PERT is an estimation method that converts three scenarios into one weighted estimate.
What is PERT?
PERT stands for Program Evaluation and Review Technique. In software estimation, it uses optimistic, most likely, and pessimistic values to calculate an expected effort level that reflects uncertainty more realistically than a single guess.
The basic idea
PERT gives extra weight to the most likely scenario, so the result is less extreme than the pessimistic case but safer than a naive average.
Why PERT matters
- It turns uncertainty into a structured calculation.
- It helps teams justify buffers more clearly.
- It improves planning for risky integrations or unclear work.
- It can support fixed-price risk assessment.
Example
If a task could take 12 hours in the best case, 20 hours most likely, and 40 hours in the worst case, the team can calculate a weighted expected estimate instead of picking one raw number.
How Apropo supports PERT-like estimation workflows
Apropo does not expose a dedicated PERT-branded calculator in the confirmed frontend, but it does support range-based estimating workflows that are closely related to PERT-style planning.
- Estimate formats can move beyond one fixed value when the team needs to express uncertainty more explicitly.
- Summary views can expose minimum, average, and maximum perspectives across the estimate.
- Buffers help teams incorporate risk handling directly into the estimating workflow.
- Timeline views help connect estimate uncertainty to schedule expectations instead of keeping it as an isolated number.
How Apropo helps refine a PERT-like estimate
Range-based planning becomes more useful when teams can compare variants, communicate assumptions, and revisit the estimate later.
- Versioned estimate work helps compare different range assumptions without losing earlier scenarios.
- Share links and export flows make it easier to explain a range-oriented estimate to stakeholders.
- Rate settings help connect estimate ranges to commercial outcomes.
- Budget tracking can later show how planned ranges compare with execution reality.