PROFICIENCY-BASED PROFILING SYSTEMS AND METHODS

• US 20180137527A1
• Filed: 11/11/2016
• Published: 05/17/2018
• Est. Priority Date: 11/11/2016
• Status: Active Grant

• Current Assignee: Qwalify Inc.
• Original Assignee: Qwalify Inc.
• Inventors: Noelting, Philippe, Abramovitch, Avery
• Granted Patent: US 10,332,137 B2
• Time in Patent Office: Days
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: G06Q 30/0204 Market segmentation

Abstract

Systems and methods that provide proficiency-based profiling and matching are provided herein. An example method includes providing a series of questions to a plurality of individuals related to a plurality of segments using data reference structures generated from subject matter information, receiving answers to a series of questions from the plurality of individuals, the answers being indicative of a proficiency level of an individual, building a profile for each of the plurality of individuals using the elicited information based on one or more unique subject matter domains.

Claims

1. A computer-implemented method performed by at least one processor, the method comprising:

generating an entity knowledge base for an entity, the entity knowledge base comprising descriptive information of the entity;

establishing a plurality of segments for the entity based on parsing keywords or topics in the entity knowledge base, the plurality of segments relating to unique subject matter domains of the entity;

providing a plurality of individuals with an electronic initial survey, the initial survey comprising questions directed to eliciting information that allows for placement of the plurality of individuals into one or more of the plurality of segments for the entity;

segmenting the plurality of individuals into one or more of the plurality of segments based on each individual'"'"'s contributions in view of the questions in the initial survey;

for each of the plurality of segments, electronically eliciting information from the plurality of individuals in that segment using questions generated from data reference structures wherein the data reference structures comprise a framework that catalogs at least one of product data, market data and reactionary data related to the segment of the entity;

receiving the elicited information from the plurality of individuals, the received information comprising answers to a series of behavior and proficiency questions that are indicative of a proficiency level of an individual, wherein the series of proficiency questions is constructed from the data reference structures;

providing the series of proficiency questions to the plurality of individuals according to a schedule, wherein the schedule is based on any of time and quantity;

updating the data reference structures using contributions to a series of proficiency questions;

refining the data reference structures through use of machine learning that uses the elicited information from the plurality of individuals, as well as feedback from the entity; and

building a profile for each of the plurality of individuals using the answers to the initial survey, contributions, and the elicited information.

2. The method according to claim 1, further comprising generating the data reference structures by:

parsing the subject matter information obtained from a plurality of sources for keywords, key phrases, or data instances related to the data reference structures that are indicative of the unique subject matter domains;

applying data filters to the keywords; and

classifying and normalizing the filtered keywords.

3. The method according to claim 1, further comprising assigning the data reference structures to the unique subject matter domains.

5. The method according to claim 1, further comprising:

creating one or more discussion board groups, each discussion board group being associated with one of the unique subject matter domains.

6. The method according to claim 5, further comprising presenting a series of proficiency questions in the one or more discussion board groups, the series of proficiency questions selected based on the unique subject matter domains.

7. The method according to claim 1, further comprising calculating any of a rank and authority level for each of the plurality of individuals based on the contributions to the series of proficiency questions.

10. The method according to claim 1, further comprising:

establishing candidacy reference structures that comprise departments for the entity; and

determining when goal parameters are present for each of the candidacy reference structures.

11. The method according to claim 1, further comprising determining a contribution level for each of the plurality of individuals based on the elicited information, wherein the contribution level is based on open-ended information provided by the plurality of individuals.

4. (canceled)

8. (canceled)

9. The method according to claim 8, further comprising executing engagement logic to increase engagement in responding to the series of proficiency questions when participation of the plurality of individuals falls below an engagement threshold value.

12. A system, comprising:

a data reference structuring server that;

obtains subject matter information for an entity, the subject matter information comprising descriptive information of the entity;

establishes a plurality of segments for the entity based on keywords or topics in the subject matter information, the plurality of segments relating to unique subject matter domains; and

generates data reference structures by;

parsing the subject matter information for the keywords or topics that are indicative of the unique subject matter domains;

applying data filters to the keywords;

classifying and normalizing the filtered keywords; and

assigning the data reference structures to the unique subject matter domains;

an engagement server that;

elicits information related to the plurality of segments using data reference structures generated from the subject matter information; and

receives the elicited information from a plurality of individuals, answers to a series of proficiency questions being indicative of a proficiency level of an individual, wherein the series of proficiency questions is constructed from the data reference structures;

providing the series of proficiency questions to the plurality of individuals according to a schedule, wherein the schedule is based on any of time and quantity; and

a segmentation server that builds a profile for each of the plurality of individuals using the elicited information.

13. The system according to claim 12, wherein the data reference structures comprise a framework that catalogs product, market and reactionary data.

14. The system according to claim 12, further comprising a distribution server that:

creates one or more discussion board groups, each being associated with one of the unique subject matter domains; and

presents the series of proficiency questions in the one or more discussion board groups, based on the unique subject matter domains.

15. The system according to claim 14, wherein the distribution server further provides the series of proficiency questions to the plurality of individuals according to a schedule, wherein the schedule is based on any of time and quantity.

16. The system according to claim 12, wherein the data reference structures are updated by the data reference structuring server which uses the answers to the series of proficiency questions.

17. The system according to claim 12, further comprising a contribution analysis server that calculates any of a rank and authority level for each of the plurality of individuals based on the answers to the series of proficiency questions.

18. A method, comprising:

generating an entity knowledge base for an entity, the entity knowledge base comprising descriptive information of the entity and information relating to products or services provided by the entity;

establishing a plurality of segments for the entity based on keywords or topics in the entity knowledge base, the plurality of segments relating to unique subject matter domains;

providing a series of questions to a plurality of individuals, the series of questions related to the plurality of segments using data reference structures generated from subject matter information;

receiving answers to the series of questions from the plurality of individuals, the answers being indicative of a proficiency level of an individual;

building a profile for each of the plurality of individuals using the elicited information; and

matching the profile to one or more opportunities of the entity so as to provide a qualified candidate to the entity that is based on demonstrated knowledge of the entity in one or more of the unique subject matter domains.

19. The method according to claim 18, further comprising providing the series of proficiency questions to the plurality of individuals according to a schedule, wherein the schedule is based on any of time and quantity.

20. The method according to claim 18, further comprising executing engagement logic to increase engagement in responding to the series of proficiency questions when participation of the plurality of individuals falls below an engagement threshold value.