96: Estimation Cases Should Ideally Be Imprecise

Many candidates are obsessed with generating correct answers in estimations they must make within cases or standalone estimation cases. This is a poor strategy. By obsessing about the final answer in a McKinsey estimation case, they ignore the structure of the estimation case which is far more important and forget why an estimation case exists in the first place - to test the ability to generate an answer with imperfect information. Listeners are strongly advised, as well, to ignore speed at the beginning and focus on good case technique.