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Case Study

Bird Electric

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How Array delivered the highest-producing teams in a fast-scaling, tech-enabled operations environment.

As micro-mobility platforms expanded nationally, operational execution in the physical world—maintenance, charging, staging, and fleet logistics—became the critical constraint. Bird required frontline teams capable of delivering measurable output in fast-moving, high-visibility markets.

Array partnered with local and regional leadership to build performance-driven teams that consistently exceeded production targets and enabled geographic expansion.

+108%

Mechanic Tasks per Hour

+310%

Driver Tasks per Hour

+Scale

Across Multiple Markets

Customer + Engagement Overview

Bird operate in dynamic, city-based micro-mobility environments where uptime, maintenance speed, and operational reliability directly impact revenue and brand perception. As these platforms expanded into new markets, they required workforce partners capable of delivering measurable output in real-world (“meatspace”) operations.

Customer:

Bird

Industry:

Micro-Mobility & Transportation

Customer Sponsor:

Regional Operations Leadership

Engagement Type:

Performance-aligned workforce delivery

Geography:

Multi-city (DC, Denver, Seattle, Ft. Collins, Albuquerque, Austin)

SCOPE:

Mechanics, drivers, warehouse & fleet operations

The Operational Challenge

Micro-mobility operations demand speed and precision. Vehicles must be collected, repaired, charged, staged, and redeployed daily—often under unpredictable demand patterns. Inconsistent task throughput directly impacts fleet availability and revenue.

Bird required teams that could outperform national production benchmarks while maintaining operational flexibility across multiple cities.

Constraints

  • High variability in daily fleet demand
  • Strict uptime and turnaround expectations
  • Competitive urban labor markets
  • Need for scalable, repeatable performance across cities

How Array Solved It

Aligning frontline output to measurable task performance.

Array did not alter fleet strategy or redesign operations. Instead, the engagement focused on identifying high-output talent, aligning daily performance expectations, and coordinating execution to ensure consistent task completion across markets.

This engagement centered on two performance levers: Identify and Amplify.

Identifying Measurably Higher-Output Talent

Array selected mechanics, drivers, and warehouse associates based on demonstrated ability to sustain higher task throughput. Talent was screened for pace, reliability, and responsiveness—critical in time-sensitive urban operations.

What Changed

  • Higher average tasks per hour
  • Reduced underperformance variance
  • Stronger production consistency by shift

Amplifying Output Through Performance Alignment

Array aligned daily performance management around clear task-based metrics—making productivity visible and reinforcing expectations across teams. High performers were recognized and deployed effectively, creating measurable output gains.

What Changed

  • Clear task-level performance visibility
  • Higher sustained productivity per worker
  • Reduced variability in fleet turnaround times

Results Delivered

Measured productivity gains that unlocked scale.

Productivity INCREASE:

2.0 → 8.2 driver tasks per hour (~310%+ increase)

PRODUCTIVITY INCREASE:

1.2 → 2.5 mechanics tasks per hour (~108%+ increase)

NATIONAL BENCHMARK:

Highest producing operation within network

What This Proves

In fast-moving, tech-enabled physical operations, execution is the constraint—not demand. By identifying higher-output talent and aligning performance expectations to measurable tasks, Bird unlocked dramatic productivity gains without redesigning their operational models.

The result was not just higher task throughput—but a repeatable delivery model capable of expanding into new markets.

Task-level measurement drives output

High-output talent compounds quickly

Performance visibility enables scalable growth

What Would Happen If Your Teams Outperformed National Benchmarks?

Array helps operators identify and amplify measurable frontline performance—so physical execution keeps pace with digital growth.