Having got Hazlo and Gyana earlier and struggled with them, I was not sure about this. Happy to say, at least in terms of ease of use, Deep Talk is superior. Setup is fairly straightforward and once you are logged in there are the onboarding panels which, for me, was sufficient to get started on my first project. Now while the journey is fairly easy some of the language could be improved to make it more intuitive. For example, after uploading my data set I was left confused as it didn’t allow me to proceed. Only when I pressed the ‘upload new file’ did it upload. I thought it should have been ‘confirm upload’ if that was the purpose. There are such minor improvements that can be solved easily.

Anyway once the data was uploaded it took about 3-4 minutes during which it just showed ‘training’. Again here I wasn’t sure what was expected of me until it was finished. But once it was done, the outputs seemed impressive. The sunburst chart sure is attention grabbing. It also lets you know each time how much rows/credits gets used up before processing, which I found helpful.

It’s kind of hard to assess the authenticity of the results with a few trials. I imagine it would take at least a few dozen data sets and training during which the AI gets better before one can truly assess it.
Having said that, I must say that the use cases of these go beyond just customer support. Sure the integration is with Intercom but you can upload your own csv data. Imagine what that can yield. I have a few sentiment analysis tools and currently looking to see if I can get common data sets that I can feed to both and if it succeeds then I can use it for listening, sentiment analysis, SM growth, maybe even drive sales. Another idea that struck me is using Deep Talk in tandem with Market Muse for competitor analysis!!

All the best to the team. I hope you guys take the feedback from this community to shape your roadmap- it will be a win-win ✨