Salted CX provides set of built-in metrics that are independent on data source and you can use them from day one to build insights and dashboards. These metrics build on top of Untitled.
This article focuses on some common KPIs contact centers use to measure performance and how Salted CX understands them. For details on how individual metrics are calculated please check Metrics Reference.
Handling Time
Salted CX calculates handling time using a simple formula:
HandlingTime = PreparationTime+EngagementTime+WrapUpTimeHandling Time is focused on reporting time agents are reserved to engage in a given conversation.
Preparation Time is the time agent spends preparing for the engagement without actually engaging with the customer. For example during some outbound campaigns the agent may need some time to learn basic information about the customer to have shorter engagement time and better rapport building with the customer.
Engagement Time is the time the agent is in conversation and engaging with the customer. This is from the moment when agent joins the conversation until the moment the agent leaves the conversation with the customer and transitions to wrap up work if any.
Wrap Up Time is the time agent spends after they leave the conversation with the customer to perform tasks such as filling information into a CRM.
There can be multiple engagements in a single conversation. These engagements can overlap. This means that sum of handling time (and engagement time) for a conversation can be more that the conversation lasted. For example if two agents would be engaged with the customer from start to end the sum of engagement time for that conversation would be twice the actual duration.
Service Level
Service level represents percentage of engagements that were handled within required
Built-in metrics for service level rely on Engagement ⏵ Service Level
attribute. This attribute has several possible values as shown in the table below.
Service Level | Description |
---|---|
Within SLA | The engagement was handled according to service level requirements. |
Out of SLA | The engagement was not handled within the service level requirements. |
Ignore | The engagement should be excluded from any calculation of SLA-based metrics. |
The general formula for calculating the service level is the following:
SLA = \frac{EngagementsWithinSLA}{TotalEngagements-IgnoredEngagements}There are several other considerations for the built in SLA metrics:
- Only engagements that are completed are included in SLA calculation
- Engagements that have any other value from the above table are included in the number of total engagements
- There are separate metrics related to engagements with
Type
equal toAgent
andQueue
because different connected platforms provide different SLA calculations
- The categorization to the categories above depends on settings in the connected platform.
Transactions
Transactions represent a operations that were made during an engagements. They may or may not have a financial impact.
Each transaction has the following facts:
Fact | Description |
---|---|
Cost | All the costs associated with this transitions. |
Price | Base price for this transaction before any discounts for the entire volume. |
Revenue | Total actual revenue generated from this transaction. This includes any discounts and applies to the entire volume of the transaction. |
Volume | Number of items or volume of products or services associated with this transaction. |
There are built-in metrics calculated facts available in the Transaction data set based on formulas below:
Profit = Revenue - CostMargin = \frac{Profit}{Revenue}Discount = Price - RevenueDiscount\ \% = \frac{Discount}{Price} = \frac{Price - Revenue}{Price}In Progress Metrics
There are multiple metrics showing engagements in progress. This means that these engagements were in progress during the last data load. In the meantime they may have been resolved. Be careful when drawing conclusions from those metrics. They are intended to show a long running engagements that are still in your backlog and are not suitable for real time monitoring.