Method and apparatus for identifying candidates for a position

• US 20060212338A1
• Filed: 03/18/2005
• Published: 09/21/2006
• Est. Priority Date: 03/18/2005
• Status: Abandoned Application

• Current Assignee: Jobster, Inc. (Zapoint, Inc.)
• Original Assignee: Jobster, Inc. (Zapoint, Inc.)
• Inventors: Bogle, Phillip Lee, Lowry, Ethan James, Kennedy, Eric Brendan
• Application Number:
  US11/083,029
• Publication Number:
  US 20060212338A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06398 Performance of employee with respect to a job function
• CPC Class Codes: G06Q 10/1053 Employment or hiring
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A method and apparatus for identifying candidates for a position is provided where the position is defined in a campaign for the position. Preferably, the method includes steps of and/or apparatus performs steps of sending campaign information to a plurality of contacts, receiving a candidate referral from at least one of the plurality of contacts, and ranking candidate profiles based on candidate profile rank, wherein the candidate profile rank is based at least in part on a referral rating.

Claims

1. A method of identifying candidates for a position, the position being defined in a campaign for the position, the method comprising:

sending campaign information to a plurality of contacts;

receiving a candidate referral from at least one of the plurality of contacts; and

ranking candidate profiles based on candidate profile rank,

wherein the candidate profile rank is based at least in part on a referral rating.

2. The method of claim 1, wherein sending campaign information comprises at least one of:

transmitting a campaign email to at least one contact; and

appending campaign information as a signature to an outgoing message.

3. The method of claim 1, further comprising at least one of:

posting campaign information as a banner advertisement on a Web site; and

posting campaign information on a job postings Web page.

4. The method of claim 1, wherein the campaign comprises a record containing at least a job description;

a candidate requirement; and

a contact for the campaign.

5. The method of claim 1, further comprising creating the campaign for the position.

6. The method of claim 5, wherein creating the campaign for the position comprises:

defining job aspects;

defining candidate requirements; and

defining contact information for the campaign.

7. The method of claim 6,

wherein job aspects comprise company description, job location, job responsibilities, and salary range, and

wherein candidate requirements comprise employment history and educational background.

8. The method of claim 1, wherein the plurality of contacts comprise candidate referrers.

9. The method of claim 8, wherein the plurality of contacts further comprise candidates for the position.

10. The method of claim 8, wherein sending campaign information to the plurality of contacts comprises:

identifying candidate referrers from a contact list; and

sending campaign information to identified candidate referrers.

11. The method of claim 10, wherein candidate referrers are identified at least in part based on a referrer rating.

12. The method of claim 11, wherein the referrer rating is based on at least one of:

a hiring rate of referred candidates,

an interview rate of referred candidates,

a review rate of referred candidates, and

a position of the referrer within a company.

13. The method of claim 11, wherein referral ratings are based at least in part on the referrer rating of the candidate referrers.

14. The method of claim 13, wherein referral ratings are further based at least in part on a referral strength.

15. The method of claim 13, wherein referral ratings are further based at least in part on a relationship between referrers and referred candidates.

16. The method of claim 8, further comprising personalizing campaign information for the candidate referrers.

17. The method of claim 16, wherein personalizing campaign information for the candidate referrers comprises:

sending a personalized message to the candidate referrers; and

at least one of;

drafting the personalized message for a given candidate referrer;

selecting one of a previously sent message and a template message for a given candidate referrer; and

automatically generating the personalized message based on a candidate referrer profile.

18. The method of claim 1, further comprising responding to received campaign information, wherein responding to received campaign information comprises at least one of:

submitting the candidate referral;

forwarding the campaign information to a candidate prospect; and

submitting a candidate profile for the campaign.

19. The method of claim 18, further comprising tracking campaign information recipients.

20. The method of claim 19, wherein tracking campaign information recipients comprises tracking a chain of connections to each campaign information recipient.

21. The method of claim 19, wherein campaign information recipients are prompted to update corresponding profiles when responding to the received campaign information.

22. The method of claim 1, wherein ranking candidate profiles comprises:

generating a predicted prospect ranking (PPR) based at least in part on referral ratings and a comparison of candidate profiles to campaign requirements,

wherein candidate profiles are ranked based at least in part on the PPR.

23. The method of claim 22, further comprising:

generating an explicit prospect rating (EPR) from the PPR,

wherein candidate profiles are ranked based at least in part on the EPR.

24. The method of claim 23, further comprising:

comparing the PPR with the EPR to identify a PPR rating accuracy; and

adjusting a PPR generation algorithm based on the PPR/EPR comparison to improve the PPR rating accuracy.

25. The method of claim 1, further comprising selecting positions for a candidate,

wherein campaigns include at least one defined job aspect, and

wherein selecting positions for the candidate comprises:

defining a candidate profile including at least one preferred job aspect;

comparing defined job aspects to preferred job aspects; and

filtering a set of positions for the candidate based on the defined job aspect to preferred job aspect comparison.

26. A candidate identification system, comprising:

a campaign manager adapted and configured to;

maintain candidate identification campaigns; and

send campaign information to a plurality of contacts;

a referral manager adapted and configured to track referral histories of candidate referrers; and

an applicant tracker adapted and configured to;

receive a candidate referral from at least one of the plurality of contacts; and

rank candidate profiles based at least in part on a referral rating.

27. The system of claim 26, wherein referral ratings are based at least in part on the referral histories of candidate referrers.

28. The system of claim 27, wherein referral ratings are further based at least in part on a referral strength.

29. The system of claim 27, wherein referral ratings are further based at least in part on a relationship between referrers and referred candidates.

30. The system of claim 26, wherein the referral manager tracks at least one of:

a hiring rate of referred candidates;

an interview rate of referred candidates; and

a review rate of referred candidates.

31. The system of claim 26, wherein the system includes a processor programmed to include the campaign manager, referral manager, and applicant tracker.

32. A candidate identification system, comprising:

means for sending campaign information to a plurality of contacts;

means for receiving candidate profiles from the plurality of contacts; and

means for ranking candidate profiles based at least in part on a referral rating.

33. The candidate identification system of claim 32, wherein the plurality of contacts comprises a plurality of referrers.

34. The candidate identification system of claim 33, wherein the plurality of contacts further comprises a plurality of candidates.

35. The candidate identification system of claim 33, further comprising:

means for tracking a referral history of the plurality of referrers,

wherein referral ratings are based at least in part on the referral histories of the plurality of referrers.

36. A method of identifying candidates for a position, the position being defined in a campaign for the position, the method comprising:

syndicating a feed for campaign information;

publishing campaign information to the syndicated feed;

receiving a candidate referral in response to the published campaign; and

ranking candidate profiles based on candidate profile rank,

wherein the candidate profile rank is based at least in part on a referral rating.

37. A method of identifying candidates for a position, the position being defined in a campaign for the position, the method comprising:

publishing campaign information to a targeted audience;

receiving a candidate referral in response to the published campaign; and

ranking candidate profiles based on candidate profile rank,

wherein the candidate profile rank is based at least in part on a referral rating.

38. The method of claim 37, wherein publishing campaign information to a targeted audience comprises at least one of:

sending campaign information to a plurality of contacts;

posting campaign information as a banner advertisement on a Web site;

posting campaign information on a job postings Web page; and

publishing a blog containing campaign information.