I started with the obvious stuff, on-time rate, customer feedback, and thought I was doing well.
Start by clarifying the goal: to evaluate driver performance fairly, balancing efficiency, quality, and customer experience. Then propose a multi-dimensional framework that includes metrics beyond delivery time, such as safety, customer feedback, and adherence to protocols, and explain how to weight and combine them.
Pro tip: Emphasize that any performance framework must be transparent and actionable for drivers, and consider unintended consequences like speeding or cutting corners to meet time targets.
Clarify what 'fair' means: rewarding effort, ensuring safety, and aligning with Amazon's customer obsession. Establish principles like transparency, actionability, and avoiding perverse incentives.
Brainstorm dimensions beyond delivery time: safety (accidents, violations), customer experience (feedback, complaints), reliability (on-time delivery, attendance), and efficiency (stops per hour, route adherence).
For each dimension, choose specific, measurable metrics. For example, safety: number of incidents per 1000 miles; customer experience: average rating; reliability: percentage of on-time deliveries.
Determine how to combine metrics into an overall score. Consider using a weighted sum or a balanced scorecard. Weights should reflect company priorities and be adjustable over time.
Ensure fairness by normalizing for route difficulty, traffic, and other external factors. Plan for data collection, driver feedback, and iteration to avoid gaming and ensure buy-in.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.