METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR USING STORED CONJOINT ANALYSIS SOFTWARE ITERATION DATA IN CONJOINT ANALYSIS OF DIFFERENT PRODUCT OR SERVICE COMBINATIONS

• US 20120089478A1
• Filed: 10/03/2011
• Published: 04/12/2012
• Est. Priority Date: 10/01/2010
• Status: Abandoned Application

• Current Assignee: ADP LLC (Automatic Data Processing Incorporated)
• Original Assignee: ADP LLC (Automatic Data Processing Incorporated)
• Inventors: Murphy, Colleen, Shopmyer, Rich, Ruffin, William Haywood Craige
• Application Number:
  US13/251,775
• Publication Number:
  US 20120089478A1
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

The subject matter described herein includes methods, systems, and computer readable media for using stored conjoint analysis software iteration data in conjoint analysis of different product or service combinations. A method for using stored conjoint analysis software iteration data in conjoint analysis of different product or service combinations is provided. The method includes, storing, in memory accessible by a computer, conjoint analysis software iteration data from an iteration of the conjoint analysis software against a first set of product or service combinations and using the stored conjoint analysis software iteration data as input to conjoint analysis software being executed.

Claims

1. A method for using stored conjoint analysis software iteration data in conjoint analysis of different product or service combinations, the method comprising:

storing, in memory accessible by a computer, conjoint analysis software iteration data from an iteration of conjoint analysis software for determining relative fits of product or service combinations in a first set of product or service combinations;

executing, using a processor, the same conjoint analysis software or different conjoint analysis software against a second set of product or service combinations different from the first set and using the stored conjoint analysis software iteration data as input to the conjoint analysis software being executed; and

outputting, to the user via an output device, results of the execution of the conjoint analysis software indicating relative fits of the product or service combinations in the second set based on the stored conjoint analysis software iteration data.

2. The method of claim 1 where the conjoint analysis software iteration data includes user input to questions presented by the conjoint analysis software during the iteration of the conjoint analysis software against the first set of product or service combinations.

3. The method of claim 1 wherein the conjoint analysis software iteration data includes an importance profile generated by the conjoint analysis software during the iteration of the conjoint analysis software against the first set of product or service combinations.

4. The method of claim 1 wherein the first and second sets of product or service combinations include health plans available to users at different times.

5. The method of claim 1 wherein the first and second sets of product or service combinations include prescription drug plans available to users at different times.

6. The method of claim 1 comprising presenting the user with an option to store the conjoint analysis software iteration data during an iteration of the conjoint analysis software as a subscription service.

7. The method of claim 1 comprising requesting medical usage information from the user and wherein outputting the relative fits includes considering the medical usage information in addition to the user preference information to determine the relative fits of the product or service combinations in the second set.

8. The method of claim 7 comprising predicting and outputting to the user estimated medical costs for each of the product or service combinations in the second set based on the medical usage information.

9. The method of claim 1 comprising identifying the user as being a member of a subpopulation of users based on the conjoint analysis software iteration data from the iteration of the conjoint analysis software against the first set of product or service combinations and wherein executing the conjoint analysis software against the second set of product or service combinations includes using the subpopulation to which the user belongs to predict best fit results of the product or service combinations in the second set.

10. The method of claim 1 comprising generating an average profile based on conjoint analysis software iteration data for a plurality of users that execute the conjoint analysis software against the first set of product or service combinations and using the average profile to indicate relative utility of product or service combinations in the first set for a user who has not executed the conjoint analysis software but whose demographics or preferences match the average profile.

11. A system for using conjoint analysis software iteration data in conjoint analysis of different product or service combinations, the system comprising:

a conjoint analysis software iteration data storage and retrieval module for storing, in memory accessible by computer, conjoint analysis software iteration data from an iteration of conjoint analysis software against a first set of product or service combinations;

a conjoint analysis engine for performing conjoint analysis against a second set of product or service combinations different from the first set using the stored conjoint analysis software iteration data as input to the conjoint analysis software being executed; and

a user interface module for outputting, to the user via an output device, results of the execution of the conjoint analysis software indicating relative fits of the product or service combinations in the second set based on the stored conjoint analysis software iteration data.

12. The system of claim 11 where the conjoint analysis software iteration data includes user input to questions presented by the conjoint analysis software during the iteration of the conjoint analysis software against the first set of product or service combinations.

13. The system of claim 11 wherein the conjoint analysis software iteration data includes an importance profile generated by the conjoint analysis software during the iteration of the conjoint analysis software against the first set of product or service combinations.

14. The system of claim 11 wherein the first and second sets of product or service combinations include health plans available to users at different times.

15. The system of claim 11 wherein the first and second sets of product or service combinations include prescription drug plans available to users at different times.

16. The system of claim 11 wherein the user input module is configured to present the user with an option to store the user input during an iteration of the conjoint analysis software as a subscription service.

17. The system of claim 11 wherein the user input module is configured to obtain medical usage information from the user and wherein the conjoint analysis engine is configured to use the medical usage data in calculating the relative fits.

18. The system of claim 17 wherein estimated total product costs, calculated from the obtained medical usage information are used as inputs to the conjoint analysis engine to estimate the relative fits.

19. The system of claim 18 comprising a cost calculator for using the obtained medical usage information to project total estimated costs of product or service combinations in the second set.

20. The system of claim 11 wherein the conjoint analysis engine is configured to identify the user as being a member of a subpopulation of users based on the conjoint analysis software iteration data the iteration of the conjoint analysis software against the first set of product or service combinations and wherein executing the conjoint analysis software against the second set of products or service combinations includes using the subpopulation to which the user belongs to predict best fit results of the product or service combinations in the second set.

21. The system of claim 11 wherein the conjoint analysis engine is configured to generate an average profile based on conjoint analysis software iteration data for a plurality of users that execute the conjoint analysis software against the first set of product or service combinations and using the average profile to indicate relative utility of product or service combinations in the first set for a user who has not executed the conjoint analysis software but whose demographics or preferences match the average profile.

22. A non-transitory computer readable medium having stored thereon executable instructions that when executed by the processor of a computer control the computer to perform steps comprising:

storing, in memory accessible by a computer, conjoint analysis software iteration data from an iteration of conjoint analysis software for determining relative fits of product or service combinations in a first set of product or service combinations;

executing, using a processor, the same conjoint analysis software or different conjoint analysis software against a second set of product or service combinations different from the first set and using the stored conjoint analysis software iteration data as input to the conjoint analysis software being executed; and

outputting, to the user via an output device, results of the execution of the conjoint analysis software indicating relative fits of the product or service combinations in the second set based on the stored conjoint analysis software iteration data.