How do job complexity, estimator confidence, review depth and review scope change likely review effort and the amount of risk worth human attention?
An operator can manipulate assumptions, see deterministic outputs and compare scenarios without asking a model to redraw or recalculate the interface.
How to drive this: move the sliders or pick an option on the left; every readout on the right recomputes from the formulas in the inspector. Tab reaches every control.
Intake to human adjudication review flow
lanes: Automated / Human- AutomatedIntake
Package arrives with the estimator's confidence attached.
- AutomatedAutomated checks
The desk scans the selected scope at the chosen depth.
- AutomatedExceptions
Risk the model surfaces for a person to look at.
- HumanHuman adjudication
Items an estimator must decide on.
Likely review time
Risk surfaced
Human focus items
Compare scenario outputs
0 pinnedPin up to four scenarios. Every row is recomputed by the same formulas as the live outputs.
| Scenario | complexity | estimator confidence | review depth | scope | review minutes | risk surface | human focus |
|---|
Illustrative assumptions
Every number on this page is computed from the four assumptions above with the formulas shown in the inspector. It is an illustrative model, not production Review Desk telemetry.
Inspect state and formulas (every number on the page comes from these)
| derived | formula | now |
|---|---|---|
scope_multiplier | pick({"plans": 1, "plans-specs": 1.4, "full-bid-package": 1.9}, scope, 1) | |
review_minutes | round(8 + complexity * 0.35 * scope_multiplier * (review_depth / 100)) | |
risk_surface | round(clamp(complexity * (1 - estimator_confidence / 100) * 1.6 * scope_multiplier * (review_depth / 100), 0, 100)) | |
human_focus | max(1, round(risk_surface / 9)) |