Method and system for assessing leadership skills

• US 20040153355A1
• Filed: 01/31/2003
• Published: 08/05/2004
• Est. Priority Date: 01/31/2003
• Status: Abandoned Application

• Current Assignee: Electronic Data Systems Corporation (Perspecta, Inc.)
• Original Assignee: Electronic Data Systems Corporation (Perspecta, Inc.)
• Inventors: Deering, Anne M., Russell, Julian, Dilts, Robert
• Application Number:
  US10/356,313
• Publication Number:
  US 20040153355A1
• Time in Patent Office: Days
• US Class Current: 705/9
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 10/06398 Performance of employee with respect to a job function
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A method and system for an organization and/or employer to evaluate the leadership skills of individuals and/or employees, and to compare the leadership skills of individuals to average leadership skills for the employer'"'"'s organization and/or industry. Individual personality and behavioral data from the employer and/or other sources are evaluated to determine two scores, one rating management skills and the other rating experience level. A graph comparing each individual to baseline management skill averages for the organization and/or the relevant industry, to baseline experience level averages for the organization and/or the relevant industry, and to a best fit line generated from multiple individual personality and behavioral data is generated. Individuals can then be grouped into categories based on combinations of high and low management skills and high and low experience level. The category within which an individual falls reflects the individual'"'"'s assessed leadership qualities.

Claims

1. A method for assessing leadership qualities of individuals, comprising the steps of:

inputting first data representing experience of at least one individual,

inputting second data representing at least one of behavioral and personality traits of the at least one individual,

statistically reducing the first data input to a first score,

statistically reducing the second data input to a second score,

providing benchmark data representing at least one of first scores and second scores for a preselected set of individuals,

comparing the first and second scores against the benchmark data, and

categorizing the at least one individual based on the comparison of the first and second scores against the benchmark data to generate an assessment of the at least one individual'"'"'s leadership qualities.

2. The method according to claim 1, wherein the first data and the second data are evaluated during an interview of the at least one individual.

3. The method according to claim 1, wherein the first data includes the at least one individual'"'"'s tenure in at least one of role, organization and industry.

4. The method according to claim 1, wherein the second data includes the at least one individual'"'"'s skill level in at least one of an ability to anticipate, an ability to be aligned, and an ability to act.

5. The method according to claim 4, wherein the ability to anticipate includes at least one of initiative, weak signal detection, vision, clarity of purpose, natural curiosity, mental agility, judgment, and problem solving skills.

6. The method according to claim 4, wherein the ability to be aligned includes at least one of a capacity to mobilize stakeholders, to create teamwork and trust, to effectively use interpersonal skills, to communicate effectively, to work with cultural differences, to create a shared need, to be optimistic, to manage stress, to be personally aligned and to effectively use intrapersonal skills.

7. The method according to claim 4, wherein the ability to act includes at least one of a capacity to define tasks and direct ability, to make decisions, to implement decisions, to adapt to changing circumstances, to maintain desire and determination, and to sustain exceptional performance.

8. The method according to claim 1, wherein the step of statistically reducing the first data input to the first score includes calculating an average of the first data input.

9. The method according to claim 8, wherein the calculated average of the first data input is a selectively weighted average.

10. The method according to claim 1, wherein the step of statistically reducing the second data input to the second score includes calculating an average of the second data input.

11. The method according to claim 10, wherein the calculated average of the second data input is a selectively weighted average.

12. The method according to claim 1, wherein the step of providing benchmark data representing at least one of the first scores and second scores for a preselected set of individuals includes calculating an average of the first scores for the preselected set of individuals.

13. The method according to claim 1, wherein the step of providing benchmark data representing at least one of the first scores and second scores for a preselected set of individuals includes calculating an average for the second scores for the preselected set of individuals.

14. The method according to claim 1, wherein the step of providing benchmark data representing at least one of first scores and second scores for a preselected set of individuals includes calculating an average of the first scores for a preselected subset of the preselected set of individuals.

15. The method according to claim 1, wherein the step of providing benchmark data representing at least one of first scores and second scores for a preselected set of individuals includes calculating an average of the second scores for a preselected subset of the preselected set of individuals.

16. The method according to claim 1, wherein the step of providing benchmark data representing at least one of first scores and second scores for a preselected set of individuals includes calculating a function representing average progress of individuals for the preselected set of individuals.

17. The method of claim 1, wherein the step of categorizing the at least one individual includes classifying the at least one individual as one of developing leader, strong leader, unproven leader and poor leader based on the first and second scores of the at least one individual relative to the benchmark data.

18. The method of claim 1, further comprising the step of recommending a course of action based on the assessment of the at least one individual'"'"'s leadership qualities.

