Techniques for benchmarking pairing strategies in a contact center system
Techniques for benchmarking pairing strategies in a contact center system are disclosed. In one particular embodiment, the techniques may be realized as a method for benchmarking pairing strategies in a contact center system including determining results for a first plurality of contact-agent interactions, determining results for a second plurality of contact-agent interactions, and determining combined results across the first and second pluralities of contact-agent interactions corrected for a Yule-Simpson effect.
1. A computer processor-implemented method for benchmarking pairing strategies in a contact center system comprising:
determining, by at least one computer processor communicatively coupled to and configured to operate in the contact center system, a first set of contact-agent interaction results for a first cross-section of interactions paired using a first pairing strategy;
determining, by the at least one computer processor, a second set of contact-agent interaction results for the first cross-section of interactions paired using a second pairing strategy;
determining, by the at least one computer processor, a third set of contact-agent interaction results for a second cross-section of interactions paired using the first pairing strategy;
determining, by the at least one computer processor, a fourth set of contact-agent interaction results for the second cross-section of interactions paired using the second pairing strategy;
normalizing, by the at least one computer processor, the first set with the second set and the third set with the fourth set;
determining, by the at least one computer processor, a first comparison comprising a first combination of the first and third normalized sets with a second combination of the second and fourth normalized sets; and
outputting, by the at least one computer processor, the first comparison, wherein the first comparison demonstrates that the first pairing strategy improves performance of the contact center system over the second pairing strategy.
2. The method of claim 1 , wherein the first pairing strategy is a behavioral pairing strategy.
3. The method of claim 1 , wherein the normalizing is a correction for a Yule-Simpson effect.
4. The method of claim 1 , wherein the first cross-section of interactions and the second cross-section of interactions are based on at least one of:
a plurality of time periods,
a plurality of agent skills,
a plurality of contact-agent assignment strategies (pairing strategies),
a plurality of contact center system sites,
a plurality of contact center system switches, and
a plurality of benchmarking schedules.
5. The method of claim 1 , further comprising:
determining, by the at least one computer processor, a second comparison comprising a third combination of the first and third sets with a fourth combination of the second and fourth sets; and
outputting, by the at least one computer processor, a third comparison of the first comparison with the second comparison, wherein the third comparison demonstrates an extent of a Yule-Simpson effect.
6. The method of claim 1 , wherein the normalizing comprises equalizing unequal distributions of contact-agent interactions in the first cross-section of interactions and equalizing unequal distributions of contact-agent interactions in the second cross-section of interactions.
7. The method of claim 1 , wherein the first combination of the first and third normalized sets comprises aggregated normalized results of the first and third normalized sets.
8. A system for benchmarking pairing strategies in a contact center system comprising:
at least one computer processor communicatively coupled to and configured to operate in the contact center system, wherein the at least one computer processor is further configured to:
determine a first set of contact-agent interaction results for a first cross-section of interactions paired using a first pairing strategy;
determine a second set of contact-agent interaction results for the first cross-section of interactions paired using a second pairing strategy;
determine a third set of contact-agent interaction results for a second cross-section of interactions paired using the first pairing strategy;
determine a fourth set of contact-agent interaction results for the second cross-section of interactions paired using the second pairing strategy;
normalize the first set with the second set and the third set with the fourth set;
determine a first comparison comprising a first combination of the first and third normalized sets with a second combination of the second and fourth normalized sets; and
output the first comparison, wherein the first comparison demonstrates that the first pairing strategy improves performance of the contact center system over the second pairing strategy.
9. The system of claim 8 , wherein the first pairing strategy is a behavioral pairing strategy.
10. The system of claim 8 , wherein the normalizing is a correction for a Yule-Simpson effect.
11. The system of claim 8 , wherein the first cross-section of interactions and the second cross-section of interactions are based on at least one of:
a plurality of time periods,
a plurality of agent skills,
a plurality of contact-agent assignment strategies (pairing strategies),
a plurality of contact center system sites,
a plurality of contact center system switches, and
a plurality of benchmarking schedules.
12. The system of claim 8 , wherein the at least one computer processor is further configured to:
determine a second comparison comprising a third combination of the first and third sets with a fourth combination of the second and fourth sets; and
output a third comparison of the first comparison with the second comparison, wherein the third comparison demonstrates an extent of a Yule-Simpson effect.
13. The system of claim 8 , wherein the normalizing comprises equalizing unequal distributions of contact-agent interactions in the first cross-section of interactions and equalizing unequal distributions of contact-agent interactions in the second cross-section of interactions.
14. The system of claim 8 , wherein the first combination of the first and third normalized sets comprises aggregated normalized results of the first and third normalized sets.
15. An article of manufacture for benchmarking pairing strategies in a contact center system comprising:
a non-transitory processor readable medium; and
instructions stored on the medium;
wherein the instructions are configured to be readable from the medium by at least one computer processor communicatively coupled to and configured to operate in the contact center system and thereby cause the at least one computer processor to operate so as to:
determine a first set of contact-agent interaction results for a first cross-section of interactions paired using a first pairing strategy;
determine a second set of contact-agent interaction results for the first cross-section of interactions paired using a second pairing strategy;
determine a third set of contact-agent interaction results for a second cross-section of interactions paired using the first pairing strategy;
determine a fourth set of contact-agent interaction results for the second cross-section of interactions paired using the second pairing strategy;
normalize the first set with the second set and the third set with the fourth set;
determine a first comparison comprising a first combination of the first and third normalized sets with a second combination of the second and fourth normalized sets; and
output the first comparison, wherein the first comparison demonstrates that the first pairing strategy improves performance of the contact center system over the second pairing strategy.
16. The article of manufacture of claim 15 , wherein the first pairing strategy is a behavioral pairing strategy.
17. The article of manufacture of claim 15 , wherein the normalizing is a correction for a Yule-Simpson effect.
18. The article of manufacture of claim 15 , wherein the first cross-section of interactions and the second cross-section of interactions are based on at least one of:
a plurality of time periods,
a plurality of agent skills,
a plurality of contact-agent assignment strategies (pairing strategies),
a plurality of contact center system sites,
a plurality of contact center system switches, and
a plurality of benchmarking schedules.
19. The article of manufacture of claim 15 , wherein the at least one computer processor is further caused to operate so as to:
determine a second comparison comprising a third combination of the first and third sets with a fourth combination of the second and fourth sets; and
output a third comparison of the first comparison with the second comparison, wherein the third comparison demonstrates an extent of a Yule-Simpson effect.
20. The article of manufacture of claim 15 , wherein the normalizing comprises equalizing unequal distributions of contact-agent interactions in the first cross-section of interactions and equalizing unequal distributions of contact-agent interactions in the second cross-section of interactions.