Hey everyone,
I was asked this question in one of the interviews:
How would you structure the approach/org of analytics at "X" to ensure a successful, sustainable data management and offering?
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What would be your thoughts on this and how will you answer it?
Clarify a few questions
Rewrite the problem statement again
North Star metrics - depending on the company and the stage, assume a good single NSM
L1 metrics with user actions - go through the user journey or AAARRR and list down the metrics
Prioritise the metrics (pick based on NSM or closer to it) and reason why it is important and others are not
Counter metrics or guardrail metrics - if it say ‘DAU is something you picked, counter could be retention or CSAT score’ this is to measure the net impact and peg your leaky bucket.
Summarize the problem statement, NSM, metric that matter and net impact.
Hi all,
This question is for people who have been in this field (any form of analytics) for a few years.
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