Traffic Technicians
60% Human
Conduct field studies to determine traffic volume, speed, effectiveness of signals, adequacy of lighting, and other factors influencing traffic conditions, under direction of traffic engineer.
Score estimated from occupation data. Task-level analysis in progress.
0
stays yours
0
you + AI
0
off your plate
Under the hood, every task is classified by our deterministic engine (see the methodology) and aggregated as HCI = ((OWN × 1.00 + GUARD × 0.70 + AMPLIFY × 0.45) / total) × 100 — the same mix shown above as three plain piles. Estimated from Generalized Work Activity data and Felten AIOE scores. Occupation baselines fold sign-off tasks (AI-capable, human accountability required) into the “you + AI” pile; your personalised analysis separates them with a “you sign off” chip.
See your own week, mapped
This is the typical shape for Traffic Technicians. Your real week could look different — paste your job description and see it sorted, task by task.
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