See how skipped channels and outcomes inform future recommendations

Every skip is a vote. When you repeatedly skip a channel or dismiss a recommendation, the system records the pattern, and the next plan stops pushing what you have shown you will not do. When measured outcomes come in, they feed the same loop. In the operating loop (Diagnose → Prioritize → Plan → Execute → Measure → Learn), this is the Learn step: a skip or a recorded outcome changes the next recommendation. This lesson is about watching that loop close, so you can trust that your judgment is teaching the system rather than fighting it.

After at least one full plan cycle, when the new plan's recommendations look different from the last one's, or when a recommendation you keep rejecting keeps appearing.

• At least one completed plan cycle with skips, dismissals, or measured outcomes on record.
• The verdicts from Interpret met, partial, missed, and inconclusive results fresh in mind: measured outcomes are the fuel here.

1. 1List what you skipped or dismissed last cycle, and the reason you picked. Every skip carries one of three reasons ("Not relevant", "Already doing it", "I disagree"), and the next plan reads them.
2. 2Open the new plan and compare its recommendations to the old one. Look for what disappeared, what softened, and what is new.
3. 3Find one changed recommendation and trace it back: was it a repeated skip that became a planning decision, or a measured outcome (met, partial, missed) that changed the bet?
4. 4Look for the trace in "What changed and why" (for example, an "Updated from your results" note) or in the plan's reasoning. If you cannot find the trace, ask the advisor what informed the change (see Use Chat with Marketing Advisor for context-aware advice).
5. 5Keep overriding freely. The loop is guided, not gated: a recommendation shaped by your skips is still a recommendation, and you can still reject it. You decide.
6. 6Watch for the failure mode in reverse: if you rejected a plan outright, that rejection should not silently train the next one. A discarded plan's attempts are not evidence, so confirm the next plan starts clean.

Recommendations that have visibly shifted between plan cycles, with the shift traceable to your skips or your measured outcomes. Plans that stop recommending channels you repeatedly dismissed.