How to choose call analytics for Arabic-speaking teams

Start with the dialects your customers speak

Arabic on a sales or support call is rarely the Modern Standard Arabic of news broadcasts. A customer in Cairo, a buyer in Riyadh and a caller in Dubai use different words for the same thing, pronounce the same letters differently, and move between Arabic and English terms mid-sentence. A system that handles formal Arabic well can still struggle on a noisy phone line in Egyptian or Gulf dialect.

So the first question to a vendor is not whether it supports Arabic, but which Arabic. Ask which dialects are supported, and whether the setting can follow the employee, since one team may serve several markets. Callens supports Egyptian, Saudi and Emirati Arabic and English, set per organization or per employee.

Ask who said what

Call analysis is only as useful as its speaker attribution. If the transcript cannot tell the agent from the customer, every measure built on it is suspect: talk ratio, interruptions, who asked the questions, who made the promise.

Look for tools that attribute speech to named people rather than to speaker 1 and speaker 2, and ask how a wrong attribution gets fixed. In Callens every measure is attributed to a named person; speakers are assigned by who greets like an agent, and when the roles come out wrong, one click corrects them.

Demand evidence for every claim

A summary that says the customer agreed to a budget is only useful if you can hear the customer agree. Language models can write fluent summaries that include things nobody said, and in a language your managers may not all read fluently, that is hard to catch.

Ask every vendor to show where each line of a summary comes from. Callens cites the second of the recording behind every claim, and every model-produced line is checked against a real segment of the transcript before it is stored.

Separate what is measured from what is judged

Some things about a call can be counted: how long each side spoke, how long the silences were, how often someone was interrupted, how fast the agent replied. Others need judgment: did the agent handle the objection, was the customer satisfied. A good tool keeps the two apart, so a counted number is never presented as an opinion.

Callens computes 22 conversation measures from word-level timings, not from a language model. On its scorecards, judged criteria show the quote they rest on and measured criteria show the number.

Check the language of the output

In many regional companies the agents speak Arabic while some managers, owners or head-office teams read English. A summary only in Arabic leaves some readers out, and a summary translated into English alone loses the customer's own words.

Ask what language summaries arrive in. In Callens, summaries arrive in the language of the call with an English rendering beside them.

A short checklist for the shortlist

Before you sign anything, run a trial on your own recordings and confirm each of these:

• Your dialects are supported, and the setting can differ by employee.
• Speakers are named, and a wrong role assignment can be corrected in one click.
• Every summary line and every judgment links to a moment in the recording.
• Measured numbers and judged scores are shown differently.
• Summaries are readable by everyone who needs them, in Arabic and in English.
• Calls can arrive from your phone system or by upload, and access is limited by role.