We are using Storytell to build Storytell (aka "dogfooding" our own platform) by loading in all our past conversations with our users into the Storytell platform. This includes our past Zoom calls (as MP4 videos), our past Slack conversations, our past notes, etc. We just load it all into the system; we don't worry about structuring it in any specific way.
We can "chat" with each of our users before getting on a call with them.
We call this a SmartChat™. Here's how it works:
At right is an example where we were about to get on a call with a user named Stephen. We wanted to know what we should ask him on the next call. How could we be as prepared as possible to use our time with him effectively?
You can see in the example that we've constrained the SmartChat to only give us answers back that are specific to Stephen by clicking the `Stephen` tag.
Erika, our Chief Customer Officer, asked Storytell in the SmartChat™ window `What should I ask Stephen in our next call?` The SmartChat™ gave us back seven answers based on what is important to Stephen:
And with Story Tiles™, we're able to click on the reference footnotes to see the actual ground-truth data about what original document that answer is coming from:
Storytell gives you superpowers as a product manager -- you can walk into meetings with full context on what's important to your users. You can reference specific things they said and easily get to the nugget of ground-truth data from a call you were on six months ago, via Story Tiles™.
We'd love to hear your feedback if you're using Storytell for a use case like this!