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Cataloging the art and science of user experience design
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The Growth of Experimentation chart

Title: The Surprising Power of Online Experiments Context: If at first your design doesn’t succeed, multivariate test it against a control option. Synopsis: We’ll never admit it in polite company, but the truth is that a fair amount of the

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NPS web satisfaction ratings

Title: Net Promoter Score: What a Customer-Relations Metric Can Tell You About Your User Experience Context: Not everything that can be measured matters and not everything that matters can be measured. Synopsis: Actionable metrics are the Holy Grail of UX.

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Usage vs. Features graph

Title: Before You Plan Your Product Roadmap Context: Some of your users may use some of your features some of the time but if none of your users are using all of your features any of the time, you’ve got

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You would be more inclined to give feedback if great feedback were rewarded with...

Title: Why You Don’t Give Feedback Context: Want to hear what your users think about your product? Good luck with that. Synopsis: The squeaky wheel gets the grease. This old chestnut regarding the palliative effects of voicing one’s opinion about

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Designed button vs data driven button

Title: Should Tech Designers Go With Their Guts — Or the Data? Context: Can design efficacy be quantified by data alone? God, I hope not. Synopsis: Data is a mere tool, yet it is often mistaken for truth. It can

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Facebook's Conversion Lift dashboard designs

Title: Designing with Science Context: Don’t blind people with science when you can empower them with context. Synopsis: The ostensible topic of this article is Facebook ads (yawn), but the subtext of finding the best way to present large and

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The Next Feature Fallacy: the most tragic curve in tech

Title: The Next Feature Fallacy: The fallacy that the next new feature will suddenly make people use your product Context: “C’mon man! just one more hit…” —Junkies and people arguing for more features in your software Synopsis: There is only

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UX metrics equation: ux = (p*i) / v

Title: One Magic Formula to Calculate User Experience? Context: The holy grail of UX: quantifying a user’s experience. The bane of UX: math. Synopsis: It is impossible to quantify every aspect, input, factor, and interaction vector that go into designing

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MetricImage credit: Bobby Hidy, “Metric”, June 20, 2009, Flickr

Title: Choosing the Right Metrics for User Experience Context: Not everything that counts can be counted, and not everything that can be counted counts. Einstein said that. I just repeated it. Synopsis: Analytics are easy, right? Just treat all of

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