Agile | Coaching | Product Management

Hyperpersonalization Hyperpersonalization takes personalization to the next level. While personalization uses data to tailor experiences to broad segments of users (e.g., "customers who bought X also bought Y"), hyperpersonalization uses individual user data to create highly unique and relevant experiences. It's about understanding each customer on a deep, granular level and anticipating their needs and preferences in real-time. Recognizing and Avoiding Data Biases In customer analytics, there's a common belief that "numbers don’t lie," but while numbers are generally reliable, they can still be biased. It’s crucial to identify these biases, especially when using AI algorithms to help with decision-making. Here are three common biases to watch out for, along with tips to avoid them in your projects: Confirmation Bias : This bias happens when you focus more on information that supports your existing beliefs. It can lead you to ignore different viewpoints a...