Having worked across the full stack of data science for large and small companies. - What should we measure? - How should we measure? - How to interpret? - Is it time to scale the architecture?
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Maker
This has been an area of interest for me for a long time. Most startups fail because of not getting the product-market fit right rather than getting the product wrong.
Being able to make the right decisions in terms of core feature, pivot or abandon need to be backed and validated by data besides intuition.