Learning experience
Most of the feedback will have been converted into a set of averaged numerical data representing the learner group as a whole. You now have to interpret this data. Broadly speaking, you are having no real problems if the scores hit a point somewhere a bit above the middle value. You cannot expect every learner to think that everything is perfect. On the other hand, remember that most people tend not to give low scores unless there is a real problem. Of course different learners will have different expectations. However, again the hope is that they will apply the same expectation level to each of the facets of the learning experience and this variable will average out over all the questions and learners.
There is one danger in using the average and getting a middling score. That is, if out of a group of, say, twenty learners, ten score highest and the other ten score lowest. This gives the appearance of a just acceptable result with no great worry. A score of 50% for the learning environment could be due to one side of a room being too cold. A score of 50% for relevance of course content could be due to a group of 20 where 10 thought the training was pitched at the ideal level and 10 who found most of the content already familiar.
So remember, you have to look at both the average score and the spread of scores across the group of learners.
Let's take a look at Looking for trends ...
