Explore whether a strength plateau coincides with changes in weekly volume, frequency, rest periods, exercise rotation, session consistency or other training variables.
A plateau usually becomes interesting when performance stops changing across multiple comparable exposures. The useful next question is what changed around the same time. Volume, frequency, rest, exercise selection and consistency can all move together.
You define when the plateau begins, then compare average training variables before and during the plateau. The tool does not attempt to determine the cause. It highlights co-occurring changes that deserve closer inspection.
A written program cannot be evaluated properly if large parts of it were not completed. Completion percentage gives a simple consistency signal so a plateau is not interpreted as a pure programming problem when exposure itself changed.
Rest intervals change how much work can be performed at a given effort. A large rest-period change can therefore be worth noticing even when weekly sets are unchanged. The tool treats it as context rather than a causal verdict.
If the main movement changes during the plateau window, performance data may no longer be directly comparable. Record that change explicitly so you do not mistake a new exercise baseline for a stalled old one.
More than one comparable exposure is needed. The tool can work with six weekly rows as a practical starting structure.
No. It identifies variables that changed around the plateau.
That is useful information too: a plateau with stable structure suggests you should inspect other factors or collect more consistent data.
For interpretation, changing fewer variables can make the next block easier to understand, although the exact design is up to you.
Yes. The tool includes a visible rotation flag.
No. It is a training-log analysis tool.