In today's product landscape, experimentation is essential for Product Managers aiming for success. Understanding how new product features affect critical metrics is crucial. 

There's a direct correlation between a company's experiments and revenue. Giants like Netflix, Amazon, Google, and Shopify conduct thousands annually, highlighting the power of experimentation.  

However, it goes beyond A/B testing, including feature flagging, progressive rollout, and targeted delivery. This holistic approach maximizes product potential while minimizing change risks. 

In this session in partnership with Converteo, we'll explore 

• What experimentation means for product teams
• Which are the different methods
• When you should run / not run a feature experiment
• How to implement Experimentation in Product Teams