What is it, and why use it?
Root Cause Analysis Builder organizes a problem, branching hypotheses, evidence and validation records in one editable investigation.
It helps a team see competing explanations and distinguish a supported cause from a plausible story.
Explore the Root Cause Analysis Builder features and local-file workflowWhen to use it
Use it when a problem has several possible explanations or needs a documented investigation across more than one branch.
When another tool fits better
Use Fishbone for broad cause brainstorming or 5 Whys for a focused chain. Use a Control Chart when the first question is whether a time pattern is unusual.
Before you start
- A bounded problem and a description of what did and did not occur.
- Observations, records and permission to investigate the operational process.
- A way to test explanations and record contradictory findings.
Use fictional or approved non-sensitive information. Do not include patient details or proprietary records in practice worksheets.
Step-by-step in CI Tools
Complete Problem definition with observable facts and boundaries.
In Cause Tree, add possible causes. Quick Build accepts an indented hierarchy; the visual view supports editing connections and layout.
Select a cause and enter supporting evidence, contradictory evidence and a validation method. Choose Validation status explicitly; connections do not validate a cause.
Use 5 Whys Investigation for a selected branch and Cause Validation Table to review outstanding checks.
Agree countermeasures only for adequately supported explanations, then create independent follow-up actions and save the complete analysis.
Validate a cause rather than its label
State what observation would support the mechanism, what would contradict it and which test is feasible. Record uncertainty explicitly. A selected validation status is a human judgment supported by evidence, never an automatic conclusion.
Completed worked examples
Demonstrations only: all organizations, observations, targets and results below are fictional. They are not clinical instructions or universal performance standards.
Healthcare operations — fictional
Referral routing delay
Starting information: A fictional service observes referrals waiting in the wrong queue.
- Observed routing delay
- Hypothesis: category labels
- Test routing accuracy
The middle box is an explanation to test, not established causation.
| Hypotheses | Ambiguous category names; incomplete submissions; unavailable reviewer |
|---|---|
| Evidence | A sample shows complete referrals repeatedly assigned to the same misleading category |
| Validation | Rename the category in a controlled test and review routing accuracy |
What the result means: The evidence supports investigating category design. It does not rule out other explanations or prove that renaming alone will solve the problem.
General business — fictional
Recurring order correction
Starting information: A fictional business sees incorrect delivery dates on confirmations.
| Hypotheses | Stale template; manual override; delayed supplier information |
|---|---|
| Contradiction | Some errors occurred on the current template |
| Next test | Compare override records with the incorrect-date cases |
What the result means: Contradictory observations keep the investigation open. Do not mark the template hypothesis validated simply because it sounds convincing.
Practise in a separate worksheet
Open the tool’s built-in synthetic sample as a new editable worksheet. It may differ from the worked demonstrations above. It never replaces an existing worksheet. Save any work you want to retain to your computer.
Open built-in practice worksheetYou’ll be asked to log in if needed. No worksheet is created just by reading this page.
Common mistakes and how to avoid them
- Marking causes validated because they appear in the diagram: record actual evidence.
- Ignoring contradictory observations: they may reveal a different mechanism.
- Assigning individual blame instead of examining the system and local conditions.
Interpret the result
Use the validation table to separate supported, untested and contradicted hypotheses. A cause tree structures reasoning; it does not calculate causal certainty. Test whether the proposed change affects the problem under comparable conditions.
Record the assumptions and unanswered questions alongside the result. Use the relevant local review process before making operational decisions.
Credible further learning
These independent educational resources explain the methods. They do not endorse CI Tools Suite. Some external resources have their own access requirements.
- ASQ: Cause analysis tools (external resource)
- IHI: Quality Improvement Essentials Toolkit (external resource)
Resource links reviewed 29 October 2026. Our interface instructions and fictional examples are original CI Tools learning material.
Put the method into practice
Start a new worksheet, use the guide beside your work and keep an editable .citools copy on your computer.
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