MULTIDIMENSIONAL CHARACTERIZATION OF CUSTOMER SERVICE DYNAMICS
The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of metrics associated with a performance of one or more customer service representatives. Next, the system calculates a productivity key performance indicator (KPI) from the set of metrics, wherein the productivity KPI includes a number of cases (e.g., solved cases, reopened cases, handled cases, and/or routed cases) per queue hour for the one or more customer service representatives. The system then outputs the productivity KPI for use in managing the performance of the one or more customer service representatives.
1 . A method, comprising:
obtaining a set of metrics associated with a performance of one or more customer service representatives;
calculating, by one or more computer systems, a productivity key performance indicator (KPI) from the set of metrics, wherein the productivity KPI comprises a number of cases per queue hour for the one or more customer service representatives; and
outputting, by the one or more computer systems, the productivity KPI for use in managing the performance of the one or more customer service representatives.
2 . The method of claim 1 , further comprising:
obtaining a customer satisfaction score (CSAT) for the one or more customer service representatives; and
outputting the CSAT as a quality KPI for the one or more customer service representatives.
3 . The method of claim 2 , further comprising:
combining the number of cases per queue hour and the CSAT into an aggregate KPI for the one or more customer service representatives.
4 . The method of claim 3 , further comprising:
displaying a visualization of the aggregate KPI for the one or more customer service representatives.
5 . The method of claim 3 , wherein combining the number of cases per queue hour and the CSAT into the aggregate KPI for the one or more customer service representatives comprises:
aggregating the number of cases per queue hour and the CSAT into a performance score for the one or more customer service representatives.
6 . The method of claim 3 , wherein combining the number of cases per queue hour and the CSAT into the aggregate KPI for the one or more customer service representatives comprises:
combining the number of cases per queue hour and the CSAT into a two-dimensional performance measurement for the one or more customer service representatives.
7 . The method of claim 1 , wherein calculating the number of cases per queue hour for the one or more customer service representatives from the set of metrics comprises:
obtaining a number of cases per unit time and a number of queue hours per the unit time for the one or more customer service representatives from the set of metrics; and
dividing the number of cases per unit time by the number of queue hours per unit time to obtain the number of cases per queue hour for the one or more customer service representatives.
8 . The method of claim 7 , wherein the number of cases per unit time comprises at least one of:
a number of solved cases;
a number of reopened cases;
a number of handled cases; and
a number of routed cases.
9 . The method of claim 1 , further comprising:
obtaining a grouping of the one or more customer service representatives prior to calculating the number of cases per queue hour for the one or more customer service representatives.
10 . The method of claim 9 , wherein the grouping represents at least one of:
a location;
a manager;
a senior manager;
a hire status;
a queue-facing status; and
a role.
11 . The method of claim 1 , further comprising:
outputting a ranking of the number of cases per queue hour for the one or more customer service representatives.
12 . An apparatus, comprising:
one or more processors; and
memory storing instructions that, when executed by the one or more processors, cause the apparatus to:
obtain a set of metrics associated with a performance of one or more customer service representatives;
calculate a productivity key performance indicator (KPI) from the set of metrics, wherein the productivity KPI comprises a number of cases per queue hour for the one or more customer service representatives; and
output the productivity KPI for use in managing the performance of the one or more customer service representatives.
13 . The apparatus of claim 12 , wherein the memory further stores instructions that, when executed by the one or more processors, cause the apparatus to:
obtain a customer satisfaction score (CSAT) for the one or more customer service representatives; and
output the CSAT as a quality KPI for the one or more customer service representatives.
14 . The apparatus of claim 13 , wherein the memory further stores instructions that, when executed by the one or more processors, cause the apparatus to:
combine the number of cases per queue hour and the CSAT into an aggregate KPI for the one or more customer service representatives.
15 . The apparatus of claim 12 , wherein calculating the number of cases per queue hour for the one or more customer service representatives from the set of metrics comprises:
obtaining a number of cases per unit time and a number of queue hours per the unit time for the one or more customer service representatives from the set of metrics; and
dividing the number of cases per unit time by the number of queue hours per unit time to obtain the number of cases per queue hour for the one or more customer service representatives.
16 . The apparatus of claim 15 , wherein the number of cases per unit time comprises at least one of:
a number of solved cases;
a number of reopened cases;
a number of handled cases; and
a number of routed cases.
17 . The apparatus of claim 12 , wherein the memory further stores instructions that, when executed by the one or more processors, cause the apparatus to:
output a ranking of the number of cases per queue hour for the one or more customer service representatives.
18 . A system, comprising:
an analysis module comprising a non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the system to:
obtain a set of metrics associated with a performance of one or more customer service representatives;
calculate a productivity key performance indicator (KPI) from the set of metrics, wherein the productivity KPI comprises a number of cases per queue hour for the one or more customer service representatives; and
a management module comprising a non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the system to output the productivity KPI for use in managing the performance of the one or more customer service representatives.
19 . The system of claim 18 ,
wherein the non-transitory computer-readable medium of the analysis module further comprises instructions that, when executed by the one or more processors, cause the system to obtain a customer satisfaction score (CSAT) for the one or more customer service representatives, and
wherein the non-transitory computer-readable medium of the management module further comprises instructions that, when executed by the one or more processors, cause the system to output the CSAT as an additional KPI for the one or more customer service representatives.
20 . The system of claim 19 , wherein the non-transitory computer-readable medium of the analysis module further comprises instructions that, when executed by the one or more processors, cause the system to: combine the number of cases per queue hour and the CSAT into an aggregate KPI for the one or more customer service representatives.