Avo

Hi Product Hunt! 👋 I’m Stef. Long-time (recovering) data practitioner and CEO at Avo. Today, together with my Co-Founder, Sölvi ( @logason ) we’re launching Avo Inspector to spark a message of hope with the data teams of the world! Working with data is tough. If you’re involved with shipping analytics for a fast-evolving product, you know what I’m talking about. Governing data in an environment where data structures are constantly changing is nearly impossible. It leads to a huge mess and a vicious cycle of patching up broken data. It goes something like this: - You desperately want a design system for your data, because every analytics release is creating more mess. - But you can’t build a design system, because your messy data doesn’t fit into any kind of system… - And on it goes... That’s why we’re so excited to share Avo Inspector. With Avo Inspector, it’s finally possible to find and fix your data quality issues in minutes, not months. For many of us, this is a very personal (and triggering 😅) journey, because we’ve seen (and been part of) many data teams where we would have loved to have a solution like Avo. The alternative is a nightmare that involves months, years or an indefinite cycle of chasing our tails with ad-hoc solutions. These often started as a “quick SQL query” but always ended up spiraling into monstrous never-ending data quality projects. *Shudders*. But those days are- thankfully - over. We’ve built Inspector to rescue us from the data mess, l Avo’s lovingly designed solution engineered for data practitioners, so they can: ✅ Find the most critical data quality issues, and stay alert to them ✅ Collaborate with your team on a fix ✅ Mark the issue as resolved for now, and be notified later if the issue regresses ✅ Or set them to ignored and move onto more pressing matters Seeing all your data quality issues in one place, and building a baseline to better data is an achievement in itself. Inspector makes this happen by extracting your event schemas to let you build a tracking plan in under 89 seconds. From there, you have a detailed view of every possible inconsistency with your data design. But observability is just the first step. It’s time to move into action mode—systematically triaging and resolving issues to get you to better data, faster. This is possible through Inspector’s collaborative workflow, where you can resolve issues, leave comments, and set up custom Slack alerts to monitor your most important issues. We cannot wait for you to try out Inspector and get started on your journey to better data. The best part is that it runs natively in your CDP, and can be up and running and loading your events faster than you can make your morning coffee. Try it out today: Try Avo Inspector today if you’re a data practitioner who wants to start the journey to better data. It only takes a few minutes. 1. Head to www.avo.app 2. Create your workspace, or feel free to try out our Sandbox (https://www.avo.app/sandbox) 3. Follow the steps to install Inspector (it takes less than 89 seconds!) Please enjoy, and let us know what you think. ♥️ Stefania & Sölvi

Congrats on the launch! 🥳 at GRID, we can't imagine our product data stack without Avo - it's a game changer! Loving the new branding 😍

This is so awesome, I owned the data governance product area at Amplitude a few years back and this is exactly what customers needed/what I wish we had built!!

AVO is an amazing tool when it comes to finding SANITY in your analytic. It's a simple yet powerful insert into your stack that will make everyone's lives easier. Remember that time you had to list out 10 event names that didn't follow your naming convention or worse, didn't have the right data being sent? Avo handles that for you out of the box. 10/10 from me fam, congrats to the team who's been working hard!

This is amazing! 🤩📈 Congratulations to the team at AVO!

The new Segment destination for Avo Inspector is awesome! We got it hooked up in 3 minutes and immediately found a few critcal, easy-to-fix issues. Highly recommended

This is supremely cool! 📊 Having big debates on where to go, and what to build, when there isn't trust in the data is costly- and it's even more expensive to end up build the wrong thing. Often though, you just have to pull the trigger because it will be impossible to wait for a fix 😬 Big kudos to the entire Avo team for helping make product development more informed! 🙌