It's an interesting thought, almost like a "glassdoor.com" on startup failures. I'd be curious if Glassdoor actually implements some sort of a weighting scheme

It's an interesting thought, almost like a "glassdoor.com" on startup failures. I'd be curious if Glassdoor actually implements some sort of a weighting scheme to counter the bias that unhappy people are more likely to post reviews, so a poorly run group would have an outsize impact. It's because of that case I think free-form postmortems might be more insightful, despite their own obvious faults. Perhaps NLP and sentiment analysis could shed some light.