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How Do We Support Customers Who Write in Languages Nobody on Our Team Speaks?

Customers writing in other languages wait while staff copy text into translation sites. SpiderHunts adds translation inside your helpdesk, with checks.

Updated 3 min readBy SpiderHunts Technologies

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Quick answer — TL;DR

Foreign-language emails get slow, inconsistent handling because translation happens outside your systems, one message at a time. We add translation inside your helpdesk so agents read and reply in English while customers read and write in their own language, with a glossary for your product terms and a human check for sensitive messages.

Copy, paste, translate, repeat

An email arrives in Polish, or Portuguese, or Arabic. The agent who picks it up copies the text into a free translation site, works out what the customer wants, writes a reply in English, translates it back, and pastes it into the reply. They cannot tell whether the translation reads well or has mangled a product name.

Some agents avoid these tickets entirely, so they sit at the bottom of the queue. The one colleague who speaks Spanish ends up handling every Spanish ticket on top of their own work. When they are off, those customers wait.

Why language slows everything down

Translation itself is no longer the hard part. Machine translation from providers such as DeepL, Google and large language models is good for most everyday support language.

The difficulty is that translation sits outside your workflow. Every foreign-language ticket needs extra manual steps, the translated text is not saved with the ticket, and there is no consistency: product names, plan names and policy terms get translated differently each time, sometimes into something misleading.

Routing makes it worse. Foreign-language tickets are often not recognised as such until someone opens them, so they wait in the general queue rather than going to someone who can handle them.

What the language gap costs

  • Slower answers for customers writing in other languages.
  • Agent time lost to copying between tools.
  • Mistranslated product names or policy terms that confuse or mislead.
  • Over-reliance on one or two multilingual staff.
  • Customers who give up and buy from a business that answers in their language.
  • Customer data pasted into free translation websites outside your control.

The last point often surprises people. Pasting a customer's email into a free public tool may not fit your data protection obligations.

How SpiderHunts builds translation into support

  1. Detect the language of each incoming email, chat or message automatically in your helpdesk, and tag it.
  2. Translate the message into English inside the ticket, keeping the original alongside, using a translation service or model under terms that suit your data obligations.
  3. Let agents reply in English. The reply is translated into the customer's language before sending, with the English version saved on the ticket.
  4. Apply a glossary of your product names, plan names and policy terms, so they are translated the same way every time, or deliberately left untranslated.
  5. Route by language where it helps: if you have staff who speak a language, send those tickets to them first; otherwise use translation.
  6. Flag sensitive messages, such as complaints, legal or medical wording, or refunds above a threshold, for a human check of the translation before sending.
  7. Set the tone of translated replies to match how you write in English, formal or friendly, so customers in every language hear the same business.
  8. Translate your approved help content and chatbot answers into your main customer languages, reviewed once, so common questions are answered in the customer's language without an agent at all.
Message typeHandling
Routine questionAutomatic translation both ways
Uses product or policy termsTranslation with your glossary
Complaint or legal wordingTranslation checked by a person
Language a colleague speaksRouted to them first

Every customer, any agent

Any agent can handle a ticket in any common language without leaving the helpdesk. Customers get answers in their own language, with your product terms used consistently. Multilingual staff are used for the conversations where their skill matters most, rather than for every ticket in their language.

Record-keeping improves as a side effect. Each ticket holds the original message, the English translation and both versions of the reply, so anyone reviewing a complaint later can see exactly what was said in each language.

The glossary grows as you use it. When an agent spots a term translated badly, it goes into the glossary once, and every future message benefits.

And you can see how much support you get in each language, which helps when deciding whether to translate your website, hire, or open a new market.

Is language holding up your support?

  • Agents copy messages into translation websites to understand them.
  • Tickets in other languages wait longer than English ones.
  • One or two multilingual staff carry all the foreign-language work.
  • Product names get translated inconsistently.
  • You are not sure where customer messages go when they are translated.

FAQ

Frequently asked questions

The questions readers ask us after this guide.

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Is machine translation good enough for customer support?

For most routine support language, yes. For complaints, legal wording or anything sensitive, we add a human check before sending.

Which helpdesks does this work with?

Most major helpdesks with an API, such as Zendesk, Freshdesk, Intercom and HubSpot. Some have translation add-ons we can configure instead of building.

What about data protection?

We choose translation providers and settings to suit your obligations, and avoid sending customer data to consumer tools.

Can the chatbot answer in other languages too?

Yes. We translate and review your approved answers so the bot responds in the customer's language from checked content.

Keep reading

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