Trypp UX observability for Product Teams

UX metrics and insights to refine post-launch experiences.

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A UX observability platform for product teams to understand post-launch behavior. Trypp automates key usability metrics like Time-on-Task, completion rates, and error rates, providing actionable insights to enhance user experiences and improve the user journey
Trypp UX observability for Product Teams gallery image
Trypp UX observability for Product Teams gallery image
Trypp UX observability for Product Teams gallery image
Trypp UX observability for Product Teams gallery image
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Launch Team
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Maker
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Hi everyone, Thanks for checking out Trypp on Product Hunt! 🙌 We’re excited to introduce a platform designed to help UX Design, Product Management, and User Research teams gain real-time, actionable insights into post-launch user behavior. By automating key metrics like Time-on-Task, task completion rates, and error rates, Trypp enables teams to understand user journeys with precision, making it easier to identify areas for improvement. With Trypp’s UX observability, you can track how users interact with features and iterate quickly to enhance their experience. UX directly impacts revenue: The post-sale experience, like onboarding, feature adoption, and usability, plays a huge role in retention, upselling, and customer satisfaction, all of which are key drivers of recurring revenue. Trypp empowers teams to optimize these areas and drive cross-functional success. We’d love to hear your thoughts, feedback, or questions about how you're tracking user behavior or improving the user journey. Let’s connect and discuss! Thanks for your support! 🙏
Jose Carrillo
Hey everyone, Jose Carrillo here - Founder of Trypp Over the past few months, I’ve been focused on developing an MVP for Trypp, driven by countless conversations with UX designers and researchers. One key challenge that kept coming up was tracking the success of design decisions post-launch. It turns out that getting clear, actionable insights on what works (or doesn’t) is often more of a guessing game than it should be. This is where Trypp comes in. We wanted to empower UX professionals to make informed, data-driven decisions with real user data—so you can see exactly how users interact, understand where they succeed, and identify the pain points after launch. You already did research and usability testing, now how does it perform in production? Trypp is all about Observability for UX, and today I'm excited to share some of its core capabilities: ✨ Track real user interactions automatically - Understand exactly where users struggle or succeed post-launch with clear visual task timelines and insights. 📊 Gain UX Metrics at a glance - Quickly access task completion rates, average time on task, and detailed interaction sequences—perfect for identifying friction points and refining experiences. 🤝 Designed for Product Managers, UX Designers, and Researchers - The tool is built to fit into the workflows of those who need it most, so you can focus on building a great experience rather than wading through raw event data. Some early use cases we’re really excited about: 🛠️ Refining Onboarding Experiences - Identify drop-off points in onboarding tasks to improve user retention, ensuring users get value out of your product from day one. 🔍 Post-Launch Feature Analysis - Track how new features are used after deployment. Understand user behavior, validate assumptions, and adjust based on real data. Our goal with Trypp is simple: to help UX teams track, monitor, and ultimately improve their product experiences in a proactive, data-driven way. My co-founder and I are here all day to answer questions and hear your thoughts. Would love to know—what kind of insights do you wish you could have post-launch to really understand your users?