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Priority Matrix is a time management software application based on the Eisenhower Method of arranging tasks by urgency and importance in a 2x2 matrix. The application is also loosely based on David Allen 's Getting Things Done methodology of improving productivity.
The most annoying, distracting, or interesting task is chosen, and defined as an "incomplete". [e] A description of the successful outcome of the "incomplete" is written down in one sentence, along with the criteria by which the task will be considered completed. [f] The next step required to approach completion of the task is written down. [g]
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The MoSCoW method is a prioritization technique used in management, business analysis, project management, and software development to reach a common understanding with stakeholders on the importance they place on the delivery of each requirement; it is also known as MoSCoW prioritization or MoSCoW analysis.
To prioritize a daily task list, one either records the tasks in the order of highest priority, or assigns them a number after they are listed ("1" for highest priority, "2" for second highest priority, etc.) which indicates in which order to execute the tasks. The latter method is generally faster, allowing the tasks to be recorded more quickly.
Earliest deadline first (EDF) or least time to go is a dynamic priority scheduling algorithm used in real-time operating systems to place processes in a priority queue. Whenever a scheduling event occurs (task finishes, new task released, etc.) the queue will be searched for the process closest to its deadline.
A "spreadsheet program" is designed to perform general computation tasks using spatial relationships rather than time as the primary organizing principle. It is often convenient to think of a spreadsheet as a mathematical graph , where the nodes are spreadsheet cells, and the edges are references to other cells specified in formulas.
Some tasks can be done concurrently (A and B) while others cannot be done until their predecessor task is complete (C cannot begin until A is complete). Additionally, each task has three time estimates: the optimistic time estimate (o), the most likely or normal time estimate (m), and the pessimistic time estimate (p).
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