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Most contact centers use performance metrics to measure success in hourly, daily, weekly, monthly, and annual time frames. It is essential to implement the right objective and subjective performance metrics to determine what you do right and where you go wrong.
It is a challenge for every contact center leader to find the right mix of objective and subjective metrics that:
The best time to revisit contact center metrics and measurements is during new contact center technology implementation. Keep in mind that calculations used to measure metrics, especially your new technology, may use different terms, calculations, and report layouts. You may have access to new performance statistics and have to figure out if they are relevant in your environment.
Selecting a limited number of key performance objectives is part of a comprehensive measurement strategy. If users must pay attention to every available statistic, they will not see the connection between contact center metrics and daily activities — or know where to focus their efforts. That’s why it is vital that the leadership team:
Refer to the standard contact center metrics below for examples of commonly used KPIs.
Discuss the following questions with your team:
Take the following actions before moving forward in the planning phase:
| Preparation | Assigned to | Complete date |
|---|---|---|
| Gather current reports and determine if they are still relevant, valid, and useful. Document required metrics/measurements/statistics with their current definitions, calculations, and targets. | ||
| Identify potential gaps in current and future reporting and define future needs and requirements. Determine if there are elements of the current reporting environment to replicate in the new system. Determine if there are requirements that weren’t possible to meet in the past that is possible with the new system. | ||
| Identify current sources of reporting metrics, and review level of effort in creating and delivering reports. Focus on opportunities to automate. | ||
| Consider cross-functional reporting requirements for departments outside the contact center. For example, the marketing team may value a report that shows call volume by marketing source. Or the product management team may find meaning in the contact center’s product complaints by customer, product, and complaint type. | ||
| Ensure that all employees fully understand how the organization manages performance and how they and managers access performance metrics. Verify the accuracy of calculations and data sources before you hold employees accountable for performance objectives. |
| Column 1 | Column 2 |
|---|---|
Abandon % | The percentage of offered interactions in which the customer disconnected before connecting with an agent. The abandon rate can identify queues that require extra staff to handle interactions in a timely manner. Calculated by: (Abandoned Count / Offered Count) * 100 |
Abandon | The number of times an end user abandoned an interaction in a queue. For example, the customer hangs up before an agent answers, or the system disconnects the interaction. |
Average abandon | The average amount of time before a customer disconnects in an ACD queue before connecting with an agent. For example, the customer hangs up before an agent answers, or the system disconnects the interaction. |
Total abandon | The total amount of time interactions are in queue waiting for an agent to answer them before customers abandoned the interactions. |
Active agents | The number of active agents. In some views, this number is shown next to the total number of queue members. |
After-call work (ACW) | The number of times after-call work (ACW) was completed. After-call work is the work that an agent performs immediately following an interaction. Work may involve keying activity codes, updating customer databases, filling out forms, or initiating outbound contact. As a metric, it indicates the total time an agent takes to finish working on a call. If an agent must complete work before the agent can handle the next contact, then ACW is factored into the average handle time. |
Answered | A measurement of the number of assigned ACD interactions answered by an agent in a given period. Answered increments when the agent is the first to connect to the interaction. |
Answer % | The percentage of offered interactions that an agent answered. Calculated by: (Answered / Offered) * 100 |
Meal | The time spent in the Meal status for the specified period. |
Average wait | The average amount of time an interaction is in a queue before an agent answers it, before the interaction moves out of the queue, or before the customer abandons the interaction. Calculated by: Total Wait Time / Interactions |
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