Computer-assisted systems and methods for determining effectiveness of survey question

• US 6,895,405 B1
• Filed: 05/31/2001
• Issued: 05/17/2005
• Est. Priority Date: 01/31/2001
• Status: Expired due to Term

• Current Assignee: Rosetta Marketing Group LLC
• Original Assignee: Rosetta Marketing Strategies Group LLC (Publicis Groupe SA)
• Inventors: Kuenne, Christopher B., Choi, Lawrence J., Holstein, Kurt E. II
• Primary Examiner(s): Wossum, Luke S.
• Assistant Examiner(s): PHAM, KHANH B
• Application Number:
  US09/867,800
• Time in Patent Office: 1,447 Days
• Field of Search: 707/6, 707/101, 707/100, 707/104.1, 707/10, 705/10, 705/14, 706/45, 706/48, 706/52
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: Y10S 707/99936 Pattern matching access
• CPC Class Codes: Y10S 707/99942 Manipulating data structure, e.g. compression, compaction, compilation
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing

Abstract

A computer-assisted method is disclosed for determining a potential effectiveness of a survey question. The disclosed method includes segregating a plurality of responses to a survey question into a plurality of categories, and determining a response distribution for each of the plurality of categories. The disclosed method also includes calculating a box score and a difference score for the survey question from the response distributions, and using the box score and the difference score to obtain an effectiveness score for the survey question.

Claims

1. A computer-assisted method for determining a potential effectiveness of a survey question, comprising the activities of:

segregating a plurality of responses to a survey question into a plurality of categories;

determining a response distribution for each of the plurality of categories;

calculating a top box score and a difference score for the survey question from the response distributions; and

using the top box score and the difference score to obtain an effectiveness score for the survey question.

2. The method of claim 1, further comprising evaluating the survey question based on the effectiveness score.

3. The method of claim 1, wherein the plurality of categories are top 2 box categories.

4. The method of claim 1, wherein the plurality of categories are top 3 box categories.

5. The method of claim 1, wherein the response distribution for a category can be determined by dividing a number of responses associated with the category by a total number of the plurality of responses.

6. The method of claim 1, wherein the top box score can be calculated by adding a top box response percent to a bottom box response percent, subtracting an ideal distribution of neutrals percent, and multiplying an absolute value of a result by 100.

7. The method of claim 1, wherein the difference score can be calculated by subtracting a bottom box response percent from a top box response percent and multiplying an absolute value of a result by 100.

8. The method of claim 1, wherein the top box score can be added to the difference score to obtain the effectiveness score.

9. A machine-readable medium storing instructions for activities comprising:

segregating a plurality of responses to a survey question into a plurality of categories;

determining a response distribution for each of the plurality of categories;

calculating a top box score and a difference score for the survey question from the response distributions; and

using the top box score and the difference score to obtain an effectiveness score for the survey question.

10. An apparatus for determining a potential effectiveness of a survey question, comprising:

means for segregating a plurality of responses to a survey question into a plurality of categories;

means for determining a response distribution for each of the plurality of categories;

means for calculating a top box score and a difference score for the survey question from the response distributions; and

means for using the top box score and the difference score to obtain an effectiveness score for the survey question.