Discovering auxiliary products using metrics of established products

In the early 2000s Amazon discovered that the rate of building their products could be accelerated by having all common infrastructure services that all their teams could use. This common infrastructure service is the now hugely successful Amazon Web Services. Metrics of established products contain patterns, which when closely examined, can lead to the discovery of ‘auxiliary’ products. 

Discovery of such products has intrinsic advantages of having some metrics to start with and matured hypothesis that are not trying to figure out the iteration-0 of the product. How to see patterns in the metrics to discover possible existence of such products? How to conduct lean experiments to set the stage for further validation and discovery of products? What should one be cautious about in such a discovery route? 

 
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Outline/structure of the Session

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Learning Outcome

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Target Audience

Product Managers, Product Owners, CEOs

schedule Submitted 7 months ago

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