Targeted Auto-Response Messaging for Organizational Changes
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Solution Overview
Problem
Existing messaging systems fail to effectively communicate changes in a user's organizational position, leading to inefficient handling of messages related to their former group, resulting in unnecessary communication and resource consumption.
Innovation Solution
A targeted auto-response technique is implemented, which detects organizational changes and generates notifications before message composition, using an organizational directory to identify group affiliations and scoring messages to determine relevance to the user's former group, allowing for automatic responses to reduce unwanted messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional messaging tools are used without organizational change detection, then users can maintain communication with all former group members, but unnecessary messages are sent consuming computing resources and bandwidth
Solution Approach 1:
The system performs preliminary detection of organizational changes and proactively notifies senders before they compose messages. By detecting the organizational change event and sending notifications in advance, the system prevents senders from composing and sending unnecessary messages to former group members, thereby reducing computing resource usage and bandwidth consumption while maintaining message relevance.
Solution Approach 2:
The system implements a feedback mechanism where organizational change information is continuously monitored and fed back to the messaging system. When an organizational change is detected, the system updates the communication routing information and notifies relevant users, creating a closed-loop feedback system that dynamically adjusts message routing based on current organizational structure.
2Ease of operation
If manual responses are sent to each message indicating organizational change, then users can inform senders of their new position, but user productivity decreases and computing resources are consumed
Solution Approach 1:
The system implements self-service by automatically detecting organizational changes and generating notifications without requiring user intervention. The system autonomously monitors organizational directory changes, identifies affected communications, and sends notifications to relevant users, eliminating the need for manual responses while maintaining ease of operation.
Solution Approach 2:
The system introduces an intermediary automated notification service that mediates between organizational change events and users. Instead of users manually responding to each message, the intermediary system automatically detects changes and communicates them to senders, reducing user workload while maintaining effective notification.
3Object-generated harmful factors
If all messages are blocked from former groups, then unwanted messages are prevented, but relevant messages such as follow-up questions and farewell messages are also blocked
Solution Approach 1:
The system applies local quality by differentiating between types of messages from former groups. Instead of uniformly blocking all messages, the system selectively filters based on message characteristics, sender identity, and context. Relevant messages such as farewell messages or follow-up questions are allowed through while unwanted routine updates are blocked, providing flexible and adaptive message filtering.
4Loss of energy
If real-time notification is provided to senders before message composition, then unnecessary messages are prevented, but system complexity and processing requirements increase
Solution Approach 1:
The system extracts and separates the organizational change detection function from the messaging system. By using a dedicated organizational directory service that independently monitors and reports changes, the messaging system only needs to receive and act on change notifications, reducing its complexity while achieving real-time notification and preventing unnecessary message transmission.
Data Source
AI summary
The techniques disclosed herein improve existing communication systems by automatically generating auto-response notices when a message to a user is related to a group with which the user is no longer a member. For example, after changing groups within a company, the user may still receive numerous messages related to the former group. Messages intended for this user may then be identified as related to a group with which the user is no longer associated based on the identity of the sender, other recipients of the message, the contents of the message, and a message context. The system may present an auto-response notice to the sender while the message is being drafted and before it has been sent. The auto-response notice alerts the sender of the changed group affiliation of the user.