Call coaching

AI call coaching software for small sales teams: score every cold call without a $100/user platform

Last updated August 13, 2026

Why the enterprise tools are the wrong shape for cold calling

Gong, Chorus (now part of ZoomInfo), and Jiminny are excellent at what they were built for: 30–60 minute discovery and closing calls, where the interesting questions are talk ratios, competitor mentions, deal risk, and forecast accuracy. Their pricing matches that job — quote-based, commonly landing around $100+ per user per month, annual contracts, sometimes a platform fee on top. For a 6-person SDR team that is plausibly a five-figure yearly line item.

Cold calls are a different animal. They run 30 seconds to 3 minutes, there are hundreds of them a day, and the coaching question is narrow: did the rep run the script? Did they greet the prospect, state the reason for the call, ask the qualifying question, handle the brush-off, and book the next step? Deal analytics can't answer that; per-call script scoring can. Paying closing-call prices to answer a cold-call question is how small teams end up with an expensive tool nobody opens.

How AI script-compliance scoring actually works

Here is the concrete pipeline, using DialSheet's implementation as the example — the mechanics generalize to any tool doing this honestly:

1. An admin defines the call script once: the script body reps see, plus a short list of checkpoints — each a label with optional keywords, e.g. "Greets the prospect: good morning, good afternoon" — and any flagged phrases reps should never say (unapproved discounts, competitor bashing, compliance no-nos).
2. Every recorded call is transcribed automatically (Whisper) and summarized. No one uploads anything; the recording webhook kicks it off. Very short calls — voicemail fragments, instant hangups — are skipped rather than scored.
3. A deterministic keyword pass runs first: if a checkpoint's keyword appears verbatim in the transcript, that checkpoint counts, full stop. This pass is cheap, exact, and can never be second-guessed by the model.
4. Then an LLM judges each checkpoint semantically. A rep can satisfy "greet the prospect" in words the keywords never anticipated — the model can upgrade a keyword miss to a hit, but never downgrade a keyword hit. Every verdict carries a short evidence quote from the transcript.
5. The score is simply the percentage of required checkpoints hit, alongside any flagged phrases the rep actually said and 2–3 short coaching bullets — what to do differently on the next call, generated per call, the same day.
6. Scores roll up to the team leaderboard as a "Script %" column — average compliance per rep over the selected date range — with CSV export for anyone who wants the raw numbers.

One design decision worth underlining: scoring is advisory. It never overrides the rep's own disposition, never edits lead status, never writes notes on the rep's behalf. The AI grades the call; the human still owns the record.

Who this is actually for

DialSheet vs Gong vs Chorus vs listening manually

Enterprise prices are approximate — both Gong and Chorus quote through sales and require annual contracts, so confirm with each vendor. The point is the shape of the cost, not the exact digit.

Full dialer pricing context in how much does a power dialer cost.

Setting it up so the scores mean something

• Define 4–6 checkpoints, max. A 15-checkpoint rubric produces mushy 60-something scores on every call and tells you nothing. Greeting, reason for call, one qualifying question, one objection response, close/next step — that's a rubric a new rep can actually hold in their head.
• Mark only the checkpoints that count as required. The score is the percentage of required checkpoints hit, so a required "nice to have" drags every call down and trains people to ignore the number. Keep optional items in the script body, not the rubric.
• Treat keywords as hints, not requirements. The keyword scan is there to lock in obvious hits cheaply; the semantic judgment exists precisely because good reps improvise. Two or three natural phrasings per checkpoint is plenty — don't try to enumerate every way to say hello.
• Use flagged phrases for the short list of things that must never be said — unapproved discounts, guarantees legal hasn't cleared — not for style preferences.
• Sort out recording consent before you turn recording on. Most US states are one-party consent, but around a dozen — California, Florida, Illinois, Pennsylvania, Washington among them — require all parties to consent, and the UK/EU require notice. The simple policy is a recording disclosure on every call. Recording consent is separate from dialing rules; see the DNC & TCPA compliance guide for those.

Common questions