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A time tracking approach relying on employee self-reported estimates of time spent on projects, also known as rule-of-thumb estimation. It is the easiest and cheapest method but suffers from inaccuracy and lack of detailed records.

Cognitive principle stating that tasks always take longer than expected, even when accounting for Hofstadter's Law itself. Proposed by Douglas Hofstadter in 1979, this recursive law helps explain chronic underestimation in project planning.

Cognitive bias where people underestimate the time, costs, and risks of future actions while overestimating the benefits. Related to Hofstadter's Law and critical for accurate time estimation in project management.

Machine learning feature in planning tools like Trevor AI that automatically estimates task duration based on historical data and task characteristics, improving schedule accuracy and preventing chronic underestimation.

A time estimation guideline suggesting you should double or triple your initial estimate for complex projects to account for unforeseen delays, interruptions, and complications, directly addressing the planning fallacy and Hofstadter's Law.

A project planning technique where teams imagine a project has failed and work backwards to identify what could go wrong, helping combat the planning fallacy by surfacing potential obstacles and risks before they occur.

An agile methodology resource platform providing comprehensive guides on estimation and prioritization frameworks including RICE (Reach, Impact, Confidence, Effort). Offers educational content on agile practices, scaling methodologies, and time estimation techniques for development teams.

Project planning technique using historical data from similar past projects to estimate duration and resource needs, leveraging organizational knowledge for more accurate time predictions.

Statistical estimation technique using mathematical models and historical data to calculate project duration and costs based on measurable parameters like lines of code or square footage.

Time estimation approach that leverages the knowledge and experience of subject matter experts to predict task duration and resource requirements for projects.

Project estimation technique that uses statistical relationships between historical data and variables to calculate time and cost estimates based on measurable parameters.

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.

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 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.

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.