Data quality is no longer a dream, it’s a workflow. In record time, Avo Inspector extracts your event schemas to let you build a tracking plan and systematically fix your data, one resolved issue at a time.

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

Congratulations @logason @stefaniabje on the launch of Avo Inspector, Stef and Sölvi! 🎉 Finally, a solution to rescue data teams from the nightmare of messy data and endless patching. Here's to sparking hope and paving the way for better data quality in minutes, not months! 🚀💡

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 😍

Thank you so much for your support @alexandrabjarg !

@alexandrabjarg Yay! Thank you for the kind words Alexandra! 🥹 We're so proud to be with you on the GRID journey 🚀

@alexandrabjarg thank you so much for your kind words!! GRID has been so helpful in my recent work with customers and I'm so glad we can be a part of your stack!

@alexandrabjarg Thank you @alexandrabjarg! Grid just came in strong for us in our recent pricing iterations 🙌

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!!

@alonbartur what a huge compliment to get this kind of feedback and praise from you!!

@alonbartur thaaank you, Alon! It's always been a please to riff on this problem with you and it's an honor that you like what you see here. What a testimonial. Thank you for sharing.

@alonbartur That is amazing to hear! 🙌

@alonbartur Thank you Alon!! 🙌 Also; as the product onboarding expert here, any feedback on the sandbox experience we've built out on avo.app/sandbox?

Avo has been a game changer for us, alerting us when we have data issues in dev or staging and virtually eliminating data quality issues from making it into production. Data quality has gone from a problem that keeps me up at night to something I barely have to think about!

Thank you so much for sharing @ajrharris ! So happy you're leveraging Avo and that it's eliminating data quality issues!!! 🤩 What a piece of mind 🥹

Avo has chosen their niche and they do it really, really well. We've been using Avo for the better part of a year: it's easy, intuitive, and above all, effective. It has saved our Data team hours of work in developing and maintaining a tracking plan. And it has saved our Engineering team hours of work, thanks to Avo's codegen feature.

Thank you so much for the review, @alex_cookson ! It's been fantastic to work with you and the Musora team <3 I'm so glad to hear that the Avo impact is working 🤩 Both for the Data team to prevent downstream data patching and save time on upstream management, and save time for engineering on implementation.