Product Workflow Usability Assessment with Embedded Markers
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Solution Overview
Problem
Existing methods for assessing product usability, such as usability studies and automated analysis, either require significant time and resources or lack deep user engagement, failing to provide comprehensive insights into user experiences.
Innovation Solution
A computer-implemented method that embeds markers in product documentation and code, calculates metrics based on user interactions, and generates a report on user experience, combining the strengths of both manual and automated approaches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If usability studies are conducted through direct observation and human interactions, then deeper insights into user experience are obtained, but time and resource consumption increases
Solution Approach 1:
The system performs preliminary actions by embedding tracking markers and instrumentation code into the product documentation and deployment packages before users receive them. This pre-prepared infrastructure enables automatic data collection during user interactions, eliminating the need for extensive manual observation setup while maintaining deep insight capabilities.
Solution Approach 2:
The system creates a virtual copy of the usability study process by instrumenting the actual product with markers that automatically track user interactions. Instead of manual researchers observing and recording every action, the copied functionality is embedded in the product itself, collecting equivalent data automatically at scale.
2Productivity
If automated analysis is used to gather and quantify user interactions, then time and resource requirements are reduced, but deep engagement with users and understanding of their experiences is lost
Solution Approach 1:
The system implements feedback loops where automated marker tracking collects user interaction data, which is then analyzed to generate insights about user experience. The feedback mechanism includes tracking not just quantitative metrics but also qualitative patterns in user behavior, allowing the system to maintain measurement precision while achieving high productivity through automation.
Solution Approach 2:
The patent introduces markers and instrumentation code as intermediaries between the user and the analysis system. These intermediaries are embedded in the product and documentation, automatically capturing user interactions without requiring direct human observation. The intermediaries bridge the gap between automated collection and deep insight generation, enabling both efficiency and measurement precision.
3Loss of information
If manual usability studies are conducted, then comprehensive user experience data is collected, but the complexity and resource requirements of the assessment process increase
Solution Approach 1:
The system merges the usability assessment functionality directly into the product deployment package and documentation. By combining the product delivery mechanism with embedded tracking markers and instrumentation, the system collects comprehensive user experience data without requiring separate complex assessment infrastructure. The assessment capabilities are unified with the product itself, reducing overall process complexity.
Solution Approach 2:
The product performs self-service usability assessment by automatically tracking its own usage through embedded markers. The system instruments itself to collect comprehensive user interaction data without requiring external manual studies. This self-measuring capability reduces the complexity of external assessment processes while maintaining data comprehensiveness.
Data Source
AI summary
An approach for assessing a user experience with a product deployment. The approach embeds markers in documentation associated with a product. The approach embeds the markers in the product, correlated with the marker positions in the documentation. The approach calculates metrics, associated with timings between markers, based on deployment of the product by a user. The approach generates a report of an experience of the user in deploying the product.