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Queues

Are responsible for hosting new requests (tasks) generated by a customer.

In each precision queue, there are some agents to answer customer requests being queued in the precision queue. Agents become members of precision queues automatically based on their Routing Attributes which are compared to one or more Criteria known as Steps.

Example

For instance, a precision queue requires an agent who lives in Boston, speaks fluent Spanish, and is proficient in troubleshooting a specific piece of equipment. In this case, an agent with the attributes, Boston = True, Spanish = True, and Repair = 10 automatically becomes a part of the precision queue.

Therefore, a Spanish caller in Boston who needs help with the equipment is routed to that particular agent.

Steps

A precision queue consists of Steps which are criteria, to associate agents to the queue. A queue can have at most 10 of these steps.
A step consists of a combination of one or multiple expressions. When a request is landed in a queue, the steps are executed to evaluate the routing logic and pick the right agent. You can add one or more steps for one queue. Each step has a step timeout in seconds which determines the time that the system waits before jumping on to the next step in the queue. 

After the evaluation of the first step, if the system finds no agent matching the routing logic defined in the step, it jumps to evaluate the next step and keeps doing so until it finds an available agent. Steps are executed in the order they are created. 

Each step has a bucket or list of agents associated with it which are used to route customer requests in the queue. At the implementation level, it is the Step in the queue that has agents associated with it.

Example

We have a Queue Q1 with 2 Steps S1 and S2 which are configured as follows

  • S1 has associated agents → [A1, A2, A3]

  • S2 has associated agents → [A4, A5]

The overall queue Q1 has agents A1 to A5 available to it to route requests. When a request comes, the routing engine first tries to assign it to the agents associated with the first step; if no agent is available in the first step, it tries to assign it to the agents associated with the second step and so on as explained above.

Furthermore a precision queue is a multi level queue

Term/criteria

A term/criteria compares an attribute against a value. For example, you can create the following term: Spanish == 10. 

Each precision queue can have multiple attributes, and these attributes can be used in multiple terms. For example, to select an agent with an English proficiency value between 5 and 10, the admin may create one term for English > 5 and another for English<10.

Expression

An expression is a combination of one or more terms. For instance,  an expression (Boston == true) AND (Spanish == true) AND (Repair == 10) implies that agents living in BOSTON, fluent in Spanish and excellent in repairing skills are the best matched agents for routing customer requests in this queue.  

The expressions are by default evaluated from left to right. For instance, the following expression is evaluated as the following: 

(Boston == true) AND (Spanish == true) AND (Repair == 10)
 
→ true AND true AND false
 
→ true AND false
 
→ false 



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