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Collect data before enabling risky features

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When you face implementing a feature whose impact on the product is hard to predict (like MFA), stop and think first: define indicators that would tell you whether the situation gets better or worse, make sure the application records the data needed to compute them, and only then roll out the feature — ideally to a subset of users.

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recommendation
takeaway Collect data before enabling risky features
about
Takeaway rephrases the scaffolding analogy.
takeaway Collect data before enabling risky features
from_talk
Core closing takeaway of the talk.

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