Interactive Guidance Structure for Collaborative Ad-Hoc Workflows
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Solution Overview
Problem
Conventional management tools fail to efficiently manage ad-hoc people services within organizations, leading to inefficiencies and increased costs due to lack of standardization and repeatability, as different projects or groups often perform actions without coordination, resulting in redundant work and inefficient collaboration.
Innovation Solution
A services coordination system is introduced, providing a collaborative work environment with an information base, interactive guidance structure, and template-populated interfaces to standardize and repeat people services, leveraging prior experiences and knowledge for enhanced efficiency and coordination across multiple users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional management tools are used to manage ad-hoc people services, then flexibility and adaptability are maintained, but efficiency and standardization deteriorate
Solution Approach 1:
The system dynamically adapts to ad-hoc services by allowing flexible configuration of service definitions and workflows while maintaining standardized processes. The service definition mechanism enables dynamic creation and modification of service templates without disrupting ongoing operations, resolving the contradiction between flexibility and efficiency.
Solution Approach 2:
The system changes parameters by transforming unstructured ad-hoc service requests into standardized service definitions with defined parameters, workflows, and templates. This parameter transformation enables efficient management of previously unmanageable ad-hoc services while preserving their inherent flexibility.
2Ease of operation
If different projects or groups perform actions without coordination, then autonomy and independence are maintained, but redundancy and wasted resources increase
Solution Approach 1:
The system implements feedback mechanisms where service definitions, workflows, and templates are created from successful service deliveries and fed back into the system. This feedback loop enables coordinated reuse of proven approaches across different projects and groups, eliminating redundant work while preserving autonomous operation through template-based guidance.
Solution Approach 2:
The system creates universal service definitions and templates that can be applied across multiple projects and groups. These reusable artifacts enable coordinated action without micromanaging individual autonomy, as teams independently apply standardized templates to their specific contexts.
3Adaptability or versatility
If prior work is not leveraged, then each project starts fresh with full creativity, but labor costs and time consumption increase
Solution Approach 1:
The system performs preliminary action by capturing service definitions, workflows, and templates from successful service deliveries before they are needed again. This advance preparation enables rapid reuse of proven approaches, reducing time consumption while preserving creativity through adaptive application of templates to new contexts.
Solution Approach 2:
The system creates copies of successful service definitions, workflows, and templates that can be reused across multiple projects. These copies preserve the creative insights and best practices from prior work while eliminating the need to recreate them, significantly reducing time consumption.
4Reliability
If conventional management tools focus on hardcoded software processes, then process control is maintained, but support for ad-hoc activities deteriorates
Solution Approach 1:
The system transitions from static hardcoded processes to dynamic service definitions that can adapt to ad-hoc activities. Service definitions are created and modified based on actual service delivery needs, maintaining process control through structured definitions while enabling flexibility in handling varied ad-hoc requests.
Solution Approach 2:
The system changes from fixed process parameters to configurable service definition parameters. This allows the same framework to accommodate both standardized and ad-hoc activities by adjusting parameters such as service type, workflow steps, and template selection, maintaining reliability while improving adaptability.
Data Source
AI summary
A collaborative work environment is provided that supports collaboration among users for performance of a people service that is associated with ad-hoc activities. An information base is provided that includes information relating to responsibilities of the users and work items for the ad-hoc activities. An interactive guidance structure is presented in the collaborative environment to guide actions of the users with respect to the work items. Materials produced as a result of the actions to update the information base are collected.


