What types of analysis do product managers often lack the resources (time, funding) or permission to do that would have a big impact on their product's success?
Causal inference, or any similar way of controlling for confounders, particularly for features that are launched at a point in time for the whole population rather than an AB test.
Summarization of open ended feedback, or more generally just making sure there's both measured data and feedback data
Cohorts analysis
Identification of both high and low adoption users to interview each group
Summarization of open ended feedback, or more generally just making sure there's both measured data and feedback data
Cohorts analysis
Identification of both high and low adoption users to interview each group