Metrics are units of measurement. It is frequently used to mean a set of specific measurements taken on a particular process. They are very important to estimate the performance of any application. In this study, Multi Criteria Decision Making (MCDM) methods such as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Complex Proportional Assessment (COPRAS) and Grey Relational Analysis (GRA) are taken into consideration. MCDM methods are applied to solve decision problems with different number of conflicting criteria. Generally these techniques are evaluated using the parameters such as time complexity, space complexity, sensitivity analysis and rank reversal. In addition to these existing evaluation parameters two new evaluation parameters such as rank occurrence and repeated ranking are designed. Hence metrics are designed for these evaluation parameters. To apply these metrics on selected MCDM methods, a case study is conducted on teachers evaluation based on the criteria such as subject knowledge, interaction with students, time management, communication skills, pedagogy of teaching, care and attention and dedication and involvement. These metrics are applied successfully in these selected methods and TOPSIS attained better performance when it is compared to other methods.