The symptom is specific: a lead magnet attracts people who will never buy. Start with the affected item and identify the decision or input that could produce this behavior.
Find the likely cause
The resource solves an unrelated problem.
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
Choose a task that sits directly before the paid offer's use case.
A useful lead magnet helps the same person who could benefit from the paid offer complete a small task.
Check that the repair worked
Compare new subscribers' stated needs with the service you actually sell.
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: an AI-generated checklist is too generic to use. Rewrite each item as something the reader can inspect, decide, or complete.
Monitor the useful outcome
Measure resource use and qualified follow-up interest, alongside opt-in volume.
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.