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The Science of Ranking Features Product managers, here’s a homemade process to build features that work for your audience.

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Defining and ranking features lead to anger, anger leads to hate, hate leads to suffering.

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« That killer-feature-we-are- working-on-for-8-months HAS to be built. Because it’s cool. »

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This is bad and you should feel bad.

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The path to success is a two factor formula…

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Time…

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…And user needs.

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Speaking of user needs, do you know the Kano Model ?

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4 Principles • Un : User need score from 0 to 10 • t : time factor (1, 2, etc. but no 0.5) • Final score will be defined by Un/t • The closer to 0, the less important

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Defining Un Feedback is essential. I counts for 5 points out of 5.

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Defining Un - Combo coeficients • “Must Be” = 2. • “Delighter” = 1. • “Perfomance” = 1.5.

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Let’s put it to practice now.

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Consider a Facebook Login feature.

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My users rated it 2.5/5.

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We considered it as a performance attribute.

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Therefore, Un = 2.5*1.5 = 3.75.

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Now, let’s say we can built it properly in 2 hours.

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The feature get the final score of 3.75/2 = 1.875

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There you have a simple, light process to organize your feature.

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The Science of Ranking Features This article was originally built on Medium : http:// medium.com/p/613f89d2c6b6

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Gilles Bertaux http://gillesbertaux.com @Gilles_Bertaux About the author

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