The symptom is specific: aI case studies fabricate impressive results. Start with the affected item and identify the decision or input that could produce this behavior.
Find the likely cause
The prompt asks for a success story without supplying evidence.
Treat this as an explanation to verify against the actual work. Look at the input, the relevant decision, and the final result together. If the evidence does not support this diagnosis, investigate the mismatch before applying a convenient but unrelated fix.
Make the targeted correction
Remove invented numbers and use only approved project records.
A credible case study explains the starting condition, intervention, observed result, and limits of the conclusion.
Check that the repair worked
Match every result statement to a documented measurement.
Repeat the check on the final version that the reader or customer will encounter. An approved draft, a preview, and a published result can differ; the acceptance decision should concern the version people actually use.
Prevent the next related failure
A separate issue to watch for is this: a case study claims causation from a simple before-and-after. Describe the result as observed and list important concurrent changes.
Monitor the useful outcome
Track case-study-assisted qualified conversations and whether readers understand the relevance to their own situation.
Keep a short record of the original symptom, the evidence behind the diagnosis, and the result of the acceptance check. That record makes the solution reusable when the same condition appears again, without assuming that every superficially similar problem has the same cause.