Starting a New Reliability Team
Abstract
Chris and Fred discusshow to set up a new reliability team—and why structure matters far less than culture. They explain how to focus on decisions, not tools, and how to deliver quick wins that actually improve outcomes.
Key Points
In this episode, Chris and Fred respond to a listener question about how to build a reliability team from scratch. While it’s tempting to focus on org charts, reporting lines, and toolsets, the conversation quickly shifts to what actually matters—culture, decision-making, and impact. The discussion highlights why many reliability teams fail before they even start, and how to avoid becoming a “checkbox function” that adds little value. If you’re trying to introduce or strengthen reliability in your organization, this episode helps you focus on what moves the needle.
Topics include:
- Where the reliability team sits matters less than how it behaves. Whether under quality or engineering, success depends on how effectively the team influences design decisions and adds value—not its position on an org chart.
- Creating a team doesn’t fix a reliability problem. Many organizations hire reliability engineers but change nothing else. Reliability is driven by decisions across the entire organization—not isolated specialists.
- Start with decisions, not tools. Instead of jumping into FMEAs, testing, or Weibull analysis, first identify the decisions your organization needs to make—and what information is required to support them.
- Quick wins come from leveraging what already exists. Small changes to existing processes, early testing, or simple data analysis can deliver measurable improvements quickly and build momentum.
- Good data analysis can expose the wrong problem entirely. Simple approaches—like breaking failure data down by subsystem—can quickly reveal where failures actually come from, avoiding years of wasted effort.
Enjoy an episode of Speaking of Reliability. Where you can join friends as they discuss reliability topics. Join us as we discuss topics ranging from design for reliability techniques to field data analysis approaches.
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