G2

Ellie H.

Data Analyst

Higher Education

Enterprise (> 1000 emp.)

9/15/2026

"Turning Thousands of Comments into Actionable Insights"

5/5

What do you like best about Explorance MLY?

I like how straightforward it is to use. The workflow is simple: I can upload a CSV of open-text survey comments, choose the right model, and select the fields I want to analyse, without needing any complex setup. That makes it much easier to turn large volumes of qualitative survey feedback into something actionable. In particular, the sentiment analysis and recommendation extraction help me identify key themes, issues, and suggested improvements that would otherwise take a significant amount of time to review manually. For me, the main benefit is that MLY makes open-text analysis far more efficient, while still giving me control over what’s being analysed. Review collected by and hosted on G2.com.

What do you dislike about Explorance MLY?

One area I think could be improved is topic categorisation. There are certain specific themes I’d like to be able to identify more easily (such as comments relating to dissertations) but there isn’t currently a dedicated category for this. I’ve also found that the model can occasionally miss fairly straightforward categorisations. As a result, I still do a quick manual review before presenting the results to stakeholders. The outputs are very useful for speeding up the analysis process, but I’d feel more confident relying on them directly if the topic coverage were broader and the categorisation more consistent. Review collected by and hosted on G2.com.

What problems is Explorance MLY solving and how is that benefiting you?

MLY helps us analyse thousands of open-text survey comments that would otherwise be extremely time-consuming to review manually and, in some cases, might not be analysed in depth at all. It can process large volumes of comments far more quickly than is feasible through manual analysis, while also identifying sentiment, themes, and recommendations across the dataset. This turns unstructured feedback into actionable insights that we can share with stakeholders much sooner. The main benefit is that we can make better use of the qualitative feedback we collect by spotting recurring issues and areas for improvement, and doing so at a scale and speed that would be difficult to achieve manually. Review collected by and hosted on G2.com.