LATEST POSTS

Four Ways to Make NPS a More Actionable Metric

BY Todd Olson on December 20, 2017

It’s been nearly 15 years since Bain’s Fred Reichheld first introduced the Net Promoter System (NPS), a simple calculation of customers’ willingness to recommend a brand. By asking a single question, “How likely are you to recommend us to a friend?”, NPS distilled the complex topic of customer satisfaction into a single number. And a decade […]

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3 Ways to Enlist Your Usage Data to Drive Product Development

BY Keith Fenech on December 4, 2017

Recently, Gartner revealed its top predictions for IT organizations for 2018. Among the expected buzz around technologies like artificial intelligence, blockchain, and the Internet of Things, was something a bit surprising to me. Gartner predicted that by 2022, most people in mature economies will consume more false information than true information. “Fake news has become […]

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7 Ways Cohort Analysis can Optimize Company Performance and Results

BY Dan Schoenbaum and Evan Kaeding on November 10, 2017

Businesses are constantly in search of useful tactics that improve their brand’s performance and bottom line. Cohort analysis is often overlooked, but it can yield insightful information and actionable advice to improve acquisition, retention and monetization. By definition, a cohort is a group of people who have a common characteristic during a period of time. […]

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Data-Driven Mobile App Iteration: Seeing the Wood From the Trees

BY Hannah Levenson on October 11, 2017

Imagine a lumberjack wanting to cut down a tree with his chainsaw. It’s a pretty simple, straightforward task. But what if the lumberjack never knew that he could turn the chainsaw on? Or that he cut down 1,000 trees when he needed just one specific tree? Not quite the ideal way to use the tools […]

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How to Break Free of the Feature Factory by John Cutler

BY Arne Kittler on August 22, 2017

In the closing talk of this year’s MTP Engage Hamburg, John Cutler looks at why his Medium post 12 Signs You Are Working in a Feature Factory touched a nerve for so many people in product development. There’s widespread tension in our industry, John says. While everyone talks about “outcomes over output” and says they strive […]

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Gibson Biddle - Wicked Hard Decisions at Netflix

BY Tremis Skeete on August 22, 2017

Gibson Biddle has worked in product at several entertainment companies, such as Netflix, Mattel, and EA, as well as educational companies such as Chegg and The Learning Company. In his presentation, he discusses “wicked hard” decision-making and how it is a practiced art, and can be very easy with practice. He discusses all of these […]

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The Only Product Metric that Matters by Josh Elman

BY Martin Eriksson on August 18, 2017

As product managers we spend a lot of our time thinking about product metrics, and all companies, from startups to corporates, spend a lot of time figuring out whether their metrics are good enough. Are the metrics good enough to raise money, or good enough to keep working on a feature or product, or good […]

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Gadi Weiszlovits Lahav and Richard Still - Scaling up without slowing down

BY James Gadsby Peet on August 17, 2017

Gadi Weiszlovits Lahav (Head of Product at FT.com) and Richard Still (Technology Director at FT.com) tell ProductTank London how to scale quickly and successfully. Their advice is to focus on the right technology, agile processes and great people to create the culture and operation you need. Digital Growth of Traditional Publishers is Possible The FT.com […]

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Tracking your A/B tests

BY Kevin Shanahan on July 27, 2017

This is the second of two posts that deep dive on A/B tests, expanding on a talk I gave at Google Playtime 2016 in London. In the first post I explained how to step up your A/B testing, and in this post I’ll look at how using a tracker spreadsheet can help you manage your […]

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Using Analytics to Raise Prices and win new Customers

BY Kieran Kilbride-Singh on July 3, 2017

In my experience, to succeed at data-informed product management you need to master “double-think” and be comfortable with two conflicting statements: “Be data-driven” and “don’t trust your data”. Blindly following data can lead to some bad things. Analytics products aren’t perfect – sometimes data capture gets messed up, and slight changes to code can cause […]

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