Root Cause Analysis Explained: Find and Fix Underlying Issues

Key takeaways

• Root cause analysis (RCA) helps teams uncover the root causes of recurring problems so they can fix them long-term.

• A strong RCA process relies on evidence, structured thinking, and team input—not assumptions or blame.

• When done well, RCA improves efficiency, reduces repeat incidents, and strengthens decision-making across teams.

• Techniques like Fishbone diagrams and fault tree analysis help teams organize complex causes and identify patterns.

• Confluence whiteboards can help teams document findings, collaborate in one workspace, and track corrective actions over time.

Sooner or later, most professional teams find themselves dealing with problems that keep resurfacing. For example, delivery delays trigger customer escalations, a system issue disrupts work repeatedly, or a milestone slips for the third time, even after the team “fixed” it last time.

In situations like these, the visible problem is often a symptom of a deeper issue upstream. Root cause analysis (RCA) gives teams a reliable way to dig deeper, identify what’s truly triggering an issue, and put solutions in place that hold up over time.

In this article, you’ll learn what root cause analysis is, when to use it, and the exact steps for conducting one. You’ll also find practical tips, a real-world example, and common RCA techniques your team can apply right away.

What is a root cause analysis?

Root cause analysis is a structured method for identifying the underlying cause of a problem that’s disrupting your work. Instead of focusing on the immediate issue, RCA helps you trace the chain of cause and effect until you find where the problem started.

The purpose is simple: solve problems so they don't happen again.

To do that, it helps to separate symptoms from causes. Symptoms are what you notice first: missed deadlines, defects, rework, customer complaints, and system downtime. They’re real, but they’re not always the reason the problem exists.

The root cause is the deeper condition that gave rise to the symptom. It could be a missing process, unclear ownership, inconsistent training, weak handoffs, poor tooling, or an earlier decision that created downstream impact. It makes much more sense to fix a problem at its source, rather than repeatedly patching it.

Why root cause analysis matters

When teams only treat symptoms, the issue may appear resolved—work moves forward, everyone gets back on schedule, and often feels productive in the moment. But if the underlying cause remains, the same failure tends to recur. The next time it could be when the stakes are higher, so eliminating the root cause reduces risk.

RCA also improves operational efficiency. It helps teams avoid wasting time on repeated escalations, duplicate work, or recurring “urgent” fixes that pull people away from planned priorities. Over time, having fewer disruptions lead to more predictable execution and stronger project outcomes.

For teams responsible for risk management, RCA adds clarity to how risks actually form and spread. It can strengthen your ability to assess impact, reduce preventable incidents, and make improvements that are grounded in real evidence. It also supports more accurate updates to your risk register because you’re capturing the true drivers behind issues—not just the outcomes.

And RCA aligns teams focused on project collaboration and team collaboration. When people understand the full story of what happened and why, it becomes easier to coordinate next steps and agree on ownership. Teams are free to move forward without getting bogged down in lingering confusion.

When should you use a root cause analysis?

Root cause analysis is most useful when a problem is meaningful enough that solving it well will save time, reduce risk, or protect outcomes.

A good RCA candidate problem usually has one or more of these traits:

• It keeps happening. The same issue returns in slightly different forms, even after the team “fixed it” before.

• It has a high impact. It affects customers, revenue, compliance, delivery timelines, safety, or major internal operations.

• It creates downstream problems. One issue triggers other issues, creating a ripple effect across teams, tools, and workflows.

• It reveals a weak point in your process. Something breaks that should have been predictable or preventable.

You can also use RCA proactively. If a team sees a near miss or a pattern of potential inefficiency emerging, RCA can help you intervene early before it becomes a larger incident. This is especially valuable for risk identification teams that want to spot weaknesses before they turn into measurable damage.

How to conduct a root cause analysis in 6 steps

A strong RCA relies on a repeatable process using tools like whiteboards, templates, and diagramming frameworks. This helps teams move from “what happened” to “what should we change” in a consistent, organized way.

As you work through each step, it helps to document your thinking in one place so decisions don’t get lost. Confluence whiteboards can support this by providing teams with a shared space to map causes, capture evidence, and keep analysis connected to follow-up actions in a centralized workspace.

Step 1. Define the problem clearly

Start with a problem statement that’s specific and observable.

A clear problem definition describes what happened, where it happened, and the measurable impact. It avoids vague wording like “the process failed” or “we had a delay,” because those phrases can mean different things to different people.

Try to capture what you know as fact. For example: “Customer onboarding tasks were completed an average of four days late across the last three cycles.” That is more useful than saying “onboarding is slow.”

This step matters because if the problem is unclear, the rest of the analysis will drift off course. Different team members may launch into solving different problems without realizing it, or the whole team may inadvertently work on the wrong problem.

Step 2. Gather data and evidence

Next, gather information to understand the full situation.

Look for timelines, records, system logs, support tickets, project documentation, handoff notes, and previous incident history. If the problem involves people and processes, interviews can be just as important as written documentation.

You don’t need a perfect, precise dataset—all you need is enough evidence that your analysis is grounded in reality rather than guesswork.

The information will help you identify whether there was a change shortly before a problem started recurring. Many problems occur after shifts in workload, staffing, tooling, processes, or requirements. Capturing those changes early can save time later.

Step 3. Identify possible causes

Once you understand what happened, gather your team to generate possible causes.

This is where brainstorming becomes valuable. A good brainstorming session creates space for people to contribute what they've seen, what they suspect, and the patterns they’ve noticed over time.

At this stage, you’re not trying to be right. You’re just trying to be thorough.

Confluence whiteboards are useful here because they let teams map ideas visually and in real-time. That makes it easier to capture input from different departments or roles and keep the conversation organized, even when the causes are complex.

