A framework for scoring objection handling in sales calls on a 1-10 or 1-100 scale, plus identifying peak and weak moments. The catch: transcript analysis misses screen shares and visual cues that often matter most.
what it should extract, what it should analyze, including how good was the objection handling, like scoring the call on a scale from 1 to 10 or 1 to 100, extracting like the parts where the closer performed worst, performed best. And the cool thing with that is we could go even deeper, right? And that is a quick note on the side. In terms of analyzing a transcript, obviously the AI is always missing crucial part, which is the actual screen share. Like, and this is not— for meetings it's not so important, but in a meeting, when once a screen is shared, then it might become important because there might be parts where a person talks about something on their screen.
