Microsoft technology licensing, llc (20240119462). USE OF CUSTOMER ENGAGEMENT DATA TO IDENTIFY AND CORRECT SOFTWARE PRODUCT DEFICIENCIES simplified abstract
Contents
- 1 USE OF CUSTOMER ENGAGEMENT DATA TO IDENTIFY AND CORRECT SOFTWARE PRODUCT DEFICIENCIES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 USE OF CUSTOMER ENGAGEMENT DATA TO IDENTIFY AND CORRECT SOFTWARE PRODUCT DEFICIENCIES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does the technology ensure the accuracy of identifying potential deficiencies in the software product based on customer engagement data?
- 1.11 What measures are in place to ensure the generated repair tickets are effectively addressed by the development team?
- 1.12 Original Abstract Submitted
USE OF CUSTOMER ENGAGEMENT DATA TO IDENTIFY AND CORRECT SOFTWARE PRODUCT DEFICIENCIES
Organization Name
microsoft technology licensing, llc
Inventor(s)
Karl Buhariwala of Sammamish WA (US)
Adity Agarwal of Redmond WA (US)
Ganga Narayanan of Kirkland WA (US)
Kiran Nallabothula of Redmond WA (US)
USE OF CUSTOMER ENGAGEMENT DATA TO IDENTIFY AND CORRECT SOFTWARE PRODUCT DEFICIENCIES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119462 titled 'USE OF CUSTOMER ENGAGEMENT DATA TO IDENTIFY AND CORRECT SOFTWARE PRODUCT DEFICIENCIES
Simplified Explanation
The abstract describes a method for automatically identifying the root cause of customer dissatisfaction with a software product and generating feedback items to improve the product. Here are the key points of the innovation:
- Collecting engagement data related to customer interactions with visual elements in the software product
- Detecting trigger events indicating customer dissatisfaction
- Automatically identifying potential deficiencies in the software product based on engagement data
- Generating repair tickets for development teams to address identified deficiencies
Potential Applications
This technology could be applied in various industries where customer feedback is crucial for product improvement, such as software development, customer service, and user experience design.
Problems Solved
This technology helps companies quickly identify and address root causes of customer dissatisfaction, leading to improved product quality, customer satisfaction, and retention.
Benefits
The benefits of this technology include:
- Enhanced customer satisfaction
- Faster resolution of software product issues
- Improved product quality based on customer feedback
Potential Commercial Applications
Potential commercial applications of this technology include:
- Software development companies looking to improve their products based on customer feedback
- Customer service departments seeking to address customer dissatisfaction more effectively
Possible Prior Art
One possible prior art for this technology could be customer feedback tools that collect and analyze customer responses to improve products. However, the automatic identification of deficiencies based on engagement data may be a novel aspect of this innovation.
Unanswered Questions
How does the technology ensure the accuracy of identifying potential deficiencies in the software product based on customer engagement data?
The article does not provide details on the specific algorithms or methods used to accurately identify potential deficiencies in the software product. Further information on the data analysis techniques employed would be beneficial.
What measures are in place to ensure the generated repair tickets are effectively addressed by the development team?
The article does not mention any quality control processes or follow-up mechanisms to ensure that the repair tickets are acted upon promptly and effectively. Details on the workflow for addressing identified deficiencies would be helpful in understanding the practical implementation of this technology.
Original Abstract Submitted
a method for automatically identifying a root cause of customer dissatisfaction with a software product and creating feedback items to improve the software product includes collecting engagement data pertaining to interactions between a customer and a flow of visual elements presented by the software product and detecting a trigger event indicating that the customer is dissatisfied with the software product. in response to the trigger event and based at least in part on the engagement data, a potential deficiency of the software product is automatically identified and a repair ticket is generated for a development team. the repair ticket identifies the potential deficiency of the software product.
