estimatedTime

Estimated time is the predicted duration required to complete a task, process, or delivery. It is used in planning and scheduling across domains such as project management, manufacturing, logistics, and software development. An estimate may be expressed as a duration (for example, 2 hours) or as a calendar date by which work is expected to finish. In software and data systems, fields such as estimatedTime are commonly used to store the predicted duration or completion timestamp for planning purposes.

Common estimation methods include expert judgment, analogous estimation based on similar past work, parametric estimation using unit-time data, bottom-up estimation by aggregating subtask estimates, and three-point estimation that combines optimistic, most likely, and pessimistic values. More formal techniques such as PERT (Program Evaluation and Review Technique) and Monte Carlo simulation are used when uncertainty is high.

Estimates are inherently uncertain and subject to change. They are often presented as ranges or probability distributions and are revised as new information becomes available. Accuracy depends on data quality, clarity of scope, assumptions, and resource stability.

Best practices include documenting assumptions, distinguishing between effort time and calendar time, applying buffers for risk, and maintaining historical data to improve future estimates. Regularly comparing estimates with actual outcomes helps refine methods and reduce bias. Proper estimation supports better planning, resource allocation, and stakeholder communication.