18369312. OPTIMIZING USER EXPERIENCES USING A FEEDBACK LOOP simplified abstract (Capital One Services, LLC)
Contents
- 1 OPTIMIZING USER EXPERIENCES USING A FEEDBACK LOOP
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 OPTIMIZING USER EXPERIENCES USING A FEEDBACK LOOP - 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 Original Abstract Submitted
OPTIMIZING USER EXPERIENCES USING A FEEDBACK LOOP
Organization Name
Inventor(s)
Weiyan Sun of Carrollton TX (US)
Elizabeth Claire Maue of Dallas TX (US)
Dustin Douglas of Plano TX (US)
OPTIMIZING USER EXPERIENCES USING A FEEDBACK LOOP - A simplified explanation of the abstract
This abstract first appeared for US patent application 18369312 titled 'OPTIMIZING USER EXPERIENCES USING A FEEDBACK LOOP
Simplified Explanation
The present disclosure is directed to systems and methods for predicting an outcome of a user journey.
- Identifying patterns based on user interactions with touchpoints
- Applying a parameter to filter the patterns
- Evaluating the filtered patterns based on an evaluation criterion
- Applying a feedback loop to modify the parameter or adjust a user experience
Potential Applications
This technology could be applied in various industries such as e-commerce, marketing, customer service, and user experience design.
Problems Solved
This technology helps in predicting user behavior and outcomes, allowing businesses to optimize their strategies and improve user engagement.
Benefits
The benefits of this technology include increased efficiency, personalized user experiences, improved customer satisfaction, and higher conversion rates.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of predictive analytics tools for businesses to enhance their customer journey and increase sales.
Possible Prior Art
One possible prior art could be predictive analytics software used in marketing and sales to forecast customer behavior and trends.
Unanswered Questions
This article does not address the specific measures or protocols in place to ensure user data privacy and compliance with regulations.
What are the limitations or challenges of implementing this technology in real-world scenarios?
This article does not discuss any potential obstacles or difficulties that may arise when implementing this technology in practical applications.
Original Abstract Submitted
The present disclosure is directed to systems and methods for predicting an outcome of a user journey. For example, a method may include: identifying a plurality of patterns based on a plurality of user interactions of a plurality of users with a plurality of touchpoints; applying a parameter to filter the plurality of patterns; evaluating the filtered plurality of patterns based an evaluation criterion; and applying a feedback loop based on the evaluation of the filtered patterns to modify the parameter or adjust a user experience.
