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• Which dimensions to define or not? Or none?
• Where In which space to situate the criteria?
• How to define aggregating computations?

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Choose Dimensions in Spaces

Main idea: dimensions are non-contingent features to the space required to situate a variable or a criterion in the problem.

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Main idea: when possible, situate levers and criteria in the same space, in other words, place them at the same level of granularity.

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Levers are often imposed by the customer (typically some kind of prices and discounts): if the customer wants discounts at a product x customer family level, then so be it. Criteria, however, are often more vaguely described. It is up to optimization engine Optimization Engine configuration to translate the customer needs and requirements into actual criteria. A good practice is to seek to simplify the work at the future agents' local level, i.e. at the level of the lever. What is simple for a Value Finder? It is when it has few neighbors (ideally just one) and when these neighbors are shared with as few other Value Finders as possible (ideally zero).

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