19. A method for assessing leadership qualities of individuals, comprising the steps of:

inputting first data representing experience of at least one individual,

inputting second data representing at least one of behavioral and personality traits of the at least one individual,

statistically reducing the first data input to a first score,

statistically reducing the second data input to a second score,

graphically representing the first and second scores for the at least one individual,

providing benchmark data representing at least one of first scores and second scores for a preselected set of individuals,

graphically representing the benchmark data,

comparing the first and second scores against the benchmark data,

graphically categorizing the at least one individual based on the comparison of the first and second scores against the benchmark data to determine the at least one individual'"'"'s leadership qualities, and

generating a report in graphical format of the at least one individual'"'"'s leadership qualities.

20. The method according to claim 19, wherein the first data and the second data are evaluated during an interview of the at least one individual.

21. The method according to claim 19, wherein the first data includes the at least one individual'"'"'s tenure in at least one of role, organization and industry.

22. The method according to claim 19, wherein the second data includes the at least one individual'"'"'s skill level in at least one of an ability to anticipate, an ability to be aligned, and an ability to act.

23. The method according to claim 22, wherein the ability to anticipate includes at least one of initiative, weak signal detection, vision, clarity of purpose, natural curiosity, mental agility, judgment, and problem solving skills.

24. The method according to claim 22, wherein the ability to be aligned includes at least one of a capacity to mobilize stakeholders, to create teamwork and trust, to effectively use interpersonal skills, to communicate effectively, to work with cultural differences, to create a shared need, to be optimistic, to manage stress, to be personally aligned and to effectively use intrapersonal skills.

25. The method according to claim 22, wherein the ability to act includes at least one of a capacity to define tasks and direct ability, to make decisions, to implement decisions, to adapt to changing circumstances, to maintain desire and determination, and to sustain exceptional performance.

26. The method according to claim 19, wherein the step of statistically reducing the first data input to the first score includes calculating an average of the first data input.

27. The method according to claim 26, wherein the calculated average of the first data input is a selectively weighted average.

28. The method according to claim 19, wherein the step of statistically reducing the second data input to the second score includes calculating an average of the second data input.

29. The method according to claim 28, wherein the calculated average of the second data input is a selectively weighted average.

30. The method according to claim 19, wherein the step of providing benchmark data representing at least one of the first scores and second scores for a preselected set of individuals includes calculating an average of the first scores for the preselected set of individuals.

31. The method according to claim 19, wherein the step of providing benchmark data representing at least one of the first scores and second scores for a preselected set of individuals includes calculating an average for the second scores for the preselected set of individuals.

32. The method according to claim 19, wherein the step of providing benchmark data representing at least one of first scores and second scores for a preselected set of individuals includes calculating an average of the first scores for a preselected subset of the preselected set of individuals.

33. The method according to claim 19, wherein the step of providing benchmark data representing at least one of first scores and second scores for a preselected set of individuals includes calculating an average of the second scores for a preselected subset of the preselected set of individuals.

34. The method according to claim 19, wherein the step of providing benchmark data representing at least one of first scores and second scores for a preselected set of individuals includes calculating a function representing average progress of individuals for the preselected set of individuals, and graphically representing the calculated function as a best fit line.

35. The method of claim 19, wherein the steps of categorizing the at least one individual includes classifying the at least one individual as one of developing leader, strong leader, unproven leader and poor leader based on the first and second scores of the at least one individual relative to the benchmark data.

36. The method of claim 19, further comprising the step of recommending a course of action based on the assessments of the at least one individual'"'"'s leadership qualities.

37. The method of claim 19, wherein the first and second scores of the at least one individual are graphically represented as data points on a graph.

38. The method of claim 19, wherein the benchmark data are represented as lines on a graph.

39. The method of claim 38, wherein the lines define boundaries on a graph for categorizing the at least one individual as one of developing leader, strong leader, unproven leader and poor leader based on the first and second scores of the at least one individual relative to the benchmark data.

40. A system for assessing leadership qualities of individuals, comprising:

means for inputting first data representing experience of at least one individual and second data representing at least one of behavioral and personality traits of the at least one individual,

means for statistically reducing the first data input to a first score and the second data input to a second score,

means for providing benchmark data representing at least one of first scores and second scores for a preselected set of individuals,

means for comparing the first and second scores against the benchmark data,

means for categorizing the at least one individual based on the comparison of the first and second scores against the benchmark data, and

means for generating an assessment of the at least one individual'"'"'s leadership qualities.

41. The system of claim 40, wherein the means for generating an assessment is arranged and constructed to generate the assessment in graphical format.