Contextual Collaboration Intelligence for Productivity Applications
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing productivity applications lack tools that facilitate collaboration among users and do not effectively recognize or address the impact of a user's work on others, hindering efficient workflow coordination and productivity improvements.
Innovation Solution
A system that analyzes user interactions with productivity applications to drive collaboration by providing intelligence mechanisms and telemetry, enabling file sharing notifications and tools optimized for group workflows, and suggesting contextually aware actions to enhance collaboration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If productivity applications provide specialized tools for viewing and manipulating files, then user productivity is improved, but collaboration capabilities remain insufficient
Solution Approach 1:
The patent extends the functionality of productivity applications by integrating both individual productivity tools and collaboration features into a single unified system. The server enables applications to perform multiple functions - both file manipulation for individual users and collaboration tools for multiple users, thereby resolving the contradiction between specialized productivity tools and collaboration capabilities.
Solution Approach 2:
The server acts as an intermediary component that bridges individual productivity applications and collaboration needs. It receives signals from productivity applications, analyzes user interactions, and provides collaboration tools and notifications, enabling the system to transition from isolated individual tools to interconnected collaborative ecosystem.
2Productivity
If existing systems do not recognize or acknowledge user impact on others, then system complexity remains low, but collaboration efficiency is hindered
Solution Approach 1:
The patent implements feedback mechanisms where the server analyzes user interactions with productivity applications and provides notifications to other users about the impact of file changes and workflow activities. This feedback loop enables users to understand how their work affects others, improving collaboration efficiency while the automated analysis process manages system complexity.
Solution Approach 2:
The system automatically analyzes user interactions and generates collaboration notifications without requiring manual intervention. The server self-service functionality includes automatically detecting file changes, identifying affected users, and sending appropriate notifications, thereby improving collaboration efficiency while containing complexity through automation.
3Productivity
If the system provides comprehensive analysis of user interactions, then collaboration quality is improved, but computational resources are consumed
Solution Approach 1:
The patent applies partial action by analyzing only the most relevant user interactions and signals that directly impact collaboration. The server selectively processes signals from productivity applications rather than analyzing all possible user activities, thereby improving collaboration quality through targeted analysis while reducing computational resource consumption compared to comprehensive analysis of all interactions.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The techniques disclosed herein enable a system to drive collaboration between users by analyzing user interactions with productivity applications. The system provides intelligence mechanisms that work in concert with telemetry mechanisms to create interactive experiences that encourage users to embrace technology, improve productivity, and increase collaboration. In some configurations, the system can drive collaboration between users by correlating signals that define user interactions with individual productivity applications with contextual data that indicates how time has been allocated. During, or upon completion of a group activity, the system can identify individuals of interest and enable a user to readily share relevant files with the identified individuals.