Data Driven Product Management

David Bland, co-author of Testing Business Ideas, spoke about his process in writing his book. True to his craft, he tested the content of his book as it was written. Watch the video to see David’s talk in full. Or read on for an overview of his key points. Build, Measure, Learn A repeating theme Read more »

In this ProductTank London talk, Helen Hewitt, Global Head of Data Transformation at Dow Jones takes us through her personal journey with data and her work at Dow Jones in developing their data culture. Her key points include: Driving a data culture How we view our data DataSET Watch the video to see Helen’s talk Read more »

In this ProductTank San Francisco talk, Scott Castle (VP & GM at Sisense) shows us how we can use data other than A/B tests and clickstreams to build products with longer, more complex user flows. Given that so many of us work in Enterprise and B2B products, where the user journey is rarely simple or clear, Scott provides Read more »

In this ProductTank London talk, Abba Newberry, CMO at Habito, talks us through how to use data to build a brand. As part of her introduction, she tongue-in-cheek acknowledges that part of the reason why product and marketing sometimes clash is that product teams tend to be very data driven, while marketing teams argue that data Read more »

In this case study, Dmytro Prosyanko, Product Manager at McKinsey & Company, Dr. Andrew Pike, Data Scientist, and Danylo Pavliuk, Product Designer at Temper, discuss why effective collaboration between product, data science, and design is crucial for successfully developing next-gen smart tech products. Overview The focus of this case study, co-authored by all three of Read more »

In this deep dive, Matt LeMay, author of Agile for Everybody and Product Management in Practice, explains what data means to product management and how it should be used to ensure that we’re building products designed to achieve meaningful outcomes. Introduction Nearly every conversation I have with a product team looking to take a “data-driven” Read more »

To help hiring managers and recruiters, like myself, decide whether or not to interview you, it can be a great exercise to treat your resume like a professional product. Here I’ll share some useful pointers on how to do just that. Having reviewed hundreds of product managers’ resumes in the last year I’m sure I’ll Read more »

There’s a lot of debate in the product and research communities about quantitative vs qualitative approaches to metrics, so we sat down with Tomer Sharon (MD/Head of User Research and Metrics at Goldman Sachs) to talk about how he uses Google’s HEART approach to track what matters. Formerly of Google and WeWork, Tomer talks about Read more »

The hype around artificial intelligence (AI) and machine learning has led to lots of jargon, so that this very powerful technique has become more difficult to understand. The tips below have all helped me, so I hope this article will help product managers to cut through the noise and better understand how AI can fit Read more »

While matchmaking is a core lever of any marketplace business, data crunched by Uber, Airbnb, and other marketplaces shows that engineering an optimal marketplace sometimes defies common sense. For example. You finish dinner and are ready to head home. You see plenty of Uber drivers, but you’re matched with a car 10 minutes away. It Read more »