Overview

To understand Econ and Tech scores it is important to understand what information is considered and how it is processed to get to a result.

The graph to the right describes exemplary the relation among a part’s properties, blackboxes, and scores.

• Each part is made up of a number of properties and corresponding values.

• Blackboxes are small functions that evaluate one or several part properties by reading their values and calculating a result.

• The blackbox results are fed into scores where they are aggregated and produce a score result.

Calculating an Econ Score

By convention, Econ and Tech score results lie between 0 and 1. whereby 0 indicates poor suitability and 1 perfect suitability. The results in the [0, 1] interval are displayed as percentage values from 0% to 100% in the user interface.

The formula to arrive at an Econ score is to choose which blackboxes should influence the Econ score results and then calculate the Weighted Average of these results. Results of blackboxes also lie in an [0, 1] interval by convention.

An econ score might consist of the following blackboxes - the properties that are evaluated by each blackbox - and a weight that informs how much impact an individual blackbox has in relation to the other blackbox results.

In the above example, the blackbox Selection logic has the strongest impact on the econ score.

The results of the score calculation are displayed for each part and each score in an overview table like this.

• Factor
  The blackbox - and thus the corresponding properties - that are considered for the score

• Score
  The individual result which is calculated by the corresponding blackbox - without applying weights.

• Impact
  The weight, or impact, this blackbox should have in the overall calculation

• Subscore
  The weighted result of each blackbox how it is considered for the overall score calculation

Calculating a Tech Score

Profiles with Different Weights