Thread by @machsci

Whether you’re a #DataScientist, #Analyst, or #MachineLearning Engineer, fill your toolbox with one of the most important tools for any job:
🧰 Metrics Frameworks

They’re the shortcut to being effective and irreplaceable.

Example:

Take a org type like an e-commerce business. Most of them have the same functions within them: sales and/or marketing, finance, product, UX (site/app design and maintenance), logistics, customer service, legal, etc.

Seems like a ton of disparate data! Well, turns out…

while it’ll feel overwhelming the first time you work in a new unit, metrics frameworks for a given function are surprisingly durable from org to org.

Here’s an e-commerce marketing metrics framework (I spent time as a marketer and a marketing analyst, so it’s my favorite):

Measures (⭐️ = Attributed)
⤷ Impressions
⤷ Clicks
⤷ Visits
⤷ Visitors
⤷ ⭐️Add-to-Carts
⤷ ⭐️Conversions
⤷ ⭐️Revenue
⤷ ⭐️Profit
⤷ Cost

Dimensions
⤷ Campaign
⤷ Channel
⤷ Product Family
⤷ Product

Systems
⤷ Ad Platforms
⤷ Web Analytics
⤷ Attribution

There are certainly more metrics (swap Impressions for Sends and Opens and add Opt Outs for the Email channel for example).

But when you’re equipped with this framework, you can dig in to any marketing team’s data, and ramp up quick.

This has led to my favorite first-day conversations.

Instead of asking, “What do you have? What data do you need?”

I can say, “Can you show me where to find your impressions, clicks, and conversions data for campaigns run in the last year?”

And my absolute favorite…

“Oh, you don’t have that? Let me go build that for you!”

No one wants to figure out what data they need. And because I have this metrics framework, I don’t need them to! I already know most of what I’m looking for.

The same thing is true of finance, product, UX, etc. — fill your mental toolbox with metrics frameworks for each function.

And while you’re at it, build frameworks for org types too — e-commerce vs education vs local government vs manufacturing… what’s unique? What’s common?