Iteratively is a smart tracking plan for smart companies. The best teams use data to inform their decisions. The problem is that most organizations don't trust the data that they're capturing. Data integrity issues lead to teams losing confidence and ultimately, poor decision making.

First off, really excited to have @kevin hunt us, thanks so much! Hey Product Hunt 👋 I’m Patrick, the Co-founder of Iteratively. We’re on a mission to help product, growth and data teams capture high-quality data they can trust. My Co-founder @ondrej421 and I spent six months doing extensive customer research, interviewing over 400 product managers, data teams and engineers. We found the number one pain point was bad data. Having experienced this pain ourselves at Atlassian and Microsoft, we finally heard enough and knew there must be a better way. …enter Iteratively 🚀 At our core, we’re a schema registry for your analytics. Our product consists of an intuitive web app for product managers and analysts to create and evolve their analytics tracking plan (schema) and developer tooling for engineers to quickly and easily instrument the tracking. Always in sync, teams can work cross functionally to ensure event tracking is implemented accurately and according to spec, so data consumers have high quality data to work with. And what’s more, we integrate seamlessly with companies’ existing data stack, SDLC and processes. A few product highlights: 📈 Build back confidence in your data We take a quality-first approach to analytics tracking with a schematized tracking plan, type-safe SDKs, unit testing and integrations with CI. With Iteratively you get high quality data that’s ready to be consumed, no munging required. 🏆 Make data a team sport Iteratively is architected from the ground up to support collaboration. With an intuitive web app and best-in-class developer tooling we bring product managers, analysts and developers together to conquer and evolve their analytics tracking. 🔐 Never compromise data privacy We ensure you stay compliant by blocking PII data from leaking to your analytics providers and give you control through thorough review and approval workflows for optimal oversight and data governance. Having early customers meant we could iterate quickly, ship fast (early 😅) and get rapid feedback on what we were building. A special thanks to the teams at Box, Artifact Uprising, Beekeeper, Dribbble, Octopus and many more for bearing with us since the early days 💫 ✨We just launched a free tier of our product so you can sign up today and check out the product for yourself. As founders we still work with all our users so we look forward to meeting you! 🙏 Your feedback means the world to us so please comment and let us know what you think 🙏

@kevin @ondrej421 @patrickt010 Really love Iteratively-- it's made a big difference to the level of scrutiny we apply to our tracking, and that's meant that all of our data is more reliable (and accessible) which means we use it more, and end up building a better product more quickly! They have a free plan so every startup should be using this for setting up their tracking. Folks, what advice would you give to startups early in their tracking and analytics journey?

@kevin @ondrej421 @_pulkitagrawal Pulkit, thanks for your support! It's been great working with you and the team.

@kevin @ondrej421 @patrickt010 How were your customers solving this problem before? I'm a bit of a SQL junky, so it seems using dbt to model away these issues is pretty simple. I'm curious why that might not have worked for others.

@mike_seekwell Hey Mike, great question! We're huge fans of dbt and are actually working on a dbt package at the moment as many of our customers use dbt. Using SQL to munge the data is the only solution many data teams have today, assuming you're getting data to start with which is often not the case. However, this doesn't prevent changes upstream from occurring which cause headaches farther down the pipeline. Similar to dbt tests, we're making it easy to assert that your analytics are firing correctly as part of your engineering teams existing test suite so that you don't have to worry about unexpected changes breaking analytics.

@blader 🙏 It's great to have you and all of Runway in the family. Here's to data you can trust 🥂

@blader thanks so much for your support, you've been there since the beginning of our journey 🤩

@blader It's been awesome working with you and the team at Runway! 🙌

I've worked with Patrick and team before. I can say that Iteratively is the best tool to manage your analytics tracking plan (among other things).

Thanks for the love @debgotwired. We're all really passionate about helping companies measure better - we're super grateful and excited that our customers are seeing real results from using Iteratively.

@jreeve0, yep I know. My short stint at Iteratively was awesome to say the least.

@debgotwired Love the content you wrote, especially the guide on product analytics!

@debgotwired I second what @jreeve0 said :)

@jreeve0 thank you! Really appreciate it. :)

Iteratively

Capture customer data you trust

Capture customer data you trust

Iteratively

Capture customer data you trust

Capture customer data you trust

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