Create an “anyone with the link can view” to share analytics code snippets for your branch with anyone
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
Want to make a great impression during your next data job interview? Here are some tips from people who have successfully landed new positions, even in today's challenging job market. Follow these tricks and you'll be well on your way to standing out during your next interview.
Top 6 Data Jobs 2023 · 1. Data analyst · 2. Data product manager · 3. Data scientist · 4. Data engineer · 5. Machine learning engineer · 6. Analytics engineer
Use the events and properties detected by the Inspector in your existing tracking to quickly and easily build and edit your tracking plan
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.
Stay in the flow with faster event and property creation, observe your analytics implementation on your Java servers with Inspector, and more!
Branch history tells you exactly what has been going on in your tracking plan
Avo is now SOC 2 Type II compliant, proving our commitment to our security principles and controls 🔒
In the last couple of weeks we’ve been focusing on helping you design better tracking plans with Avo by showing you a tracking plan audit for all suggested changes in Avo. We also managed to squash a few bugs and improve a couple of things along the way.
Now you can connect Avo Inspector in minutes with RudderStack and PostHog integrations, clickable items on the review screen, speed up your workflow by duplicating similar events, and more 🚀
Try out our paid features on a 7 day trial, get better tracking plan documentation with name mapping, billing roles, pinned properties, and more stuff to make your work smoother.
On Episode 9 of The Right Track I interviewed Erik Bernhardsson, who built Spotify’s data team, Better.com’s tech team, and is now building something new. Discover his learnings from building data cultures, recruiting data journalists, and so much more.
Webinar on Tracking Data Quality next Wednesday, new option to configure your tracking plan audit, smoother navigation and more
We've been busy in November and have a lot of exciting updates to share with you. Incuded in November's product update are 12 new destinations, improved property overview, Avo Audit (a dbt package) and more!
Now it’s even easier to plan, implement, and govern your event-driven infrastructure. RudderStack’s plug-and-play data pipelines make it easy to stream real-time behavioral data from your websites and apps directly to any destination in your stack. With Avo, you can seamlessly govern your RudderStack implementation and optimize your analytics workflows.
Avo Audit package is live! Audits for event volume anomalies, with macros for more types of issues coming soon.
At Avo we believe that to deliver a good product the whole team needs to have a good understanding of the product. Our core design role is the product designer. Their responsibility is to do user research, design user flows and create beautiful and functional screens. With that the whole team can have the foundation and vision they need to deliver a great product. We work in a 3 week rhythm and the design process is framed by that.
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.
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.
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.
Our team at Avo has spent the past several years obsessing over how different companies use data. We’ve all been in the trenches trying to make sense of the data. We know what it’s like to overcome data mistrust. And we have felt the pain of having to unwind the damage caused by poor data practices.We know there has to be a better way. We also know it’s more than a tools problem. It’s also a human problem.That’s why today, we’re introducing The Right Track podcast and community. A place for us to discuss how to build better data cultures. No matter where you are in your data journey, we invite you to be a part of it at therighttrack.avo.app.
Today, we are thrilled to launch Avo for PMs, a guided workflow that cuts out the busywork from your analytics process! Design better data from the start, implement it right the first time and sync it to all of your analytics tools from one place.
We've written a lot about best practices around data management and tracking plans, so we figured it was time to show you all how tracking plans work here at Avo. Here's how we go from pre-release planning to post-release success by dogfooding our own product.
Spending hours going back and forth with your data team and fellow developers probably isn't how you want to spend your day. But, too often, the feedback cycle around analytics feels like a snake eating its own tail. The good news is developers can help stop the chaos. Here's how.
The future of tech calls us to think more holistically, sustainably, collaboratively, and quantitatively. No one represents this (at least, in our book) as well as our inspiring Co-founder and CEO Stefania Olafsdottir. Here are three myths and a truth from Stefania to help the current and next generation of founders build great things.
Being an app developer I always liked how easy it is to add crash collection to my apps, but after switching to library development I’ve found myself in an opposite situation. How do I track and analyse crashes in my library?
We've launched a new feature that allows for auto-publishing to Amplitude, Mixpanel, Segment, and Webhooks each time a branch is merged. This helps you seamlessly create a single source of data truth and foster better collaboration across teams in your product organization. If you need help along the way, know Avo is ready to partner with you on your journey to good analytics governance.
Bad data doesn't just waste your time, it can cost you money and get in the way of making the best product decisions possible. But good data doesn't just happen all on its own. To ensure you get the most out of your data, you need to follow these six tracking plan best practices.
Data is a powerful thing. But it needs your help to do good. Without the right mindset, your data might be more confusing than it is convincing. Luckily, we rounded up some great advice from Geckoboard CEO Paul Joyce to help you bring your data back from the dark side.
We talk a lot about how to create a great tracking plan. But what happens when you need to update an existing plan after your product launches? Here are some tips for revising your tracking plan to capture all the data you didn't know you needed (without breaking anything).
You know that the secret to stellar data is a best-in-class tracking plan--but what if your leadership hasn't seen the light? Check out our latest to find out how you can get everyone in your organization excited about, and invested in, your tracking plan.
Why work harder when you can work smarter and faster? Here are nine of our favorite tracking plan templates to help you get up and running with good, clean data ASAP.
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.
Which sounds more enjoyable: Planning how you'll gather all your data or getting to use it to build a great product? If you're like us, the latter. So we designed our Ultimate Tracking Plan Template to help you save time planning and get to using your data faster.
Today we open our code style to the public. Please share your ideas of new items to add to the guide in the issues section!
Turns out it takes a village to create a great tracking plan. Find out who you need to include in the development of this vital analytics implementation document--and what each person brings to the table--in our latest.
