I have several variables that describe the quality of a trading relationship between a client and financial institutions (FIs) the client deals with. The variables are populated with observed data over a period of time. Lets call the variables A,B,C,D. The client is able to use this data to filter on FIs based on either A,B,C or D right now.
What I am trying to do is create a single rank/score which aggregates a chosen number of variables and a defined weighting to each variable based on what the client cares about. So for example, client ACME might create a rank based on xA + yB where x and y are weights applied to the two variables it cares about with other variables are ignored.
I need this rank to be simple and easy to explain to clients who are not stats experts. I welcome advice and suggestions on how to approach this problem.