Since it was announced in the 2015 Conservative party manifesto the TEF (a measurement of excellence that will allow high performing colleges and universities to increase tuition fees) has caused quite a stir in the world of higher education. There has been a lot of opposition, non more so than the National Union of Students (NUS) which has discussed encouraging a boycott. Despite this, it is set to go ahead and institutions are preparing by trying to predict their scores. Beyond these first results they will have to decide how to improve their scores and which metric to target first. However, which metric should they start with and are all the metrics related so that a positive impact on one will have a positive impact on the others? Using Scatter Charts in QlikView we take a look using UNISTATS data.