TestingBudget

Build

Build effort

The total person-hours to stand the suite up: set-up, training, scoping, authoring every case, and validating it.

Unit
hours, one-time
Where you enter it
Computed; shown on the Build tab.

What it means

The sum of every one-time human activity in the Build phase: set-up and configuration, training multiplied by people, scoping, the case counts multiplied by their tier build times, and validation of each built case. It is an output — you never type it — and it is per vendor.

Divided by the FTE capacity in Settings it also gives the build duration in weeks, which is checked against the release cadence to flag a plan that cannot land in time.

Why it matters to the cost

Build effort is the year-one spike on every chart and the reason a tool with higher licence fees can still win over five years: a lower build effort is paid back every year by not having been spent. It is also the figure to sanity-check against your team: 1,200 hours is seven months of one person.

Typical values

For a 300-case suite: roughly 100–150 hours for AI-native tools, 300–700 for codeless enterprise and script-based tools, over 1,200 for a homegrown framework.

Typical values describe a category of tool — AI-native, codeless, script-based, homegrown, manual — never a named product. Why we do not price named products.

Where it appears in the model

Build duration is a workspace-level question

FTE capacity
FTEs in budget × productive hours per FTE per year ÷ 52
Build duration
Σ Build effort across all applications ÷ FTE capacity

Every name is a link to its definition. See the whole model.

Try it with your numbers

Build effort is a row in the calculator. Change it and every total on the page moves with it — free, in your browser, nothing to install.

See how build effort impacts the calculation of test automation costs

Last reviewed 2026-09-15. All terms.