Ran a number with a sales leader running a 40-person team last week. He'd never actually calculated it before.
Average ramp time for a new SDR to hit quota-level performance: 11 weeks. Average tenure before attrition: 7 months. Which means for a meaningful chunk of the year, a big slice of his floor is either still learning or already halfway out the door.
He wasn't losing sleep over his script. His script was fine. Same objection responses every competitor in his space uses, printed on a laminated sheet, taped to every desk.
What he was actually losing sleep over: the gap between a rep reading that sheet and a rep actually using it when a prospect gets combative at 4pm on a Friday. Reading a line and delivering it under real pressure are two completely different skills, and almost nobody trains for the second one.
So here's what most teams do instead. New hire finishes onboarding. Sits through the deck. Shadows a senior rep for a week. Gets thrown on the phones. And the team finds out, live, on real prospects, whether the training actually took.
That's an expensive way to find out.
The teams that don't bleed reps in month two aren't the ones with better scripts. They're the ones where a rep has already failed the conversation fifty times in a room where failing costs nothing, before they ever failed it in front of someone with a budget.
If your floor's ramp time and turnover numbers would surprise you the way they surprised him, they're probably worth actually calculating. And if the gap is practice, not knowledge, that's the exact problem Duodial was built to close happy to show you how teams are using it to cut ramp time before it shows up as a hiring cost
This is so true. It does us no good to add a new rep to work the same 9 to 5, if that window is covered and we actually have extra capacity. What would move the needle is hiring for the overtime hours, if that's when you see action, but can't respond. That means someone working on their own, without the team present...and that's exactly when an AI solution might be the right answer.