Method and System for Tracking and Coaching Service Professionals

• US 20090234720A1
• Filed: 06/20/2008
• Published: 09/17/2009
• Est. Priority Date: 03/15/2008
• Status: Abandoned Application

• Current Assignee: Gridbyte Co.
• Original Assignee: Gridbyte Co.
• Inventors: Frank, Julee, George, Sam O.
• Application Number:
  US12/143,516
• Publication Number:
  US 20090234720A1
• Time in Patent Office: Days
• US Class Current: 705/11
• 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 10/10 Office automation; Time management

Abstract

A method and system for tracking and managing a service professional'"'"'s business includes a server coupled to the Internet for receiving business parameter data from a service professional on a remote computer. Business parameter data includes a variety of data of relevance to the service professional'"'"'s particular type of business. Current and historical business parameter data are subjected to a multivariate regression analysis to determine a business model equation'"'"'s coefficients which may be linear or polynomial. Current week business parameter data can be applied to the business model to determine whether the business is operating within the business model or is achieving performance goals. The business model equation can be used to suggest measures to improve business performance. Coefficients of other service professional business models may be mined to provide peer comparisons. Analysis results can be used to generate coaching suggestions which the server can deliver to the service professional.

Claims

1. A method for tracking business performance of a service professional, comprising:

receiving in a server business parameter data provided by the service professional;

storing the received business parameter data in a database;

performing a multivariate regression analysis on the business parameter data to identify a plurality of coefficients defining a characteristic equation of the service professional'"'"'s business;

applying the received business parameter data to the characteristic equation of the service professional'"'"'s business to generate a performance measure of the service professional'"'"'s business; and

generating a report including the performance measure.

2. The method of claim 1, further comprising:

comparing the characteristic equation of the service professional'"'"'s business to a cohort model derived from other business models stored in the database; and

generating a report based upon the comparison.

3. The method of claim 1, further comprising:

applying the received business parameter data to a cohort model derived from other business models stored in the database to generate a performance measure of the cohort model; and

refining the characteristic equation of the service professional'"'"'s business based upon results of applying the received business parameter data to a cohort model.

4. The method of claim 1, further comprising:

applying neural network analysis to the received business parameter data; and

refining the characteristic equation for the service professional'"'"'s business based upon the results of the neural network analysis.

5. The method of claim 4, further comprising:

applying time-varying statistical analysis to the received business parameter data; and

refining the characteristic equation for the service professional'"'"'s business based upon the results of the time-varying statistical analysis.

6. The method of claim 4, further comprising:

applying a heuristic analysis to the received business parameter data, the results of the multivariate regression analysis, the results of the neural network analysis and the time-varying statistical analysis; and

refining the characteristic equation for the service professional'"'"'s business based upon the results of the heuristic analysis.

7. The method of claim 1, further comprising:

comparing predictions from prior year business model to the received business parameter data to determine a degree of correlation; and

incorporating the prior year business model as an input to the generation of the characteristic equation of the service professional'"'"'s business depending upon the degree of correlation.

8. The method of claim 1, wherein the service professional is a hair salon professional and the business parameter data include parameters relevant to a hair salon service business.

9. The method of claim 1, further comprising:

performing a correlation analysis of business parameter data to rank business parameters in order of their correlation to business revenues; and

performing the multivariate regression analysis based on the rank order.

10. The method of claim 1, wherein the generated performance measure of the service professional'"'"'s business comprises a projection of the business'"'"'s performance in a subsequent week.

11. The method of claim 10, further comprising:

comparing the projection of the business'"'"'s performance in a subsequent week to a goal; and

generating a report providing business goals for the subsequent week.

12. The method of claim 1, further comprising:

identifying business parameters which have greatest impact on business revenues; and

generating a report advising the service professional on actions that can be taken to improve business performance based on the business parameters with greatest impact on business revenues.

13. The method of claim 1, wherein the business parameter data include data for walk-in clients, referral clients, repeat clients, and salon clients.

14. A server, comprising:

a processor;

a memory coupled to the processor; and

a network interface circuit coupled to the processor configured to enable the processor to communicate with an internetwork,

the processor configured with processor-executable software instructions to perform steps comprising;

receiving in a server business parameter data provided by the service professional;

storing the received business parameter data in a database;

performing a multivariate regression analysis on the business parameter data to identify a plurality of coefficients defining a characteristic equation of the service professional'"'"'s business;

applying the received business parameter data to the characteristic equation of the service professional'"'"'s business to generate a performance measure of the service professional'"'"'s business; and

generating a report including the performance measure.

15. The server of claim 14, wherein the processor is configured with processor-executable software instruction to perform further steps comprising:

comparing the characteristic equation of the service professional'"'"'s business to a cohort model derived from other business models stored in the database; and

generating a report based upon the comparison.

16. The server of claim 14, wherein the processor is configured with processor-executable software instruction to perform further steps comprising:

applying the received business parameter data to a cohort model derived from other business models stored in the database to generate a performance measure of the cohort model; and

refining the characteristic equation of the service professional'"'"'s business based upon results of applying the received business parameter data to a cohort model.

17. The server of claim 14, wherein the processor is configured with processor-executable software instruction to perform further steps comprising:

applying neural network analysis to the received business parameter data; and

refining the characteristic equation for the service professional'"'"'s business based upon the results of the neural network analysis.

18. The server of claim 17, wherein the processor is configured with processor-executable software instruction to perform further steps comprising:

applying time-varying statistical analysis to the received business parameter data; and

refining the characteristic equation for the service professional'"'"'s business based upon the results of the time-varying statistical analysis.

19. The server of claim 17, wherein the processor is configured with processor-executable software instruction to perform further steps comprising:

applying a heuristic analysis to the received business parameter data, the results of the multivariate regression analysis, the results of the neural network analysis and the time-varying statistical analysis; and

refining the characteristic equation for the service professional'"'"'s business based upon the results of the heuristic analysis.

20. The server of claim 14, wherein the processor is configured with processor-executable software instruction to perform further steps comprising:

comparing predictions from prior year business model to the received business parameter data to determine a degree of correlation; and

incorporating the prior year business model as an input to the generation of the characteristic equation of the service professional'"'"'s business depending upon the degree of correlation.

21. The server of claim 14, wherein the service professional is a hair salon professional and the business parameter data include parameters relevant to a hair salon service business.

22. The server of claim 14, wherein the processor is configured with processor-executable software instruction to perform further steps comprising:

performing a correlation analysis of business parameter data to rank business parameters in order of their correlation to business revenues; and

performing the multivariate regression analysis based on the rank order.

23. The server of claim 14, wherein the generated performance measure of the service professional'"'"'s business comprises a projection of the business'"'"'s performance in a subsequent week.

24. The server of claim 14, wherein the processor is configured with processor-executable software instruction to perform further steps comprising:

comparing the projection of the business'"'"'s performance in a subsequent week to a goal; and

generating a report providing business goals for the subsequent week.

25. The server of claim 14, wherein the processor is configured with processor-executable software instruction to perform further steps comprising:

identifying business parameters which have greatest impact on business revenues; and

generating a report advising the service professional on actions that can be taken to improve business performance based on the business parameters with greatest impact on business revenues.

26. The server of claim 14, wherein the business parameter data include data for walk-in clients, referral clients, repeat clients, and salon clients.