Score cards are simple but prone to manipulation. Another approach from multi-criteria decision-making that is very useful for benchmarking is Data Envelopment

Score cards are simple but prone to manipulation. Another approach from multi-criteria decision-making that is very useful for benchmarking is Data Envelopment Analysis (DEA) [0], or the Analytic Hierarchy Process (AHP) [1] for group-decision making. A strength of DEA is that criteria are not weighted but that alternatives are compared against the efficient frontier (similar to risk/return in a Markowitz portfolio). DEA is very useful for benchmarking many alternatives. AHP uses pair-wise comparison which is less prone to manipulation than scoring is but it needs a group of people that do the comparison. [0] https://en.wikipedia.org/wiki/Data_envelopment_analysis https://en.wikipedia.org/wiki/Data_envelopment_analysis [1] https://en.wikipedia.org/wiki/Analytic_hierarchy_process https://en.wikipedia.org/wiki/Analytic_hierarchy_process