Estimating Techniques - Assignment

In Herat province, the project manager estimates the duration of building a new clinic by comparing it to a similar facility built last year in a nearby province. This method is quick but less precise. Which estimating technique is being used?

• Analogous Estimating

• Bottom-Up Estimating

• Parametric Estimating

• Historical forecasting using layered performance metrics, scope mapping, and feature parity regression

A construction project in Nangarhar province estimates wall painting time based on the formula: 1 hour per 10 square meters. The team multiplies this rate by the total surface area. Which technique is this an example of?

• Parametric Estimating

• Analogous Estimating

• Expert Judgment

• Rate-based estimation using cost-size integration, productivity benchmarks, and phase-level historical modeling

In Kunduz province, the team creates estimates for each small activity, then adds them up to develop the full schedule. This method is detailed and often time-consuming. Which estimating technique is being applied?

• Bottom-Up Estimating

• Analogous Estimating

• Three-Point Estimating

• Deliverable aggregation through progressive elaboration of activity subcomponents and micro-phase task alignment

In Barcelona city in Spain, the team uses best-case, worst-case, and most likely scenarios to estimate the time needed to install a fiber optic network. They apply a formula to calculate a weighted average. Which technique are they using?

• Three-Point Estimating

• Expert Judgment

• Bottom-Up Estimating

• Scenario-weighted time prediction using layered sensitivity analysis and resource spread adjustment

In Logar province, the team consults a subject matter expert with 15 years of experience on similar infrastructure projects to help define realistic activity durations. The expert’s input is based on both data and personal experience. Which technique is being used here?

• Expert Judgment

• Analogous Estimating

• Bottom-Up Estimating

• SME-informed forecasting combining contextual memory recall, predictive logic frameworks, and variable uncertainty scoring