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February 17, 2020
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Valuable Failure

by Clinton Keith on 01/25/11 12:53:00 pm   Expert Blogs   Featured Blogs

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The following blog post, unless otherwise noted, was written by a member of Gamasutra’s community.
The thoughts and opinions expressed are those of the writer and not Gamasutra or its parent company.


When exploring a new design, we want to generate information about its value.  Is a design element going to add to the product?  Is it going to be something the customer wants?  Is its cost offset by a greater value?  All of these are uncertain until we try it.

DiceUncertainty points to a lack of information. As a result, the work we do should focus on generating the highest quality information possible. 

This isn't done in many cases.  What is done is that we focus on avoiding failure and in doing that, we limit the information generated.

Take a simple example of the high/low game where one person has to guess a number, say between 1 and 100, and the other person, who knows the number, tells them if each guess is too high or too low. 

What is the first number guessed by the "expert" high/low player?  It's 50.  Every time.  Do they expect to pick the right number the first time? No. So why pick 50? 

As it turns out, guessing 50 generates the highest quality information. Picking 90 on the first guess would have an equal probability of success or failure, but it generates far less information than guessing 50.

Not all designs ideas are as uncertain as picking a number between 1 and 100, but there is always uncertainty. 

Often however, we create goals that ignore the uncertainty and try to prove the first guess as correct and as a result generate less information.  This is usually because our work cultures reward correct guesses and punish incorrect ones.

A better approach is to welcome information-generating failure as much as success.

This article was originally posted on my blog at

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