This is the second in a series of posts that we’re using to show (broadly, directionally) some of the potential use cases for generative AI in the Stack Overflow and Stack Exchange environment. The first post was on Yaakov’s title selector demo page.
Today, I bring you another cool demonstration tool: this one is immediately useful for customers of ours, or for anyone using the Stack Overflow for Teams product.
Questions that we frequently get asked when people are evaluating Stack Overflow for Teams are:
- How big of a problem are repeat questions? In other words, do I really have a problem that Teams can fix?
- I know I have a problem, but how can I identify which questions should be in Teams to start?
Enter Decipher (final name is still TBD). This tool uses AI to read Slack transcripts and pull out the questions contained within them, then group together the ones that are duplicates or similar.
The use cases here seem to me to be self-apparent - customers can use that list to pre-seed questions and answers, or to make the case internally that a lot of time is wasted on answering the same set of questions in Slack to instead drive aggregation of internal knowledge on Teams. It also calls out when content hadn’t been socialized broadly enough, or distribution wasn’t consistent throughout the company to enable teams to quickly mitigate these knowledge distribution challenges.
I’m curious about other use cases that you can imagine for this tool, or alternative ways we could help the community solve similar problems? Leave your response as an answer below, and I’ll be checking in on them regularly.
In the meantime, we’re thinking about the best way to share the code so you can run this locally - our intention here is to co-create a tool with immediate usefulness, so get those pull requests ready.