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Three-point effort estimates (PERT)

A PERT estimate per task (expected, margin, low, high) and a rolled-up total, from your optimistic/most-likely/pessimistic inputs.

You receive: A reviewed three-point estimate calculator + the passing test report, run on your tasks.

Part of Ship MVP

Example

A sample of what this play produces. Your result is generated for your inputs.

12Total estimate

Items

EstimateMarginLowHigh
5.51.24.36.7
4.313.35.3
2.20.51.72.7
Inputs
Items
TaskAMB
Stripe checkout integration3510
Judge worker deploy to Vercel248
Auth hardening for paid runs124
Unit
days
Rounding
1

PERT worked example on three tasks from STUD's paid-fulfillment build (Stripe checkout integration, judge worker deploy, auth hardening for paid runs), estimated in days; the day figures are illustrative. Each estimate is (optimistic + 4 x most-likely + pessimistic) / 6 and each margin is (pessimistic - optimistic) / 6, both rounded to 1 decimal; low and high are the rounded estimate minus and plus the rounded margin. Check: task 1 gives (3 + 20 + 10) / 6 = 5.5 with margin 7 / 6 = 1.2 (range 4.3 to 6.7), task 2 gives 26 / 6 = 4.3 with margin 1.0 (range 3.3 to 5.3), task 3 gives 13 / 6 = 2.2 with margin 0.5 (range 1.7 to 2.7), and the rolled-up total is 5.5 + 4.3 + 2.2 = 12.0 days. Arithmetic recomputed against the tasks.py compute_three_point_estimate reference oracle, 2026-08-08.

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