SEGMENTED MOTIVATION PROFILES

• US 20090083118A1
• Filed: 09/21/2007
• Published: 03/26/2009
• Est. Priority Date: 09/21/2007
• Status: Abandoned Application

• Current Assignee: Maritz Holdings Inc. (InMoment, Inc.)
• Original Assignee: Maritz Incorporated
• Inventors: Garlick, Richard M., Smith, Tammy L., Godar, Paula R., Moore, Bob, Chrzan, Keith, Kallery, Jennifer Lynn
• Application Number:
  US11/859,508
• Publication Number:
  US 20090083118A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates

Abstract

A method of developing a motivation to motivate participants associated with a program-owner. The reward types of a motivation profile are defined and the participants'"'"' preferences are collected through a survey. The collected participants'"'"' preferences are modeled to determine segments of participants with similar reward preferences. An optimal motivation profile consisting of the participants'"'"' preferred reward types is generated from the modeled data and presented to the program owner in a detailed report. Additionally, a motivation profile simulator for simulating the participants'"'"' preference to a proposed motivation profile and a segmentation tool for displaying the characteristics of each segment is generated.

Claims

1. A method of developing a plurality of motivation profiles for a plurality of participants, said motivation profile specifying a reward and recognition preference of the plurality of participants, said method comprising:

defining reward types;

defining a survey to gather data related to the defined reward types of the plurality of participants;

presenting the defined survey to the plurality of participants;

collecting response data from the plurality of participants related to the presented survey;

identifying one or more segments of participants as a function of the collected data wherein each segment of participants are participants associated with the a subset of the reward types, such that each segment of participants have similar reward preferences whereby the subset of the reward type defines the motivation profile of each segment of participants; and

selecting a defined reward type based on the identified segments.

2. The method of claim 1, further comprising:

analyzing the response data of the identified segments to determine one or more of the following;

the reach of the segments, frequency of the segments, and overlap between segments.

3. The method of claim 2, wherein TURF (Total Unduplicated Reach &

Frequency) analysis is conducted on the collected response data to analyze the response data.

4. The method of claim 1, wherein an optimal motivation profile is associated with the reward type of the identified segment of the participants with the greatest number of participants.

5. The method of claim 1, wherein an optimal motivation profile is associated with the reward types of a selected plurality of identified segments such that all participants are associated with at least one of the selected plurality of identified segments and the selected plurality of the identified segments have a minimum amount of overlap between the selected plurality of the identified segments.

6. The method of claim 1, said method further comprising:

identifying the reward types of each of the participants as a function of the collected data whereby the identified reward types of each participant defines the motivation profile for each participants;

accessing by a manager of a particular participant the motivation profile of said particular participant, said manager accessing the motivation profile to determine the a meaningful and motivating reward for said particular participant.

7. The method of claim 1, wherein the survey is presented to a subset of participants within an organization, the data is collected from said subset of participants within an organization, and the identified segments associate the reward type preferences of all participants within the organization.

8. The method of claim 1, wherein cluster analysis is conducted on the collected data to identify the one or more segments.

9. The method of claim 1, said method further comprising:

generating a report specifying the reward type preferences as a function of the identified segments and the collected data.

10. The method of claim 9, wherein the report includes segment definitions, segment preferences and classification of differences between the identified segments.

11. The method of claim 1, said method further comprising:

generating a simulator tool based the identified segments for testing the reach, frequency and overlap of potential motivation profiles.

12. The method of claim 1, said method further comprising:

determining an optimal motivation profile to motivate the largest number of the plurality of participants as a function of the collected data and the identified segments.

13. The method of claim 1, wherein the survey is designed to identify the overall perception and use of rewards and recognition for the plurality of participants.

14. The method of claim 1, wherein the survey is designed to identify which reward types are most meaningful and motivating to each participant.

15. The method of claim 14, wherein the reward types include at least one of the following:

verbal praise, written praise, formal praise in front of others, recognition from my peers, lunch or dinner with company management, lunch or dinner with my department, lunch or dinner with my family, cash bonus, gift cards, points awards that can be accumulated and used toward a catalog of merchandise, travel awards, status awards like trophies or plaques, days off, flexible scheduling, freedom to choose how to achieve own goals, opportunity to attend a conference or seminar, assignment to mentor other employees, choice of interesting projects to work on, challenging projects and opportunity to work with people outside of typical area.

16. The method of claim 1, wherein the survey includes at least one of the following components:

reward preferences component utilizing Q-sort techniques of a plurality of pre-determined types for rewarding and recognizing participants;

reward use component utilizing the classification of receipt or use of the plurality of pre-determined types; and

overall engagement and environment component utilizing agreement ratings using a plurality of statements regarding engagement and recognition for the plurality of participants.

17. The method of claim 1, wherein the survey is presented online.

18. The method of claim 1, wherein the plurality of participants include at least one of the following:

to employees, salespersons, dealers, independent contractors, customers and distributors.