Message Responsiveness Feedback System
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Solution Overview
Problem
Hasty or poorly generated responses in electronic messaging can lead to misunderstandings, misinterpretations, and increased message processing loads, reducing communication efficiency and increasing the number of messages handled by messaging systems.
Innovation Solution
A computing system generates an input based on a plurality of messages, using natural language processing models to determine the relevance and completeness of responses, providing feedback to adjust the responsiveness of the message before transmission, and integrating this feedback into the message composition interface to highlight unanswered questions or irrelevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If users send messages quickly without review, then communication speed is improved, but message accuracy and completeness deteriorate
Solution Approach 1:
The system performs preliminary analysis of the draft message and its responsiveness to the received message before the user sends it. The computing system evaluates whether the draft message adequately responds to the received message's questions and information needs, providing feedback to the user before transmission occurs.
Solution Approach 2:
The system provides feedback to the user about the responsiveness of their draft message. The computing system analyzes the draft message content and communicates back to the user whether the message is responsive or non-responsive, enabling the user to adjust their message before sending.
2Reliability
If users send complete and accurate messages, then communication quality is improved, but the number of message exchanges increases
Solution Approach 1:
The system performs preliminary evaluation of message responsiveness before transmission, ensuring that messages are complete and accurate regarding the received message's information needs. This prevents the need for follow-up clarification messages.
Solution Approach 2:
The system provides feedback to users about whether their draft message adequately addresses the received message, helping users send complete responses in a single exchange rather than requiring multiple back-and-forth messages.
3Loss of information
If messaging systems process more messages to clarify misunderstandings, then communication completeness is improved, but system resource consumption increases
Solution Approach 1:
The system takes preliminary action to prevent misunderstandings by evaluating message responsiveness before transmission. By analyzing whether the draft message adequately responds to the received message's questions and information needs, the system prevents the generation of incomplete messages that would require additional processing and clarification exchanges.
Solution Approach 2:
The computing system performs preliminary analysis of message pairs to identify potential communication gaps before the messages are transmitted and processed by the messaging system, reducing the need for additional resource-intensive clarification processing.
Data Source
AI summary
Methods and systems for message response processing are described herein. A computing system may generate an input based on a plurality of messages, the input including content of the plurality and a prompt for an outcome, the plurality of messages including a received message and another message yet to be sent, and the outcome indicative of a level of responsiveness of the another message to the received message. The computing platform may determine the outcome responsive to the prompt based on the content of the plurality of messages included in the input. The computing platform may provide the outcome to a computing device before transmission of the another message, the outcome to enable modification the another message to adjust responsiveness of the another relative to the received message.