LATEST POSTS

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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Why Data is key in Building a Company That Learns

BY Alexandre Gabadou on April 23, 2019

Facing uncertainty is a company’s biggest challenge. It doesn’t matter whether you’re in a startup or an established company, when you start work on a product, you need to validate your problem, your solution, and find your market. When you scale, uncertainty arises in the form of change – your market changes, your users’ needs […]

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Embrace Uncertainty: the art of Applying a Scientific Approach

BY Wes Galliher on April 18, 2019

The rollercoaster ride that is product development is inherently chaotic and ever-changing. So, as process-oriented professionals, we product managers look to the structure and predictability of a scientific approach for certainty. Our inputs into such a scientific approach, however, are based on assumptions – either individual or corporate – that contain significant amounts of uncertainty. […]

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Strategies to get Started with Predictive Analytics

BY Sriram Parthasarathy on February 28, 2019

I believe that predictive analytics is poised to enable businesses in ways we didn’t think were possible several years ago. It’s starting to play critical roles in solving inventory problems, loan prediction, user personalization, customer segmentation, propensity to churn, product pricing, and many other areas, with the goal of enhancing customer experience and the bottom […]

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Unlocking Data Science to Build the Future of Work by Mike Hyde

BY Annie Witcombe on February 25, 2019

Mike Hyde leads data science and data engineering for Workplace, Facebook’s new enterprise product for company connectivity. He is passionate about using data and insights to create innovative company cultures, so he spoke at ProductTank London about data for growth. How do we attach data science and analytics to product development and management? There is […]

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Silence the Squeaky Wheel through Feature Prioritization

BY Jenny Wanger on February 7, 2019

Prioritization is challenging and stressful. Sometimes it’s because of micro-prioritization such as bug triage and moving one small fix in front of another. Other times it comes from the macro level: deciding to target new user growth versus lifetime value; spending time on user research or analytics; handling your manager’s feature request versus the tech […]

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Nail your Backlog Priorities by Figuring out Return on Effort

BY Rene Rosendahl on February 1, 2019

Prioritization of work is hard: it’s often more an art than a science. Unless you work in an organization that has mastered the delicate balance of work from a prioritized roadmap as well as customer requests, you too may often be faced with squeaky-wheel prioritization: The customer yelling the loudest (or the one who last […]

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How can Enterprise Product Managers Attain Maximum Insight From Limited Datapoints?

BY Nancy Wang on January 14, 2019

Not surprisingly, when you’re looking for customer validation for B2B products, there simply aren’t as many datapoints to draw from in enterprise product management as there are for consumer products. Therefore, every interaction counts and your enterprise sales force becomes one of your closest allies when gathering requirements and validating product assumptions. The following are […]

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