Assistance Layer Templates for Digital Adoption
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Solution Overview
Problem
The process of generating assistance layers for digital tasks is labor-intensive, time-consuming, and requires high expertise, often relying on manual labor and human experts to analyze statistical data and design assistance layers, which can be inefficient and prone to errors.
Innovation Solution
The method involves generating assistance layer templates at a central entity, crowdsourcing data from clients, and dynamically adjusting these templates based on usage data, providing a kit with preconfigured templates that clients can edit and customize, reducing the need for manual labor and enhancing the efficiency of assistance layer creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual labor and human experts are used to generate assistance layers, then the quality and expertise of assistance layers is improved, but the time consumption and labor intensity increase significantly
Solution Approach 1:
The system performs preliminary action by automatically generating assistance layer templates in advance based on statistical data analysis, so that when clients need assistance layers, pre-generated templates are already available for selection and customization, eliminating the need for manual creation from scratch
Solution Approach 2:
The system enables self-service by allowing clients to automatically generate, select, and customize assistance layer templates using the provided tools and statistical data, without requiring manual intervention from experts for each template creation
2Reliability
If manual expert analysis is used to design assistance layers, then the reliability and accuracy of assistance layers is improved, but the productivity and efficiency decrease
Solution Approach 1:
The system implements feedback by continuously analyzing statistical data from user interactions with digital tasks and using this feedback to automatically generate and refine assistance layer templates, improving reliability through data-driven insights while maintaining high productivity
Solution Approach 2:
The system replaces the mechanical system of manual expert analysis with an automated computational system that uses statistical data processing and algorithmic generation to create assistance layers, achieving both high reliability through systematic analysis and high productivity through automation
3Adaptability or versatility
If customized assistance layers are created for each client, then the adaptability to specific digital tasks is improved, but the complexity of the generation process increases
Solution Approach 1:
The system applies local quality by allowing clients to customize specific portions of assistance layer templates according to their local needs and digital task requirements, while the overall template structure remains standardized and automatically generated, balancing adaptability with process simplicity
Solution Approach 2:
The system uses segmentation by dividing the assistance layer creation process into modular templates that can be independently selected and customized for different digital tasks, reducing the complexity of the overall generation process while maintaining high adaptability to specific client needs
Data Source
AI summary
A method, system and product comprising: obtaining, at a central processing unit associated with a digital adoption platform, assistance layers configured to be augmented over digital tasks, the digital tasks executable by end devices over client applications, the assistance layers configured to assist end users of the end devices with performing the digital tasks over the client applications; generating, based on the assistance layers, template assistance layers configured to assist clients of the digital adoption platform with generating new assistance layers, the new assistance layers are intended to assist the end users with performing the digital tasks; and adjusting an editor of the digital adoption platform to comprise the template assistance layers, thereby obtaining an adjusted editor; and distributing the adjusted editor to the clients.