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Launch Week Recap
Product Analytics
June 24-28, 2024
Product Managers working on embedded devices often have a hard time getting the data they need. A disconnect with the engineering team can slow things down and make decisions difficult. Memfault is bringing these teams together with Product Analytics built for embedded development teams.
Product Analytics for embedded devices
Help your team understand exactly how your devices operate, and use the data to make better decisions.
- Track product engagement and adoption
- Monitor and analyze feature usage patterns and behaviors
- Correlate feature usage with device performance and reliability
June 24th | An introduction to Product Analytics for embedded devices
Explore the unique challenges of Product Analytics for embedded/IoT devices and learn what teams should consider to get the best data and make the best decisions.
June 25th | First Look at Product Analytics! Keynote & Blog
Product Release Keynote
Hear from our CEO and co-founder François Baldassari as he reveals Memfault’s newest launch: Product Analytics.
Building IoT Products Customers Love
Check out our launch blog to learn how Product Analytics can help your team build connected products your customers will love and trust.
June 26th | Get Started with Memfault QuickStart
Now it’s possible to start collecting device data in minutes. QuickStarts are available on certain architectures and operating systems. See how to get started.
June 27th | Partner Integration Announcement
See how we’ve partnered with Golioth to be the first out-of-the-box integration for their new low-code data routing tool, Pipelines.
June 28th | That's a Wrap! Join our LinkedIn Live Q&A Event
To cap off the week, we’re hosting a Live Q&A event on LinkedIn with our CEO, François Baldassari, and VP of Product, Heiko Behrens, to answer all your questions about Product Analytics and share what the future looks like for Memfault.
ABOUT
Introducing Product Analytics
Get the complete picture of feature usage and product performance without adding extra systems and steps to your process. Correlate faults, features, and external factors to understand real-world quality and performance.
Product Engagement and Adoption
Create your own definitions of usage and track and compare different segments overtime.
Usage Patterns and Behaviors
Understand behavior patterns and feature usage across different operating scenarios.
Feature Performance and Reliability
Understand what reliability and performance looks like for specific features, segments, and activities.