Many users start with thin data. They may have just installed the app, just granted Apple Health access, or only recently started tracking sleep and workouts. That should not block the first plan.
At the same time, limited data should limit confidence. An app should not pretend that one questionnaire and a few partial signals are the same as weeks of consistent training history.
The first plan should be useful, not overconfident
When history is incomplete, the first plan should rely on what is known: your goal, season date, available training days, basic profile, limitations, and starting preference. That is enough to begin with a safe, practical direction.
It is not enough to aggressively optimize every detail. Conservative planning is not weakness; it is honesty.
Data makes the next plan better
As workouts, sleep, and recovery signals appear, the plan can become more specific. It can notice that you train regularly, that recovery is low, that you missed sessions, or that your availability changed.
SlopeReady should improve as the feedback loop improves. The value is not in pretending to know everything on day one, but in adapting over time.
Uncertainty should be visible
If signals are missing, sparse, or contradictory, the app should be clear about that. It is better to say “not enough data yet” than to show a confident number that the user should not trust.