To keep the analysis manageable, categorize the possible causes. Fishbone diagrams work well for this because they help teams group causes into buckets such as process, people, tools, environment, and policies. Categorizing helps prevent the conversation from jumping randomly from one unrelated idea to another.

Step 4. Identify the root cause

Now you move from “possible causes” to “most likely underlying cause.”

This step requires careful reasoning and evidence checks. The root cause should explain the problem logically and consistently, and it should be supported by the data you gathered earlier.

One method that works well here is “5 whys” root cause analysis. It involves repeatedly asking “why did this happen?”—first in response to the symptom, then in response to the explanation, and so on, reaching further back into the chain of events.

For example, if a report was late, the first “why” might be that the data wasn’t ready. The next “why” might reveal that the data owner didn’t know the deadline. Another “why” might be that deadlines weren’t consistently documented. Eventually, you may find the real issue is a missing handoff process or unclear ownership—not the report itself.

A good RCA outcome points to a root cause you can actually change. It should point to something the team can change, improve, or control.

Step 5. Implement corrective solutions

Once you identify the root cause, design solutions that address it directly.

A strong solution isn’t just “work harder” or “be more careful”—those are merely surface fixes. A deeper fix changes the conditions that made the problem likely.

Corrective actions should be practical and measurable. That might include updating a workflow, clarifying ownership, improving training, adjusting capacity planning, refining requirements, or improving tooling.

This is also where decision-making needs structure. Teams should agree on what success looks like, who owns implementation, and how progress will be tracked.

Documenting solutions in Confluence helps teams stay aligned by keeping the plan visible and accessible. It also reduces the risk that key details get lost after the RCA meeting ends.

Step 6. Monitor results

The final step is making sure the solution worked.

Monitoring doesn’t need to be complicated, but it does need to be intentional. Track whether the issue reappears, whether performance improves, and whether any new risks are introduced as a result of the change.

If the problem persists, that doesn’t necessarily mean the RCA was useless. It could mean the solution didn’t fully address the cause, or that multiple causes were interacting. Follow-up analysis may be needed, but you’ll have a clearer foundation to build on.

Confluence can support this stage by helping teams document progress, share updates with stakeholders, and maintain a record that can be referenced during audits, retrospectives, and future improvements.

Key tips for conducting a root cause analysis

A good RCA is as much a mindset as it is a process. These best practices help teams undergo that transformation, leading to better outcomes:

Involve cross-functional teams 

Problems often cross boundaries, and the people closest to the work usually have critical context. Including multiple perspectives improves accuracy and creates stronger buy-in for the solution.

Keep the conversation focused on evidence 

It’s easy for RCA discussions to drift into assumptions or opinions, especially when people feel pressure to explain what went wrong. Data keeps the analysis grounded and reduces unnecessary conflict.

Treat RCA as a learning process

RCA isn’t a blame exercise. If people feel targeted, they will share less information, which would be counterproductive. You may end up with weaker analysis and shallow fixes.

Review and update processes regularly

RCA works best when teams use it as part of continuous improvement rather than only during major failures. This is also where risk management teams can build stronger prevention habits and reduce repeated patterns across the organization.

Example of a root cause analysis in action

Imagine an operations team that consistently misses a monthly reporting deadline.

At first, team managers assume the problem is workload-related. People are busy, priorities shift, and reporting becomes a last-minute scramble. They decide to “start earlier” next month, but the delay happens again.

Here’s how a structured root cause analysis takes them from confusion to solution:

• They define the problem clearly: the report is delivered two to four days late each month.

• They gather evidence: task timelines, handoff points, and stakeholder feedback. 

• They run a brainstorming session and map potential causes, including unclear ownership, missing inputs, inconsistent deadlines, and tool limitations.

• When they dig deeper, they find the root cause: the final data source arrives late because the upstream team lacks a documented deadline or a clear trigger to deliver it. 

The corrective solution is not “work faster.” It’s establishing a clear input deadline, assigning ownership of delivery, and adding a simple workflow check to confirm the data is ready before reporting begins.

After implementing the change, the team monitors results and sees reporting timelines stabilize. The late deliveries stop, and stakeholders regain confidence in the process.

Common techniques for a root cause analysis

Different problems call for different methods. The best RCA technique is the one that fits the complexity of your issue and the clarity of your data.

• 5 whys analysis works well when the problem is straightforward, and you want a quick way to dig deeper. It’s especially useful when the issue has a clear chain of cause and effect.

• Fishbone diagrams are helpful when the problem has multiple contributing factors. They allow teams to organize causes into categories and see where patterns cluster. This method supports team collaboration by providing a shared structure for contributing ideas.

• Fault tree analysis is often used for complex failures where multiple conditions combine to create an incident. It helps teams map out how events and decisions interact, which can be valuable in high-stakes environments.

In Confluence, teams can access templates for frameworks like 5 Whys analysis and Fishbone diagrams and build them visually using Confluence whiteboards. That makes it easier to standardize RCA across teams, projects, and departments.

Prevent future problems from escalating with a root cause analysis

Root cause analysis is one of the most practical tools teams can use to prevent repeat issues and reduce operational risk. It helps you move from reacting to problems to understanding, fixing, and learning from them.

When RCA becomes part of your normal workflow, teams build stronger habits around accountability, clarity, and follow-through. You also build a more dependable foundation for risk identification, risk management, and cross-team follow-through.

Using Confluence whiteboards to document analysis, track solutions, and share lessons learned helps teams keep everything connected in one place. Over time, that shared record becomes a valuable resource—supporting better decisions, faster alignment, and fewer avoidable setbacks.