Noa Barbiro // Dima Goldenberg || Group Product Manager // Data Scientist & Team Lead, Booking.com

Noa Barbiro // Dima Goldenberg

Group Product Manager // Data Scientist & Team Lead, Booking.com
  • 14:45

The Fundamentals Of Building Machine Learning Products 

The product manager’s journey to find the product/market fit is akin to the Templars quest of the Holy Grail. Everyone wishes to find it, but nobody knows what exactly is it, where is it and how to start. Often this process is very “soft”, based on gut feeling, emotions, anecdotes, and a few conversations with customers. How then, in a world where PMs don’t decide what to have for breakfast without A/B testing their cereal, the decisions on the most crucial element of product strategy are made as a form of art?

In this session, we will discuss how the product/market fit can be discovered, measured, and improved upon using quantitative frameworks. How to use it to engage and convince stakeholders of the product strategy and specifically how to collaborate with the marketing, sales and customer success organizations to establish the required synergy to deliver a great product based on the newly-found and proven product/market fit.

Written by  Read 2676218 times Last modified on Monday, 23 August 2021 07:46
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