Before diagnosing anything, build a complete picture of the situation. Skipping this step means you risk running a root-cause analysis on the wrong symptom entirely.
Run through all six questions below before moving to root-cause analysis.
WHO — Who is affected?
- Which users or teams are experiencing the problem?
- Is it everyone, or specific groups only?
- Who reported it first and when?
- Who owns the system — technically and operationally?
- Who are the downstream recipients of the wrong outputs?
WHAT — What exactly is happening?
- What type of wrong answer — confidently wrong, outdated, vague, inconsistent, or discriminatory?
- What is the model being asked to do?
- What does a correct answer look like?
- What has already been tried to fix it?
- What is the business impact of the wrong answer?
WHEN — When did it start?
- When did the wrong answers first appear?
- Was onset sudden or gradual?
- When does it happen — always, intermittently, at specific times?
- What changed in the business or environment around that time?
- When was the model last updated or retrained?
WHERE — Where in the system?
- Where in the workflow does the wrong answer appear?
- Is it isolated to one business unit or system-wide?
- Where does the model get its information from?
- Where is the knowledge base stored and who manages it?
- Where does the output go after the model generates it?
WHY — Why does it matter?
- Why is this output consequential — what decisions does it inform?
- Why are users relying on this output without verification?
- Why hasn’t it been fixed already?
- Why does the team believe retraining is the solution?
- Why was the system designed this way originally?
HOW — How is it manifesting?
- How often does it happen?
- How is the wrong answer different from the correct one?
- How is the model currently monitored?
- How were users trained to use the system?
- How confident does the model appear when it gives wrong answers?
🚦 Decision Gate
After completing the checklist, answer:
Number of distinct problem types identified: ___
Who is affected by each: _________________________________
What pattern do timing and location suggest: _________________________________
If you identified more than one distinct symptom — treat each one as a separate problem. Do not diagnose them together; run a root-cause analysis on each symptom individually.
Ready to find the root cause? Continue with The 5 Whys Root Cause Drill, or read the full AI Model Diagnostic Framework for the complete method.