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Methods and reasons for derivation, from a conversation with the virtual assistant to a human advisor

There are two methods to refer the conversation from the virtual assistant to a human advisor, and you will implement them according to your company's strategy, flow and schedule:

  1. Synchronous derivation: the conversation is transferred to receive immediate response and treatment by a person of your team, according to the referral issue to the different existing care groups.
  2. Asynchronous derivation: if a user needs to be referred to an advisor after hours, the bot will inform him/her in an automatic standard message and will simultaneously ask if he/she wants to wait until an agent is available again ➡ Here you have more info.

 The reasons why a conversation effectively reaches an advisor on your team may be:

  1. By behavior: you configure each case from the derivation rules of the channel ➡ Here you have more info.
    1. Evasive: when the virtual assistant does not find an answer to the query, it returns an evasive. Consecutive evasions may be a reason for referral.
    2. Negative feedback: if the client rates negative feedback consecutively it may mean that he/she requires second level attention and this may be another reason for the session to be transferred.
    3. Equal answers: if the bot gives consecutive equal answers to different interactions, it can be understood that it is not understanding the query correctly, so the session ends up being derived.
  2. By response: are those queries that you define at the beginning that must be attended by a representative, based on some business need. For example, to close a sale, give support to a claim, etc. You activate it by incorporating the referral add-on in the response of the appropriate issue to be referred to an advisor. 
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