My framework for Machine Learning Products — Part 1 of 3

The Product Coalition

Over the years of building Machine Learning products, I’ve come up with a framework that usually works for me. ML is a creative process, and Product Managers can add value For the sake of my sanity and for better readability, I’ll split this post into three parts.

Customer needs with JTBD–and other innovation insights for product managers July 15, 2016 - The Everyday Innovator – Resources for Product Managers and Innovators

Product Innovation Educators

Each week I scour articles, wading through the dogs, and bringing you the best insights to help product managers, developers, and innovators be heroes. The jobs-to-be-done framework is a good place to begin to understand customers’ needs. 3 characteristics of great product managers. (1)

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How do market researchers add experimentation to drive better business outcomes?


In an effort to get closer to Amazon’s benchmark of having 70% of the information needed, some product managers even go to nearby Starbucks to generate feedback from random patrons. And finding those are easier when you crowdsource that versus trying to talk to 10 or 20 people.

A Guide To Gainsight’s Pulse 2019 Product Announcements


Enablement Engine uses Gainsight PX to engage your own internal users through in-product guidance delivered directly within Gainsight CS (and soon other systems as well) to get new users up-to-speed or help managers quickly roll-out new processes to their teams. This score is also displayed in a centralized dashboard for renewal managers to manage their ongoing forecast. When it rains, it pours—products and features, that is!