Gong
Gong is built around revenue teams and sales conversations. Teams that come to us are usually solving a different problem: scoring every service and retention call i…
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Choosing a conversation
intelligence platform.
We will not pretend to be neutral — we build one of these. So instead of a feature matrix we wrote about our own product, here is what our customers were solving for, and the ten questions we think you should ask every vendor, us included.
By platform
Common comparisons.
Written around the requirement rather than the competitor. We do not publish feature claims about other vendors' products, because those go stale and we cannot verify them.
Observe.AI
Overtone covers the same core job — score every call, coach agents, connect quality to outcomes — with one difference that decides most of our deals: the entire syst…
CallMiner
Speech analytics has historically meant category and phrase detection. Overtone scores meaning instead: whether the objection was actually handled, whether empathy l…
Verint
If you already run Verint for recording and workforce management, you probably do not need to replace it. Overtone reads from your Verint recorder and writes scores …
Level AI
Same category, different constraint. Overtone was architected so the transcripts, scores and search index can persist entirely inside your own SQL Server, with audio…
Evaluation checklist
Ten questions to ask
Ten questions to ask
every vendor, including us.
Take this into any demo in the category. If a vendor cannot answer crisply, that itself is the answer.
01
Coverage
What percentage of conversations actually get scored — all of them, or a sample? If it is a sample, how is it selected, and can you defend that selection to an examiner?
02
Rubric ownership
Can you define your own dimensions, weights, thresholds and evidence requirements? Or do you adopt the vendor's scorecard? Can you run different rubrics per line of business?
03
Version control
If you change the rubric in June, are March's scores still reproducible? Under audit this matters more than most buyers expect.
04
Evidence
Does every score cite the specific utterance and timestamp it came from? Agents dispute scores they cannot trace, and disputes are what kill adoption.
05
Deployment
On-premises, your own cloud tenant, or vendor SaaS only? Ask specifically where the system of record lives, not just where processing happens.
06
Data at rest
Is raw audio ever written to disk outside your boundary? Is PII redacted before persistence, or only masked at display time?
07
Model training
Is your data used to train shared models? Get the answer contractually, not verbally.
08
Write-back
Do scores flow back into the WFM, CRM and BI tools your teams already use, or do you gain another dashboard nobody opens?
09
Outcome linkage
Can quality scores be joined to CRM outcomes so you can show what the programme is worth in revenue terms?
10
Exit
How do you get your transcripts and scores out if you leave, and in what format?
Test us
Run the same audio
Run the same audio
through everyone.
Send each vendor the same week of calls and the same scorecard, then compare the output. It is the only evaluation that survives contact with reality.