Challenges
Testing their idea at a lower cost relative to a full project was a key concern
Massive amounts of conversation data needed to be analyzed and rated
Needed to make sure sentiment analysis factored in the specifics of an industry
Solutions
Developed a rapid Proof of Concept, providing exploratory results quickly and reasonably
Built a model that scans a conversation and is able to detect sentiment, emotion, and potential confusion over a process
Discovered that sentiment differs in different workplace environments, varying based on industry, adjusted POC accordingly
Hitting The Target
The proof of concept project wrapped up with Slingshot presenting the results of its sentiment analysis on the conversations to Workrede with a live demo. The analysis confirmed that sentiment could generally be detected, but it also highlighted challenges in interpreting sentiment across different industries as well as specific business process breakdowns. This proof of concept allowed Workrede to test their ideas without building an entire app to do so. Workrede is excited about the possibility of integrating more advanced AI capabilities into its platform. This POC showed how AI could add value in analyzing workplace conversations and identifying areas for improvement.
