Before reading this part, consider familiarising yourself with the basic terminology.

Dataset management takes place on the FAQ page of the dashboard, which page has two tabs (Training and Categories) and a button (Try it now).

Training tab

On this tab you can:

The question list view (depicted above) shows all incoming questions sent by candidates.

When a question is asked, the system tries to pair it with a category in the FAQ dataset. If this categorisation is successful, an automated category- (and context-) dependent response is given and the category field in the question list view filled out. In case of the an unsuccessful question categorisation the chatbot is not able to respond to the candidate and requires your assistance (and the category field is left empty).

In case of questions that got matched to a category (those where the category field is not empty) you have the following options:

In case the question was associated with a context dependent category and there’s no answer in the category for the specific context (as there were no incoming question in the past in that context in the category) the category’s general answer won’t be sent to the candidate (there’s no fall back). In such a case the candidate will receive an answer if:

In case a question wasn’t matched to any of the categories, click on the particular question in the list and select one of these options:

Questions that got approved to a category will be removed from the default “unapproved” list of questions and moved to the “approved” list. You can switch the display of “approved” or “unapproved” questions using the main filter in the upper left corner, next to the search box.

Categories tab

The categories tab is to manage categories, add new questions to them, and move questions between categories. This tab has three or four sections:

Category list

On the top you can filter for context dependent or context independent categories.

Use the search field to quickly find categories: the entered search criteria will be matched against category names, category answers and questions.

Press the “new category” button to create a new category.

Category core data

You can set the key information on the selected category:

Also, you can delete a category if it’s not needed anymore. Note: questions belonging to the deleted category will be removed from the dataset!

Context answers

This section is shown only if the selected category is context dependent.

The section is expandable, if collapsed only those contexts are shown that already have an answer. If expanded, all the contexts are shown.

If the category contains a question that was asked in a specific context there must be an associated answer. Because of this rule, not all the context answers can be deleted, only those that belong to a context that has no question in the category.

Please remember: if a specific context doesn’t have an answer (as there were no incoming question in the past in that context in the category) the category’s general answer won’t be sent to the candidate (there’s no fall back).

Question list

Lists the questions belonging to the category. If you need more questions, please use the “Add question(s)” button to add multiple questions at once.

Alternatively, you can delete one or more questions or move them to a different category. If you move questions to a context dependent category, you might be asked to enter context specific answers.

Try it now button

You can quickly test your dataset by imitating candidate questions to see if they are correctly categorised. The questions asked here will appear on the training view for approval. Please note: if you need to add questions to a category, please use the “Add question(s)” functionality on the question list of the category (in the Categories tab) instead of adding the questions one by one using the “Try it now” button.