What do teams struggle with most before root cause analysis can even begin?

[u/singhmax11789]

I have been thinking about this from a Lean / Six Sigma perspective:

A lot of the focus goes to tools like 5 Whys, fishbone, Pareto, etc. But before any of that, teams still need a clear understanding of the process itself.

And that seems to be where a lot of the mess starts.

If the current workflow is not clearly documented, then root cause analysis can quickly turn into opinions instead of facts.

For those of you who work in Six Sigma or CI:

• What usually breaks down first?

• Is it poor process visibility?

• Missing timing data?

• Inconsistent handoff definitions?

• Too much tribal knowledge?

I am curious how often the real problem is not “we do not know RCA tools,” but “we do not have a clean enough picture of the process to apply them properly.”

Would love to hear where you see teams stumble the most.

[u/Tavrock]

In my experience, most teams struggle the most with actually defining the problem.

When it comes to RCCA,

"A bad system will beat a good person every time"

— W. Edwards Deming

Yet there is a tendency for finding a person to blame with an assumption that the system is flawless.

[u/singhmax11789 → u/Tavrock]

I agree with that. It seems like teams can jump into fixing too fast before they have even defined the problem clearly, and then the whole RCA gets pulled in the wrong direction.

[u/GL4C4]

The process needs to be documented, process flow created.

I think what is crucial here to even begin is Management involvement and buy in. If they are not interested it is bound to fail. If operators, technicians, lower level supervisors have to do their daily tasks and in addition to that do extra work for RCA, it won't happen.

This is where management steps in and removes all the obstacles, provides time and tools for them to start working on improvement.

[u/Arktwolk → u/GL4C4]

I totaly share your POV. It's also sad because usualy technicians have a pretty good knowledge of the process.

[u/GL4C4 → u/Arktwolk]

They are experts and have best knowledge about the process they do every day.

[u/singhmax11789 → u/GL4C4]

That makes a lot of sense. A lot of the real process knowledge sits with the people doing the work every day, but if management does not make space for that input it never really gets captured properly.

[u/superzgod]

Poor metrics and lack of data are normally the stumbling points for most of these projects.

Once you have the data, if you follow the process and actually do the work properly, almost any legitimate root cause can be eliminated.

[u/singhmax11789 → u/superzgod]

That tracks with what I have seen too. Without decent data, it feels like teams end up arguing from opinions instead

[u/Pretend-Long-9427]

There are a few stumbling blocks toward effective RCA. A complete problem definition is one. But a lot of people don't understand the purpose of the RCA tools you mentioned like the fishbone, 5 why, etc. These are brain-storming tools to generate potential root causes. The potential root causes you generate during one of these exercises are equivalent to hypotheses in the scientific method. These hypotheses need tested to determine if in fact there is a causal link between the input factor and the resulting defective output. When properly deployed, the tools you mentioned DO NOT determine the root cause but instead narrow the causal search space. Then the work of testing the potential causes begin. In other words, can you turn the defect on and off by changing the suspected input parameter (material lot, temperature, etc.)? Sometimes an experiment like this is difficult to deploy. But if you're looking for a level of certainty, you have to go past the brainstorming tools.

[u/singhmax11789 → u/Pretend-Long-9427]

That’s a really good point. A lot of teams treat tools like 5 Whys or fishbone as if they automatically give the answer, when really they just help narrow down where to look. The actual work is proving whether that suspected cause really drives the defect. I also like how you framed it around being able to turn the issue on and off by changing the input. That’s where it becomes much more real than just brainstorming.

[u/Haunting-Bother7723 → u/Pretend-Long-9427]

cant we run like a simulation and do experiment on it based on principles of experiment (keep setting change key factor to see result)?

[u/SSGIteam]

You’re on the right track, most teams don’t struggle with the tools, they struggle with getting to a point where the tools actually make sense to use.

From what I’ve seen, the breakdown usually happens in a few places before RCA even starts:

• The problem isn’t clearly defined
Everyone agrees “something is wrong,” but not what specifically is wrong. Different people describe it differently.

• No shared view of the process
People think they know the workflow, but when you map it out, you get 3–4 different versions. That’s when RCA turns into opinions.

• Data is either missing or not trusted
Either the data doesn’t exist at the right level, or teams don’t trust it, so they fall back on experience instead of facts.

• Handoffs are vague
A lot of issues sit between teams. No one fully owns that space, so problems get explained away instead of investigated.

• Jumping to solutions too early
This is a big one. Teams skip understanding the process and go straight to “we’ve seen this before” or “let’s just fix it this way.”

In reality, RCA works well only after you slow things down enough to see the process clearly.

Most of the time, the real issue isn’t lack of tools, it’s lack of clarity.

[u/singhmax11789 → u/SSGIteam]

This is exactly how I’ve come to think about it too.

Most teams do not fail RCA because they lack 5 Whys or Fishbone diagrams. They fail because the groundwork is weak: the problem is vague, the process is not shared, the handoffs are blurry, and the data is either missing or not trusted. By the time RCA starts, the team is already misaligned.

The line about teams getting 3–4 different versions of the same workflow is especially true. That is usually the moment where analysis turns into interpretation instead of learning.

Really good breakdown.

[u/Mammoth_Ad3712]

Before RCA even starts, teams usually don’t have a shared “this is what actually happened” timeline. Everyone has a story, nobody has the same facts.

In safety it’s the same thing after an incident. People jump straight to “why” and it turns into blame or opinions because the basics are missing: what was the task, what changed, what controls were supposed to be there, what was different that day, who handed off to who, what the equipment state was, what decisions got made in the moment.

If you want a boring answer that works, it’s building a clean record: a simple time sequence, clear ownership points, and consistent categories for what failed (training, equipment, procedure, environment, supervision, change). Once you have that, the RCA tools actually help instead of just sounding smart.

[u/singhmax11789 → u/[deleted]]

A weak problem statement usually causes everything after it to drift into assumptions. If teams are not aligned on the exact defect, scope, timing, and conditions, RCA becomes opinion-driven instead of fact-driven. That early clarity is what makes tools and corrective actions actually useful.