Learn how high performance product led growth (PLG) teams such as Mercedes, FedEx, brighter AI (and many more in Silicon Valley, Berlin and Cluj) use “data-informed” models to leverage the full potential of their organizational data. 🎯

This talk covers how product led growth (PLG) strategies can truly transform with the power of data integration and utilization.

- It starts by outlining the current landscape of how product and data teams collaborate today.
- This is followed by debunking some common misconceptions when it comes to cross-team working with product and data (e.g. data requests don’t have to be one-off transactions)
- Next, we showcase a real life client example on how product and data teams can collaborate effectively to drive product growth and roadmap upcoming features.
- Finally, we share resources that could be helpful for folks to take away with them to get started.

The ideal audience for this talk would be -

🌟 Product Managers, Product Owners

🧠 Data Scientists, Data Analysts, Data Engineers, Business Analysts

💡 Startup Founders / New Brand Creators

Level of knowledge is INTERMEDIATE with some basic pre-requisite knowledge on product feature building, product led growth (PLG) and data analytics.

Key Takeaways from this would be -

1. What are the misunderstandings that exist today in teams that want to bring product and data teams closer together? How can we resolve this inefficiencies?
2. How do the data teams measure what we are building? What does the data side of “measuring product outcomes” look like?
3. How can we integrate live or historical organizational data into the KPI driver trees or PLG frameworks?
4. How can we make the KPI driver trees have actionable insights? Can it provide information that can directly influence decisions related to the product metric being tracked?
5. How can product managers, product owners understand or interpret the insights and analytics (provided by data teams) without needing to be super fluent in technical knowledge?