How to bridge the gap between peer mock reviews and actual FAANG PM scorecards?

I’ve done 10+ mock interviews here, but the feedback always feels vague – ‘improve structure’ or ‘clarify metrics’ without concrete direction. A friend mentioned that real FAANG PM scorecards have specific evaluation criteria for leadership and product sense. Has anyone reverse-engineered peer feedback using actual hiring rubrics? I’m curious how others cross-reference community insights with what hiring managers actually grade during onsite loops. For those who’ve seen real scorecards: what gaps do mock reviews typically miss?

let’s be real – half the ‘peer feedback’ here comes from ppl who failed their own interviews. scorecards? most can’t tell a product req doc from their lunch menu. pro tip: find an ex-amazon principal PM to roast you harder than their daily fire drill meetings. that’ll prep you.

omg following! i did 3 mocks but still confused?? like what metrics do they actualy track? someone pls share examples of real scorecards if allowed (doxxing?)

You’ve got this! Pair peer insights with scorecard-aligned checklists – growth happens in the gap! :flexed_biceps:

When I prepped for Google, an ex-interviewer showed me their old scorecard – shockingly, they weighted ‘questioning clarity’ higher than solution novelty. I started getting peers to rate how well I framed problems FIRST before solving. Night/day difference in my actual interview feedback!

Analysis of 23 failed-to-offer candidates showed 78% received ‘needs improvement’ in decision rigor without specific examples. Scorecards demand evidence of data-guided pivots – structure peer feedback around how clearly you articulate tradeoff rationales using mock business metrics.