Avo Inspector — Find and fix your data quality issues in minutes, not months

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

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!

Avo is truly an incredible tool for making sense of your data tracking and ensuring good hygiene with the way analytics are managed at scale. Hats off to @stefaniabje and @logason for the launch!

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!!

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 😍

Congrats on the launch! This was such a huge problem that teams faced when I was at Amplitude. The customers I talked with who had Avo implemented were always steps ahead of others when it came to having good data for analysis.

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! 🙌

Congratulations, @stefaniabje, @logason, and the rest of the Avo team, on today's launch! Avo Inspector 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!

This is unreal! In my product analytics days, these data discrepancies were an absolute PAIN that caused a ton of frustration and distrust among our customers, their teams, their departments, and more. These bugs/discrepancies would slowly build up (often in silence) until all of a sudden there was a massive accumulation of data debt that often took months, if not years, to resolve. Avo's Inspector can help data teams untangle this mess and prevent it from ever happening again, and the interface helps them do it with ease. Couldn't be more excited for the Avo team. They've worked so hard to get here and the final product is a thing of beauty.

Hey y'all! I’m Bragi and I’m one of the makers behind Avo. I call myself a Product Developer and for many that would mean a full stack developer, for others someone who does a lot of this and that - mainly that 😅 What it means to me is that I’ve had an incredible chance to work deeply in many realms and aspects of the product from front to back and along the z-index as well. But my main responsibilities lie in the front-end. I don’t know if this is the first framing of working as a developer being some kind of a 3D experience, but because of the opportunities I’ve been given to be involved like that it’s been an extremely exciting, engaging and rewarding kind of work for me personally. Add to that trying to crack a problem a lot of people are dealing with and has a huge impact on products. So we’re all truly pumped to be delivering this to the world and I can’t wait for people to start their journey of getting to a state of real data *quality* in mere minutes, even seconds. And this is just the beginning 😎 Can’t wait to hear what you think! Slide in my DMs, catch up for coffee, send me a pigeon. I’m here 🤩 -Bragi

Congratulations Avo! Y'alls commitment to clean data is unparalleled and the fandom you have built shows it. Super impressive update to the app!

Looks great! We have so many founders in our portfolio who are looking for a tool to get their analytics stack up to speed, looking forward to recommending Avo and it’s slick new brand 👏

Congrats on the launch @stefaniabje. Avo solves the most mission critical problem in Product Analytics.

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

Congrats team! Long time Avo fan.

What a killer release! We see a lot of customer data at Segment ... which means we see a lotttt of data quality problems. I've seen teams devote entire _humans_ 🙀 just to find their bad data. The world needs easier ways to find and fix data problems in real-time! Love this new Inspector (and integration with us!) to bring us closer to that goal, fixing one poorly-named-property at a time 🔥

It's been almost exactly three years since my initial review of Avo for PMs, and my opinion hasn't changed: I can't imagine managing data without it!

incredible stuff you all are building! Tasman Analytics appreciates the work you do and the support you provide! Engagement with our clients are significantly better with Avo in the mix ♥️ !

Huge congrats on this awesome launch, you continue to inspire me on so many levels!🚀 As someone working at HEIMA, a 3 person startup which launched 9 months ago we have extremely limited resources and lots of hats to put on🤠 Avo has already allowed us to easily build pretty decent event schemas and with the new Avo Inspector I think I am finally ready to start finding the root causes of all the "none"-s in our data 😅 🥳

Going to give this a try, team Avo Inspector. Looks interesting.