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    Planning Poker

    Agile estimation technique where team members use cards to provide time/effort estimates for tasks anonymously before discussion. Combines individual expertise with team consensus to improve estimation accuracy and reduce anchoring bias.

    Analogous Estimation

    Top-down time estimation technique that leverages historical data from similar past projects to predict duration of new projects. Provides quick estimates based on expert judgment and comparable project experiences.

    Bottom-Up Estimation

    Project time estimation technique that breaks projects down into smaller, manageable tasks for detailed estimation, then aggregates them for an overall project timeline. Provides high accuracy through granular analysis and team involvement.

    Parametric Estimation

    Statistical time estimation technique that uses mathematical models and historical data to calculate project duration based on measurable parameters. Applies unit costs or durations to the quantity of work for accurate predictions.

    PERT Estimation (Program Evaluation and Review Technique)

    Project time estimation methodology that accounts for uncertainty by using three time estimates: optimistic, most likely, and pessimistic. Originally developed by the US Navy for complex project planning and critical path analysis.

    Agile Story Points & Velocity

    A relative estimation method in Agile that measures complexity, effort, and risk rather than time, using techniques like Planning Poker and tracking team velocity for predictable sprint planning.

    Three-Point Estimation (PERT)

    A time estimation technique using optimistic, most likely, and pessimistic scenarios to calculate expected task duration, providing more accurate estimates that account for uncertainty and risk.

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    All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
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