LATEST POSTS

Testing Business Ideas - David Bland on The Product Experience

BY The Product Experience on October 30, 2019

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, […]

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Optimal Matching for Marketplace Startups and the Role of Bias

BY Philip Seifi on October 3, 2019

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 […]

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Data-Driven Blunders and how to Avoid Them

BY Jorge Rodriguez-Ramos on September 5, 2019

“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 […]

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Socially Preferable by Nathan Kinch

BY Nikki Gupta on September 3, 2019

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 […]

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They're Just Fancy Averages by Ben Fields

BY George Fletcher on August 22, 2019

In this ProductTank London talk, Ben Fields, formerly Lead Data Scientist at FutureLearn, looks at getting the most from the relationship between product managers and data people, working out people’s background understanding, the benefits of leading with a story, and how best to spread knowledge. There are three key aspects of how data science can […]

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Lessons From the Space Race: 3 Steps to Better Product Decisions

BY Anna Buldakova on July 9, 2019

What makes a great product decision? The answer to this question is like the Holy Grail of product management: it promises success and prosperity but no clear evidence that it exists. In this post I examine the way I think about the path: what has worked for me and helped me grow as a product […]

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How to fix Your Product Goals for Better Human Outcomes

BY Rob Boyett on June 27, 2019

Hello product designers, this is for you. I want to talk to you about product goals, metrics, and how they get muddled in the product design process, leading to some less than humane outcomes. But first a little story. In the early 1970s, two behavioural scientists working at Princeton University set out to investigate the psychology […]

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The Aha Moment - Abdelrahman Wahba on The Product Experience

BY The Product Experience on June 26, 2019

Egyptian-born Abdelrahman (Abdo) Wahba co-founded popular Arabic audiobook site Iqraaly – but it wouldn’t have seen its current success unless Abdo had taken the time to analyse deeply what made customers stay loyal. To do that, he had to get to his “Aha moment”. Now based in Berlin as the Head of Product for the […]

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Killing Zombies - Lisa Long on The Product Experience

BY The Product Experience on June 5, 2019

Ash Williams (Evil Dead); Columbus, Tallahassee, Wichita and Little Rock (Zombieland); Shaun (Shaun of the Dead); Alice (Resident Evil); Lisa Long (ProductTank).  All have killed zombies, and entertained us as they did so…  but only Lisa did so on stage at London’s ProductTank, giving us practical advice on how to kill off zombie features and […]

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Talking About Data Science by Jenessa Lancaster

BY Annie Witcombe on April 24, 2019

Jenessa Lancaster is a data scientist at Ocado Technology. In this ProductTank London talk, she discusses the importance of communicating data concepts to non-specialist audiences. We live in promising times for data science in business development. Many organisations are increasing investments to their data science and machine learning departments, acknowledging the valuable insights that these […]

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