right within your product. For Survey or Feedback studies, Sprig AI will even write the questions for you. This powerful new workflow empowers product teams to effortlessly start collecting experience insights in real time, whether you have a few hundred or a few hundred million users.
2) Observe:
Second, Sprig AI observes user interactions within your product to gather real-time data and reveal valuable insights into their behavior and feedback. Sprig now offers 4 AI-powered products to help you watch and learn from your users at scale:
- Replays: Capture targeted user behavior video clips with AI that analyzes and groups clips into actionable product themes.
- Heatmaps: Capture a visual representation of your users’ in-product interactions with AI that does the analysis for you.
- Surveys: Launch AI-generated surveys right in your product in minutes, and watch AI analyze the results in real time.
- Feedback: Capture continuous feedback right in your product and get AI-powered experience insights based on the responses.
Across Replays, Heatmaps, Surveys, and Feedback, Sprig AI now summarizes every study you run, distilling your extensive product experience data down to the exact challenges, friction, pain points, and blockers at specific points in your users’ experience.
3) Recommend:
Sprig AI Explorer takes these insights a step further with cross-study AI analysis that continuously reviews the experience data captured throughout your product. AI Explorer combines Heatmap, Replay, Survey, and Feedback data holistically across your product experience so that you can analyze the user experience for a particular flow, a specific group of users, or even your entire product. The result? A prioritized list of AI-generated issues and opportunities your customers face across their entire product journey.
Sprig AI Recommendations makes these issues and opportunities actionable by providing specific product suggestions to help you build better product experiences. With this transformative product, AI is now a thought partner for not only understanding large-scale datasets but also providing solutions to improve your product at scale.
At Sprig, our mission is to empower product teams to make experiences that matter. With the expansion of our platform to a complete AI-powered product experience platform, we are excited to continue contributing to our customers’ successes and growing our impact. By moving beyond Surveys and expanding our AI capabilities, we’re empowering product teams to continuously understand and implement actionable ideas to achieve their goals.
Sprig 2.0 unlocks new ideas to drive additional product growth as our customers continue to scale their businesses. As we move forward, I cannot wait to partner with you to build experiences that matter. Create your free account today and start building better product experiences with Sprig!