nice workflow. the scoring parameters are the hard part though โ most teams use gut-feel criteria that don't actually correlate with conversion. we ran into the same problem building aisa.to (AI skills assessment) where the scoring criteria had to be evidence-based or the whole thing falls apart. how did you calibrate your scoring parameters, trial and error or did you have historical data to validate against?