If you've started your journey to becoming data-driven, chances are you've had a Bad Data Day. It's ok, we've all been there. Here's how a tracking plan can help you turn that Bad Data Day into a Fantastic Data Feeling.
One point of feedback we’re most proud to consistently get from our customers is how using Avo makes collaboration across teams so much easier. The right collaboration tools can make massive improvements to workflows, no matter how big or small your team is.We continue to work hard to realise this vision for our ever-growing customer base, and we’re excited to tell you more about how to make collaboration within Avo even more seamless.
We all make decisions in the moment that may not be in our best interests and decisions about data are no different. But if you've made too many of them and find yourself in a pile of data debt, clean analytics tracking help you pay it off and keep your balance in the black moving forward.
We started Avo in 2018 because we believe we can change the way organizations use data to make better decisions for their customers. We’ve been blown away by the impact Avo has had on data quality and developer productivity for our customers. From startups to consumer brands like Rappi, Patreon, TripAdvisor, Sotheby’s, and more, it’s been incredible to see our product fundamentally change the way PMs, devs and data scientists collaborate to plan, track and govern their product analytics. Today, we have some exciting news to share about our progress, a new powerful product offering, and where we’re headed next.
We're very excited to release this first iteration of our new docs, an integral part of making sure we're servicing you and your team in the best way possible
Every application is reviewed blind to ensure fairness.Avo is committed to hiring talent of diverse backgrounds because not only does the data now demonstrate the business validity of having an inclusive workplace, but because it’s the right thing to do.
The age the data dictatorship is over, and its given rise to a promising new era self-service data democracies. We recently sat down with the VP of product marketing atone of the most data-democratic companies around: Justin Bauer from Amplitude.
There are hundreds of tools available to help you do data governance well. Overwhelmed? Here are our top 16 picks for improving data usability and security in 2020.
Our mission is to enable product teams to ship quickly without sacrificing data quality. It’s critical we can measure developer productivity through our own product measurements, not just based on our guts or a nice comment from a customer, but to have that qualitative data inform a measurable impact in data.
A good tracking plan is the key to unlocking the kingdom of clean data. Here's our definitive guide to creating a tracking plan that will help you meet your goals, collect better data, and build great products.
At Avo, we believe data and analytics is a team sport. Being able to communicate effectively and efficiently with your team should be table stakes for all tools in your growth stack. That’s why we’re especially pleased to announce Branch Collaborators in Avo!
How mature is your data? Is it a fully-grown partner that helps make your company more profitable and more efficient, or a data infant that muddies up your operations as its fed by messy governance? Find out why you should care about data governance maturity--and how to measure it.
Companies go through analytics maturity levels on their product journey. Analytics debt happens along the way, and here's how you deal with it.
Best practices: Be more efficient when shipping product with reliable data. Track the right product metrics by aligning stakeholders on the purpose of a product release. Find the highest-impact lowest-effort tracking to understand its success – for every feature release.
For any online business, it’s increasingly critical for companies to understand their customers interests, behaviors, and experiences. To put it bluntly: understand your customers or someone else will. We have all this great technology, why are our product analytics so broken? Why is it so hard to find data we can rely on? Why is it so easy to make the wrong decision?
Implementing and verifying analytics on mobile devices is rarely favored by developers and often becomes a source of bugs and misleading data. The main problem is the tools to verify the correctness and to handle regressions. Today we are introducing the Avo Mobile Debugger as open source SDKs for Android, iOS and React Native as a solution to the above problem. Use the debuggers to make your mobile analytics more robust, faster to implement and easier to test and your developers happier.
Many startups don’t worry about their data infrastructure until it’s already a mess. Taxfix was a two-year-old mobile startup with a plan to do things differently when it partnered with Avo. Together, they created a system and a data culture within Taxfix that would grow.
For over 70 years, Fender has been a trusted musical instrument brand that’s helped countless people learn to play guitars, bass, and ukuleles. But when it came to data organization, even this established, successful company knew their approach needed some fine-tuning.
Joybird is taking the furniture industry by storm through a combination of built to order furniture and dedication to the complete customer experience. Having left their spreadsheet days behind them, analytics tracking at Joybird is much simpler.
Rapchat is a revolutionary app with over 7 million users that allows anyone to make music on their phone and share it. Seth adopted Avo early on in Rapchat’s tenure, and has been instrumental in keeping his analytics clean from the beginning. Before Avo, data planning and design was done in spreadsheets.
Rebank is the financial operating system for startups, aggregating bank accounts and payments into a single view for founders. As the team started to grow, engineering tasks like analytics started to get more complicated. Simon White, Co-Founder and CTO, recently adopted Avo to improve data quality and save engineering hours.
Doodle is the simplest way to schedule meetings with clients, colleagues, or teams. Despite an engineering-heavy culture, Doodle chose to buy Avo, rather than build their own solution. Read on to find out more.
As an Engineering Manager at Rappi, I’m in charge of managing a cross-functional team made up of Android, iOS and backend engineers that are focused on developing and maintaining features that our end user perceives. My role is to take them from ideation and concept phases to testing and production, while remaining involved form a hands-on technical perspective.
Termius is the SSH client that works on desktop and mobile. It provides software engineers with a complete command-line interface (CLI) accessible on any device, allowing system administrators and network engineers to access their terminal from anywhere. It’s used by over 45,000 engineers daily, and is famously installed on Steve Wozniac’s iPhone.
Patreon is an international platform used by artists ranging from writers to musicians, gaming creators, and Youtube content creators. It provides membership tools for artists that help them obtain funding from their fans, or patrons, and to make a sustainable and predictable living off of their creative output.
Teatime Games is reinventing social games for the next generation of mobile players. With a focus on iOS and Android, the team is developing a live platform technology that supports a new type of highly personal, face-to-face gaming experiences, where players can see the reactions of the people they are playing with.