Diagnostic report improvement utilizing unobtrusive workflow logging

• US 20060241908A1
• Filed: 03/30/2005
• Published: 10/26/2006
• Est. Priority Date: 03/30/2005
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Jacobs, Nancy E., Kim, Pyungchul, Zheng, Zijian, Mydland, Mark B.
• Granted Patent: US 7,653,611 B2
• Time in Patent Office: Days
• US Class Current: 702/183
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06395 Quality analysis or management

Abstract

The subject invention leverages data logging of responses to diagnostic reports to provide data that can be mined for diagnostic report quality information. Instances of the subject invention provide an initial diagnostic report assessment means to facilitate review by an entity. The entity'"'"'s responses to the sorted diagnostic reports are logged unobtrusively to create diagnostic report quality data. This data is then analyzed by an analysis means that can then adjust the assessment means to improve its performance. In this manner, the performance of the assessment means is increased while reducing the workload of the entity reviewing the diagnostic reports. Other instances of the subject invention facilitate to increase the performance of a diagnostic report generating means as well. Instances of the subject invention can also employ machine learning techniques to facilitate in analyzing the quality data and/or in assessing the diagnostic reports.

Claims

1. A system that utilizes data mining, comprising:

an assessment model component that receives at least one diagnostic report from a diagnostic report generating system and generates a quality assessment of each report for an entity;

a logging component that creates a quality data log in response to the entity'"'"'s action with regard to the utilization of each suggestion in each of the diagnostic reports; and

an analysis component that employs the quality data log to facilitate in improving the assessment model component and/or the diagnostic report generating system.

2. The system of claim 1, the entity comprising an author associated with a software product.

3. The system of claim 1, the assessment model component employs a highest to lowest confidence sorting technique.

4. The system of claim 1, the logging component comprising a workflow logging component that logs a software product author'"'"'s responses.

5. The system of claim 1, the logging component logs a suggestion in a diagnostic report as useful when the entity takes an action suggested by the suggestion.

6. The system of claim 1, the analysis component determines improvements for the assessment model component via analysis of, at least in part, situations which provide suggestions that are not utilized by the entity.

7. The system of claim 1, the analysis component determines improvements for the assessment model component via analysis of, at least in part, situations which provide suggestions that are accepted by the entity.

8. The system of claim 1, the analysis component utilizes machine learning techniques to facilitate in improving the assessment model component and/or the diagnostic report generating system.

9. The system of claim 1 employed to improve an entity'"'"'s performance.

10. The system of claim 1 operates non-intrusively with regard to the entity.

11. A method of utilizing data mining, comprising:

receiving at least one diagnostic report containing suggestions from a diagnostic report generating system;

employing an assessment model to assess a value of the diagnostic report;

interacting with an entity to facilitate in logging the entity'"'"'s response to the diagnostic report;

analyzing the logged responses to ascertain the performance of the assessment model; and

altering the assessment model and/or the diagnostic report generating system based upon the analysis to facilitate in improving its performance with regard to diagnostic reporting.

12. The method of claim 11, the entity comprising an author associated with a software product.

13. The method of claim 11, the diagnostic report generating system comprising an assistant platform.

14. The method of claim 11 employed to improve an entity'"'"'s performance.

15. The method of claim 11, the assessment model utilizes a highest to lowest confidence sorting technique.

16. The method of claim 11 processes unobtrusively with regard to the entity.

17. The method of claim 11 further comprising:

logging a suggestion in a diagnostic report as useful when the entity takes an action suggested by the suggestion.

18. The method of claim 11 further comprising:

logging a suggestion in a diagnostic report as not useful when the entity rejects an action suggested by the suggestion.

19. The method of claim 11 further comprising:

employing machine learning techniques to facilitate in improving performance of the assessment model and/or the diagnostic report generating system.

20. A system that utilizes data mining, comprising:

means for receiving at least one diagnostic report from a diagnostic report generating system;

means for generating a quality assessment of each diagnostic report for an entity;

means for creating a quality data log in response to the entity'"'"'s action with regard to the utilization of each of the diagnostic reports; and

means for employing the quality data log to facilitate in improving the quality assessment and/or the diagnostic report generating system.