I've just shipped the Task Load Balancer, a Python script designed to help manage uneven workloads.
The script takes a CSV file as input. This file should list your tasks, their respective due dates, an estimate of the effort required for each task (in hours), and a priority level. Once loaded, you can configure a daily work-hour limit.
The core function of the script is to identify any day where the sum of estimated task effort exceeds this set limit. When an overloaded day is found, the script begins to redistribute tasks. It prioritizes keeping higher-priority tasks on their original day. Lower-priority tasks are moved to subsequent days until the daily limit is met or all tasks are distributed.
This tool is intended for anyone who plans their work in a spreadsheet and wants to proactively identify and mitigate potential workload spikes. It automates a portion of the scheduling adjustment process, aiming to provide a more balanced daily task distribution.
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