The calculator helps estimate the number of agents needed for running an outbound campaign.
The calculator uses the following input parameters:
- Type of dialing method. The current version provides two types of dialing methods: progressive and predictive.
- Average call handling time. (talk+wrapping up). Normally, average handling time for outbound campaigns is substantially shorter than for inbound campaigns due to the large numbers of short calls.
- Calling list size.
- Campaign duration. The time interval within which the campaign should be completed, in minutes.
- Hit ratio. The percentage of outbound calls that will reach live customers.
- Average customer patience time before they hang up. Typically, for outbound campaigns, this time, is quite short.
- Max abandonment rate. A percentage of calls that will be abandoned by impatient customers. This value is a subject of regulations and must not exceed a mandated value (e.g. 3% in The United States);
- Max average waiting time. This optional value imposes a restriction on average waiting time. The waiting time is a time a customer spends in a queue waiting for an agent.
The calculator consumes these parameters and comes up with a minimum number of agents needed that will satisfy campaign service objectives. The calculation is performed as a series of simulations to find the optimum values.
As an output the calculator returns the following values:
- The minimum number of agents needed for running the campaign.
- The expected average abandonment rate the campaign will have;
- The expected average waiting time;
- The expected agent occupancy;
When a staffing demand is calculated, the user can adjust a number of agents to obtain more convenient service indicators.
If the user wants to change campaign values he/she should use a button “Change Input Parameters”.
Example 1. Let us take default values:
- Dialing type is ‘Predictive’;
- Average handling time is equal to 30 seconds;
- Calling list comprises 10,000 numbers;
- The campaign should last 120 minutes;
- Average patience time is equal to 3 seconds, and
- Max abandonment rate id equal to 3% that corresponds to industry standard.
Let press the “Start Calculation” button and after several seconds of calculations we obtain the following values and service indicators:
Min number of agents is set to 15. Average abandonment rate is 1.8%. Average waiting time is shown to be 0.13 second. Agent occupancy will be 81.6%.
Example 2. Let us take the same default values but change type of dialing to “Progressive”. In this case, we obtain a number of agents to be equal to 20. That is a progressive type is less effective that predictive one.
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We are happy to answer questions and discuss specific workflows and requirements on a live presentation online or set up a pilot project to trial the solution without paying any license fees