It’s interesting that LLMs struggle more to give excel feedback, I think that it’s likely due to the lower amount of training data available when compared to questions re code issues (e.g, on stackoverflow which often have an explanation accompanied by a code snippet).

I found Python more useful for aggregating and exploring the data from the survey, especially when considering correlations between how individuals answered certain questions, the pandas library is really helpful for transforming and understanding the data!