Thematic’s theme taxonomy is more flexible and specific
With Medallia, you start with building your own topic model (topic list and structure) by creating rules. Sometime in the future, you may be able to train the AI with examples. Their approach works well for companies in industries where issues are likely to stay the same, but it’s time-consuming to set up. To make changes, you need to instruct a Medallia specialist to do this, which adds time and cost.
If you have a new or unfamiliar dataset, you can’t simply pipe it into Medallia for analysis - the set up steps have to be completed again. Once this is complete, new themes can be identified in your data.Thematic uses a unique bottom-up approach to discover all themes in text. The AI automatically builds a hierarchical code frame from text, which you can easily adjust to make more relevant. Themes are custom, industry specific, and can be refined on the spot. If you have a new dataset, you can connect it to Thematic and dive into the analysis with very little set up time.