Email Distribution Cost Analysis and Confirmation System
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Solution Overview
Problem
Large-scale email communications, characterized by a high number of recipients or large attachments, often result in unnecessary network bandwidth usage and disruptions, as recipients may inadvertently receive unwanted messages, leading to wasted resources and decreased productivity.
Innovation Solution
Implementing a system that calculates a distribution cost for emails based on factors like size, number of recipients, and sender behavior, prompting senders with a graphical user interface to confirm large-scale email transmissions and optionally requiring approval from another user, and allowing inactive recipients to receive digests instead of full emails, with content stored for later access via links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If email distribution lists and reply-all options are used, then communication efficiency is improved, but network bandwidth consumption and recipient interruptions increase
Solution Approach 1:
The system calculates and displays a distribution cost metric to senders before they send emails, providing feedback on the potential impact of their message. This feedback mechanism encourages senders to reconsider large-scale distributions and use alternative communication methods when appropriate, thereby reducing unnecessary network bandwidth consumption while preserving communication efficiency for legitimate uses
Solution Approach 2:
The email server acts as an intermediary between senders and recipients by intercepting outgoing emails, calculating distribution costs, and potentially blocking or modifying emails with excessive distribution costs. This intermediary function reduces network bandwidth consumption by preventing unnecessary large-scale email distributions while allowing legitimate communications to proceed
2Ease of operation
If distribution cost warning messages are displayed to senders, then email sending mindfulness is improved, but system complexity increases
Solution Approach 1:
The system automatically calculates distribution costs using algorithms that consider email size, recipient count, and organizational policies without requiring manual intervention. The cost calculation and warning message generation are self-service functions that operate transparently in the background, improving sender mindfulness while minimizing the perceived system complexity for users
3Reliability
If approval from another user is required for large-scale emails, then email distribution control is improved, but communication speed decreases
Solution Approach 1:
The approval requirement is dynamic rather than static - it is applied selectively based on the calculated distribution cost and organizational policies. Emails with low distribution costs or from authorized senders bypass the approval process entirely, while only emails exceeding thresholds require approval. This dynamic approach maintains control where needed while preserving communication speed for routine matters
Data Source
AI summary
Techniques for reducing and discouraging sending large scale emails are described herein. According to one embodiment, in response to a first email received from a sender to be sent to a list of recipients, a distribution cost of the first email is determined based on content of the first email and the recipients. An email client application is to present a first graphical user interface (GUI) page to the sender prompting a confirmation from the sender, where the first GUI page includes information indicating a size of the first email and a number of recipients, if the distribution cost of the first email is above a first predetermined threshold. In response to a positive confirmation from the sender, the first email is sent to the intended recipient.