Training incoming questions

As a Chatbot Trainer, you will spend most of your time in the Training section of your dashboard. Here you will see all incoming questions (with few exceptions, like small talks). 

Incoming questions are a great opportunity to train your chatbot and possibly avoid mistakes in category detection for future similar questions! For that purpose we have built a Training decision tree to help you with your decision-making process:




When managing your dataset follow these steps to create a well-performing chatbot:

  1. Does it look like a relevant and good question?

    1. If No, provide a direct answer or delete it.
      Examples: commands like “internship”, small talks like “what is your name?”, emojis, question marks, etc. should be deleted. Valid questions with personal information should receive a direct answer.

    2. If Yes, move to the next step.

  2. Does the incoming question fit into an existing category?

    1. If Yes, then assign it to the fitting category.

    2. If No, then move to the next step.

  3. Is it likely that a similar question will appear again?

    1. If No, provide a direct answer.

    2. If Yes, create a new category and answer for it. Do not forget to enrich that newly created category with at least 14 other questions.

Learn more about creating good datasets in the next articles: