Documentation

AI call evaluation rules

Within Thulium, you can automate the process of evaluating the quality of conversations thanks to the ability to define rules for applying pre-prepared evaluation scenarios. Once you assign a scenario to a selected rule, the system will automatically apply the correct set of criteria as soon as the context of the call is recognized, i.e. belonging to a specific queue, campaign or agent. This solution provides greater precision, consistency and automation of the quality control process - with the flexibility to adapt to the structure of your Customer Service Office.

In order to use this functionality, please go to AdministrationAI AssistantAI call evaluation rules.

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How do evaluation rules work?

Rules are defined based on the condition “whento (Conditions → Actions)”, i.e. if the phone call meets the given condition then the defined action will be executed.

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To add a new rule, click file, and then select the appropriate condition:

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  • The infoline queue is - condition related to a specific infoline queue,
  • The campaign is - condition related to a specific outgoing campaign,
  • Agent is - condition related to a given consultant.

Important...⚠️

Within a single rule, you can select either a hotline queue(s) or a campaign, in addition, you can add filtering by agent for either of these conditions.

Then we set the action to be performed for the defined condition:

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  • Select a scenario - selecting the scenario under which the interview will be verified.

In addition, it is recommended to give an individual name to the rule so that it can be easily searched. The changes made should be approved by clicking file.

Pre-created rating rules can be easily deactivated/activated by clicking file.

Remember that the order of the rules matters - if the completed phone call matches an earlier rule then the next rules will not apply. You can change the order by holding the button file.


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Łukasz

My name is Łukasz and I take care of Thulium's knowledge base. I'd love to keep it accurate and understandable. If you have any remarks or suggestions for improvement - let me read them.

Drop me a line at: dokumentacja@thulium.pl.