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How Language Condition Works

  1. Detection: The user’s language can be detected in various ways, such as through their browser settings, the language setting of their social media profile (for platforms integrated with social media like Facebook Messenger), or direct user input during the conversation.
  2. Setting Conditions: Once the language is detected, you can set conditions to branch your chat flow based on this information. These conditions use rules like “is” or “is not” to compare the detected language against specified values.

Rules of Language Condition

  • “Is” Rule: This rule is used to direct the conversation flow when the user’s language matches a specific language. For example, if you set a condition where the language “is” English, the chat flow will proceed down the path designed for English-speaking users.
  • “Is Not” Rule: Conversely, this rule applies when the user’s language does not match the specified language. If you set a condition where the language “is not” English, the chat flow will take a different path, possibly leading to a message in another language or a prompt asking the user to select their preferred language.

Implementation Example

Imagine you have a chatbot that supports English and Spanish. You can set up a language condition at the beginning of your chat flow to check if the user’s language “is” English. If true, the bot proceeds with the English chat flow. If not, another condition checks if the language “is” Spanish, directing the user accordingly. If the language is neither English nor Spanish, you might direct the user to a message asking them to choose their preferred language from the options provided.

Best Practices

  • Fallback Option: Always include a fallback option for users whose language does not match any of the conditions you have set. This ensures that all users receive a response, even if it’s in a default or widely understood language.
  • Language Selection: Consider providing users with the option to select their preferred language at the beginning of the interaction, especially in multicultural or multilingual regions. This can improve user satisfaction by giving them control over their experience.
  • Regular Updates: Keep your language conditions and related content updated, especially if you expand the range of languages your chatbot supports or make changes to your chat flows.