Employer test guides — who uses Aon cut-e–style aptitude tests, and what's in each battery

Aon (which acquired cut-e GmbH) supplies online aptitude testing to a large share of aviation hiring — air-navigation service providers, airlines and flight academies. The task families repeat across employers; the battery composition and timings differ. Each guide below sets out what converging evidence says a specific employer's battery contains, with an explicit evidence tier, what we simulate, and what we don't. Every practice item is procedurally generated from public task descriptions and mathematically verified — never sourced from a live test.

Pick your employer

The module encyclopedia — how each cut-e–style task family works

These are the task families our generators produce, with the fidelity label we give each one. "Matches published spec" means the mechanics follow the test publisher's own public description; "reconstructed" means we built it from converging third-party descriptions.

Deductive grid logic — scales lst / gapChallenge matches published spec

A grid where each symbol appears exactly once per row and column (a Latin square — no sudoku box rule), with hidden cells and one target cell marked ?. You deduce the target through forced placements. Published spec: unlimited items in about six minutes, instant feedback. Every item we generate is brute-force checked so exactly one answer is valid, and its deduction depth is capped to match the official worked example's difficulty class — the "two answers both look right" failure of knockoff practice questions is the specific thing we engineered away.

Inductive odd-one-out — scales ix matches published spec

Nine figures; eight share a rule (shape, count, fill, rotation or size), one breaks it. Published spec: 20 tasks in five minutes — about 15 seconds each. Our generator verifies that exactly one figure is a discoverable violator and that no rival "odd one out" exists on any other dimension.

Inductive grid-rule classification — cls-style reconstructed

Six example grids pre-sorted into two groups by a hidden rule; you deduce the rule and classify a new grid. Matches the format of the NAV CANADA-specific inductive example published by prep vendors. Our rule library is explicit, so we can verify that every rule consistent with the examples classifies the probe grid identically — no ambiguous items.

Spatial orientation — scales ndb family reconstructed

Two instruments: a gyro compass showing your heading, and a relative-bearing needle pointing at a beacon. The method is pure arithmetic — true bearing = heading + needle, and the "aircraft from beacon" reversal adds 180° — but doing it in seconds under penalty scoring is a trained skill. Our trainer includes optional instrument readouts as training wheels.

Concentration — scales e3+ style matches published spec

"Is this an E with exactly three dots?" — rapid yes/no decisions against lookalike glyphs (F, B, 3, 6, mirrored E) and wrong dot counts. Throughput and accuracy both count; with −1 scoring per error, a steady 95% beats a frantic 80%, and our diagnostics split your errors into false-YES vs false-NO so you know which trap catches you.

Monitoring — scales cmo style reconstructed

A scatter of dots; count the white ones among grey decoys, fast. Reported in NATS and Ryanair batteries at two to three minutes. The trainable skill is cluster-counting (groups of two-three in one sweep) rather than one-by-one counting.

Comparison — scales rt style reconstructed

Two small patterns side by side: identical or different? Differences are always exactly one cell. A fixed cell-by-cell scan order, answering the moment a mismatch appears, is the whole method.

Sense of direction — vehicle turns reconstructed

A vehicle seen from above makes a sequence of turns (including 45° half-turns); you give its final compass facing. Reported in flight-academy batteries. Track degrees, not compass points — the half-turns are the trap.