I usually bundle feedback in two groups - first one is my target demographic, the second one is professional. First one is pretty straightforward to parse, the second one is a kind of a double-edged sword.
Whatever your methodology is, at some point you can't parse more feedback, and it's then noise, whatever its contribution is.
I see it this way: The higher frequency of exposure, the larger the sampling pool, the more noise AND the more opportunity to spot a recurring signal in that noise. If you keep your sampling pool low, how will you separate noise from signal?
Whatever your methodology is, at some point you can't parse more feedback, and it's then noise, whatever its contribution is.