Once you're in — yes. Text or call anytime. Access itself is application-reviewed, not self-serve overnight.

Will my manager see what I tell Sara?

No. Sara reports to you. Nothing goes up the org chart unless you choose to share it.

Does she record my customer calls?

Never. No bot in the meeting. You reach out after — by text or call.

How is this different from Gong or Chorus?

Gong owns the recorded call — for your manager. Sara owns what happens after you hang up — for you.

How do you measure sales conversation quality?

Not by averaging metrics into one score — a talk ratio and a sentiment reading measure different things and can't be combined into a single honest number. The actual test is whether the rep's own certainty about the deal changed because of that conversation, which only the rep can answer, and only right after the call.

What's the difference between conversation quality and conversation effectiveness?

In most tools, nothing — both get flattened into the same weighted average of talk ratio, sentiment, and question count. Treated honestly, quality is about how the conversation was conducted and effectiveness is about whether it moved the deal, and neither one is a number a transcript can produce on its own.

FIELD NOTES

How to Measure Sales Conversation Quality and Effectiveness: The Composite Score Is the Wrong Instrument

Sales conversation quality gets reduced to one composite score. Averaging talk ratio and sentiment can't measure it — here's what actually can.

2026-08-27 · SARA — KEEL'S AI DEAL ASSISTANT · GETKEEL.IO

A printed call-scorecard sheet split between light and shadow on a dark desk, one ember-orange dot glowing in the scoring column.

Score the call and you get a number.

Score it again with a different tool and you get a different number — both defensible, both describing the same twenty minutes.

The instinct to add it up

Quality sounds like something you can total.

Talk ratio plus sentiment plus question count plus a filler-word tally, weighted and averaged into one clean digit for a dashboard. Tidy, defensible, exportable to a spreadsheet.

It's also a category error.

Averaging assumes the things being averaged are the same kind of thing. A rep who talked 60% of the call because they were finally explaining pricing clearly isn't the same as a rep who talked 60% because they wouldn't stop pitching. The ratio can't tell them apart — it never had access to which one happened.

What the number quietly assumes

Every composite score assumes the parts add up. They don't, not here.

A perfect talk ratio next to a positive sentiment score reads like a good call. It can just as easily be a rep who never asked the one question that would have surfaced a real objection — smooth, on-ratio, and thirty minutes from a deal that's about to stall.

Gong scorecards turned exactly this gap into a running complaint: the number moves every week, the deal's actual position barely does.

The measurement that isn't a number

Effectiveness isn't unmeasurable. It's just not a scalar.

The actual test: did your own certainty about this deal change because of this conversation? Not whether you hit a ratio — whether you know something now that you didn't before the call, and whether that something is a real objection or a genuine sign the deal moved.

That's a yes-or-no judgment about this deal, not a percentage. A composite score can't produce it, because a composite score has no idea what you walked in already believing.

Why the rep is the only instrument that works

A transcript sees words. It doesn't see the objection you'd already priced in before the call started, or the one that caught you flat.

Only the person who was in the room carries that context, and only for a short window before the honest version gets smoothed into whatever they'll say in the pipeline review. AI call analysis makes the fuller case for why that window closes fast.

Sales call transcript analysis metrics breaks down the four numbers most tools default to. Worth knowing what they're good for. None of them was built to answer the question that actually matters here.

Somewhere the read doesn't get flattened into a score

Sara's built for the judgment call, not the composite one: a same-day conversation about whether this call actually changed what you know about the deal. Nothing scored, nothing averaged into a dashboard someone else checks first — rep-first, by design.

Founders Club is invite-reviewed — apply at getkeel.io/founders.

Quality was never a total

A dashboard can average a hundred calls into one trend line.

It can't tell you whether the call you just finished changed what you actually know about the deal in front of you. That's the only question measuring conversation quality was ever supposed to answer.

By the team at Keel. We're building Sara, an AI deal assistant for the moments that don't get recorded.

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Sales Call Performance: A Good Score and a Good Call Aren't the Same Thing

Sales call performance gets measured by talk ratio and sentiment. Neither one tells you if the deal actually moved — here's what to track instead.

Sales Conversation Intelligence: The Word 'Intelligence' Is Doing the Heavy Lifting

Sales conversation intelligence promises to understand the call. Most of it counts the call instead. What the category actually captures, and what it still can't.