KPI and Performance

Practical Service KPIs that turn performance data into decisions

This hub is for service leaders and operations teams in manufacturing and automotive organizations who track KPIs but need clearer insight into what actually improves service performance. It covers the most critical service metrics, how they’re defined, where they’re often misinterpreted, and how to apply them to decisions around capacity planning, cost control, customer outcomes, and growth. The perspective here comes from hands-on work with global after-sales and field service teams, where KPIs are used under real operational constraints to improve execution and uncover value.

Core KPI Insights

Uptime as the key service KPI that matters to customers, highlighting whether equipment is running when needed rather than internal metrics like response time or first-time fix rate

Why Uptime Is the KPI That Really Matters in Service

Most manufacturers still focus on KPIs like mean time to repair (MTTR), first-time fix rates (FTF), or service response times. While these are useful, they miss the bigger picture: what customers actually care about is whether their assets are running. Uptime, not internal efficiency, is the metric that defines value.

« Previous 1 2 3

Featured Articles

Handpicked insights on the biggest shifts shaping after-sales and field service

Why service revenue remains untapped in manufacturing and after-sales, highlighting execution gaps such as organizational misalignment, fragmented systems, weak data foundations, and AI pilots that fail to scale.

Why Service Revenue Remains Untapped (Even When Everyone Has a Strategy)

Service revenue remains one of manufacturing’s biggest untapped opportunities. Many leaders have the strategy, but execution falters due to data gaps, weak change management, and unclear ownership. This article explores why most initiatives stall, what…

AI use cases improving after-sales operations through faster diagnostics, accurate service workflows, optimized parts management, and better customer support.

How AI Can (Actually) Help After-Sales Service – Beyond the Hype

Discover how AI is revolutionizing after-sales in industrial manufacturing – from complaint triage and technician scheduling to predictive maintenance and customer companion bots. This in-depth guide explores business challenges, real-world use cases, and measurable KPIs,…

Diagram of a field service KPI framework showing technician performance metrics, dispatcher and planner KPIs, service manager dashboards, and AI-driven predictive KPIs across customer, operational, and strategic dimensions.

The Field Service KPI Dashboard: What Executives, Managers & Technicians Should Really Track

A complete guide to field service KPIs by role, from executives to technicians. Learn which metrics drive profitability, efficiency, and customer experience. Based on the SmartServiceOps Field Service KPI Framework, this article helps service leaders…