I would take the time points after intervention, subtract with the average sales before the intervention (treated as baseline), which should give you a decay time series. And then I would start with a linear mixed model, with coachs as fixed effect, stores and questionnaires as random effect. Then from the intercept you get the effect of each coach, and from the slope you get how long the effect usually stay there if there is one.
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