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In this episode of the Fleet Success Show, host Tony Yankovich (Director of Fleet Consulting at RTA Fleet) is joined by Mark Canton (Head of Product and Consulting) and Kristi Emigher (Lead Fleet Analyst and Data Scientist) to lay out a foundational framework for measuring fleet performance. They begin by stressing why tracking performance matters – it enables continuous improvement, accountability, and data‑driven decision‑making, moving fleet managers from reliance on gut instinct to evidence‑based recommendations. The conversation then shifts to the essential first step: creating a concrete plan that defines clear objectives, identifies the data needed, and assigns responsibility. They warn against “metric overload” and advocate focusing on the “critical few,” with availability and cost highlighted as the capstone metrics that should drive all other KPIs. Availability is defined as the percentage of assets that are ready for use, while cost encompasses labor, parts, and overall fleet expense, both of which must be reasonable to achieve a “gold‑standard” fleet. Benchmarking is discussed as a tool for internal continuous improvement rather than an external comparison that can demotivate teams; realistic, incremental goals based on current baselines are recommended. Reporting cadence is emphasized – at minimum quarterly, with concise, visual reports shared with leadership, customers, and staff to keep everyone aligned. The hosts also touch on the role of technology (FMIS, telematics) and data analysts, noting that tools are enablers but not substitutes for a solid plan and skilled people. Finally, they explain how consistent, organization‑wide metric use reduces the need for external consultants by building internal confidence and transparency. Key takeaways: 1) Measure to improve; 2) Start with a clear, documented plan and objectives; 3) Focus on the critical few – primarily availability and cost; 4) Establish baselines and set realistic, internally‑driven benchmarks; 5) Report regularly and make metrics visible across the organization; 6) Leverage technology and data expertise, but keep people and process at the core.

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