@RoyInProgress writing, coding, design - all output. next is judgment. the part where someone decides what to build, who to call, when to walk away from a deal. that one's going to be quieter and nobody's going to tweet about it.
@sans_builds The stat nobody wants to say out loud. Most 'AI adoption' numbers come from companies that sold the tool, not the ones using it. Vendors define usage. Of course adoption looks high in their decks.
if you're running an SDR team and want early access, we have 5 spots left in the next cohort. reply or DM. no pitch deck, just a 20-minute call to see if it fits.
that's the whole point. not a dashboard. not another report. a specific moment, on a specific call, that a manager would never have time to find. that's what we're building toward.
@rajibmondal_ none of these. our starting point was 'which rep actually said that.' turns out diarization is a harder problem than most of the list above.
@Leohuynh57 for us it's the voice models. every call we process makes rep-level fingerprinting sharper. a clone could copy the feature, not the training.
spoke to a VP Sales last week
she said "i know our win rate. i have no idea why it isn't higher"
the answer is always in the calls
rep who closes at 34% does something different at minute 8 than the one closing at 19%
we find that moment #salescoaching