How to create more impactful analyses

👋 Hey, it’s Sundar! Welcome to a  paid subscriber only article of experiMENTAL: a weekly newsletter on B2C Marketing & data science how-to guides, frameworks, and stories from 15 years including early Uber. Free tier subscribers can continue reading for limited preview of the article.

The most successful B2Cs didn’t grow virally. As Lenny Rachitsky shared in an article, virality is a myth. What they did was grow consistently with quality.

The same can be said about careers. A few have temporary virality, but on average careers are linear. If you’re a data analyst or scientist that means to have a long lasting and growing career you need to produce quality consistently.

Quality without consistency = unreliable

Consistency without quality = unpromotable

How can data analyst or scientist produce consistent and quality analyses that drive your career?

You have to P.A.C.E. yourself.

The P.A.C.E. framework

I’ve produced 100+ analyses and reflecting on what went right vs wrong, there are 4 major milestones in an analysis. Many data analyst or scientist focus on just the analysis, but the battle is actually won before you start. After you deliver an analysis, you have to continue to follow through or your analysis won’t be remembered.

Let’s dig in.

Prioritize

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