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Sales CoachingAnalytics

You Know Which Reps Are Underperforming. The Problem Is You Don't Know Why.

August 24, 2026 · 4 min read · AVA AI Team

The AVA AI Analytics & Reports dashboard with the Audio Analytics tab open — talk ratio, filler words, energy, confidence, voice dynamics and sentiment analysis for a rep's calls

Every sales manager in the alternative financing space can tell you which names sit at the bottom of the leaderboard. What most of them can't tell you is why those reps are there, and more importantly, exactly what needs to change for them to move up.

That diagnostic gap is one of the most expensive problems in ISO sales, and it's almost never talked about.

Coaching by gut instinct

The typical response to an underperforming rep is call reviews and coaching sessions. A manager pulls a few recordings, listens through, and gives feedback. The feedback is usually genuine and well-intentioned. It's also usually vague. “Be more confident.” “Don't rush the close.” “You're losing them around the objection.” These observations might be accurate, but they don't give the rep anything specific enough to act on. Abstract feedback produces abstract improvement, which is to say, very little.

The rep walks out of the coaching session with a general directive and no clear behavior to change. They try to apply it on the next call. It doesn't land, because they're working from impression rather than data. The manager runs the same session again next month, and the conversation looks almost identical.

The core issue is that without precise measurement, coaching becomes pattern-matching against gut instinct. A manager who has heard thousands of calls develops good instincts over time. But instincts don't transfer, they don't scale across a large team, and they produce inconsistent results depending on how well any given manager can articulate what they're hearing.

Measure where the call actually breaks down

What's missing is a diagnostic layer. Not just whether a rep is performing, but specifically where they're breaking down. Is it talk ratio? Are they dominating calls when they should be asking questions? Is it filler word frequency undermining their authority on the phone? Are they qualifying poorly and spending time on prospects who were never going to convert? Or is it a pure objection-handling gap costing them deals in the final third of every call?

These are measurable things. And when they're measured, coaching stops being guesswork.

AVA AI's Audio Analytics tab showing talk ratio, filler word count, energy, confidence, flow and closing scores, with voice dynamics and sentiment analysis charts below
Audio analytics on every call — talk ratio, filler words, pace, energy, and sentiment flow through the conversation. (Sample data.)

AVA scores every training call across five categories: Communication, Objection Handling, Qualification, Rapport, and Improvement Trajectory. On top of that, audio analytics track talk ratio, filler word count, speech pace, and sentiment throughout each call. Managers get a drill-down dashboard for every rep on the team.

A rep's Personal Metrics view — per-category scores for Communication, Objection Handling, Qualification and Rapport, skills-over-time trends, and improvement areas quoting specific moments from the last call
The per-rep drill-down — category scores, trends over time, and improvement areas that quote the exact moments from the call. (Sample data.)

What data-first coaching looks like

The shift this creates in coaching conversations is significant. Instead of telling a rep to “be more confident,” a manager can pull up the data and show them: your talk ratio is running 68 percent in your favor, you're averaging 19 filler words per call, and your Qualification score is sitting at 4 out of 10. Those are specific, reproducible behaviors. The rep now knows exactly what to work on and can track whether their practice sessions are moving the numbers.

It also changes how managers allocate their time. Rather than spreading coaching evenly across the team, managers can see at a glance which reps have specific, targeted gaps and who would benefit most from a focused session. The result is that coaching conversations get shorter, more direct, and more productive.

The Team Leaderboard showing top performers and full team rankings — each rep's average score, sessions, top skill, focus area and performance trend
The team view names each rep's focus area — so coaching time goes where it moves the needle. (Sample data.)

Performance gaps in sales teams rarely close on their own. They close when the right feedback reaches the right person at the right level of specificity. Gut-feel coaching has a ceiling. Data-driven coaching doesn't.

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