A supervisor feels one line is the biggest problem. A manager believes a certain machine is the bottleneck. A recurring complaint gets attention because it's familiar — not because it's actually the most costly issue. Sound familiar?

This is how most plants decide where to focus. And it's a weak system.

The problem with managing by gut feel

Instinct has real value. People on the floor often sense where problems are developing before the data shows it. But intuition alone gets pulled toward the most visible problem, the most recent frustration, or the issue that came up loudest in this morning's meeting — not necessarily the one costing the most.

The result: teams spend significant time reacting to the wrong things. Chronic downtime, repeated minor stops, changeover losses, and quality drift continue quietly in the background while more conspicuous but less costly problems absorb attention. Without reliable data, it's easy to confuse noise with priority.

Data lets you ask better questions

When you have consistent operational data, the conversation shifts from "what feels like the biggest issue?" to:

  • Where are we losing the most production time?
  • Which problems happen most often?
  • Which issues are generating the most scrap or rework?
  • Which lines, shifts, or products are driving the biggest losses?

Those are better questions. More importantly, they produce better answers — ones your team can actually act on without second-guessing each other.

The data collection barrier is lower than it used to be

There used to be a real argument for relying on instinct. Collecting production and quality data was difficult, expensive, and slow to report on. That argument is a lot weaker now.

The challenge today isn't whether data can be collected — it's whether it's being collected consistently, structured properly, and turned into something people can use during the shift. More data alone doesn't help. The goal is a reliable system: standardised inputs, clearly defined categories, consistent capture across shifts and lines, and reporting that's fast enough to act on.

When that foundation is in place, teams stop arguing over opinions and start working from the same facts.

Your competitors aren't waiting

Plants that consistently collect and use operational data identify losses faster, allocate resources more effectively, and improve with less guesswork. That compounds over time. The gap between a data-driven operation and one running on gut feel grows wider every year.

That doesn't mean experience stops mattering. It means experience should be backed by evidence. The strongest operations don't choose between instinct and data — they use data to sharpen judgment.

How 10in6 helps

10in6 gives manufacturers a consistent way to collect, structure, and report plant data — so resource decisions can be made from facts instead of assumptions. Better visibility into where time is being lost means effort gets aimed at the problems that actually matter.

Intuition is useful. It just shouldn't be running your plant on its own.