Data Driven Product Management
LATEST POSTS
Using Data to Build a Brand, by Abba Newberry
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 […]
Helping a Machine to Distinguish Toilet Flush From Kitchen tap: a Case Study
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 […]
Data-Driven Product Management by Matt LeMay
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” […]
Why you Should Treat Your Resume as Your Professional Product
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 […]
Keeping Track Of Your HEART - Tomer Sharon on The Product Experience
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 […]
Ground Rules for Applying AI to Product Management
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 […]
Testing Business Ideas - David Bland on The Product Experience
David Bland is the CEO and Founder of Precoil, an author, and a long-time practitioner of agile and lean startup. He joined us on the podcast to talk about how to create focus around what matters to your users by using different testing methodologies – a topic he and Alex Osterwalder cover in their book, […]
Optimal Matching for Marketplace Startups and the Role of Bias
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 […]
Data-Driven Blunders and how to Avoid Them
“We are a data-driven company”. You’ll travel far and wide before you find a tech startup that doesn’t pride itself on this claim. It’s become a tech staple – alongside free beer on Fridays, table football, and all the fruit you could dream of. And, while the logic behind a data-driven approach is undeniable, too often […]
Socially Preferable by Nathan Kinch
In this ProductTank London talk, Nathan Kinch, CEO at Greater Than X, examines the issues of ethics, privacy, and trust. He looks at how product managers can kick-start their ethics journey and ship products that make life better for everyone. The Edelman Trust Barometer is a resource that measures levels of trust in different contexts. It […]