Best practices

The risks and pitfalls of poor tracking documentation and oversight: Part 1

Here at Avo, a big part of our passion for building the best solution for data quality in product analytics is based on our own lived experience. Our Head of Data Sang Park joined Avo as a means of giving back to the analytics community and hoping to prevent the exact headaches and frustrations that he has dealt with over his years working in product analytics. Read about how he encountered challenges with data discoverability and documentation as soon as he started his career in analytics, and how Avo could have helped

Sang Park

, Head of Data

Best practices

Tracking Plan Guide: How to Pick Your Events and Properties

Your post-release hours should be spent celebrating and looking toward the future, not untangling a messy pile of data. To reach data this nirvana, instead of getting stuck in data purgatory, you need to choose the right events and properties. Here's how.

Thora Gudfinnsdottir

, Growth Product Manager

Best practices

The role of product analytics and data quality during a recession (Avo ROI calculator inside!)

Product analytics and data quality help achieve revenue growth and cost reduction. In this article, we discuss why product analytics and data quality are so important during a recession, and will highlight some of the challenges and benefits of using these tools.

Rhys Fisher

, Head Of Growth

Best practices

How to Track Your Next Release

Figuring out what to measure can be a daunting task. In this post, we share some methods to make choosing events and properties easier. The key to making sure your data stays useful is to align on foundational principles with your team. Self-serve analytics can easily turn into the wild west of data. Rather than just sending data in and figuring it out later, start with a plan which makes it clear how information should be sent to your tools.

Lex Roman

, Product and Growth Designer

Best practices

A Developer’s Guide to Project Dependency Mapping in Analytics

Project dependency mapping is the process of breaking down and understanding all the ways your organization’s tracking code and platforms connect to each other. For effective project dependency mapping in analytics, we can take a bit of ownership in cross-team communication with our data counterparts. By maintaining a single source of truth, we can eliminate data silos and make the process of scaling an analytics ecosystem easier for everyone involved.

Thora Gudfinnsdottir

, Growth Product Manager

Best practices

A Developer’s Guide to Analytics Implementation & Testing

Data drives decisions and growth, and is an important part of the development process - whether we like it or not. Creating standards and best practices around data will save developers time, and ease frustration around implementing analytics. We'll discuss five best practices developers can utilize to integrate analytics implementation and testing processes into their workflow.

Thora Gudfinnsdottir

, Growth Product Manager

Best practices