Hacking my way into analytics: A creative’s journey to design with data

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Sydney Anh Mai Contributor

Sydney Anh Mai is an award-winning product designer at Kickstarter. Her work has appeared on The Verge, Design Weekly and Core 77.

Growing up, did you ever wonder how many chairs you’d have to stack to reach the sky?

No? I guess that’s just me then.

As a child, I always asked a lot of “how many/much” questions. Some were legitimate (“How much is 1 USD in VND?”); some were absurd (“How tall is the sky and can it be measured in chairs?”). So far, I’ve managed to maintain my obnoxious statistical probing habit without making any mortal enemies in my 20s. As it turns out, that habit comes with its perks when working in product.

Growing up, did you ever wonder how many chairs you’d have to stack to reach the sky?

My first job as a product designer was at a small but energetic fintech startup whose engineers also dabbled in pulling data. I constantly bothered them with questions like, “How many exports did we have from that last feature launched?” and “How many admins created at least one rule on this page?” I was curious about quantitative analysis but did not know where to start.

I knew I wasn’t the only one. Even then, there was a growing need for basic data literacy in the tech industry, and it’s only getting more taxing by the year. Words like “data-driven,” “data-informed” and “data-powered” increasingly litter every tech organization’s product briefs. But where does this data come from? Who has access to it? How might I start digging into it myself? How might I leverage this data in my day-to-day design once I get my hands on it?

Data discovery for all: What’s in the way?

“Curiosity is our compass” is one of Kickstarter’s guiding principles. Powered by a desire for knowledge and information, curiosity is the enemy of many larger, older and more structured organizations — whether they admit it or not — because it hinders the production flow. Curiosity makes you pause and take time to explore and validate the “ask.” Asking as many what’s, how’s, why’s, who’s and how many’s as possible is important to help you learn if the work is worth your time.

source https://techcrunch.com/2021/04/29/hacking-my-way-into-analytics-a-creatives-journey-to-design-with-data/