Data-Driven Research + Design

We need to talk about data.

I’ve spent the last month thinking about strategic design: How can we show value of design?
We’ve been moving towards OKR’s - Objectives and Key Results to break down and measure success. To create a good OKR, we need good data. We need to be specific. We need numbers. Percentages. Estimates.

My Objective was: Becoming a (25%) more data-driven designer. Here were my Key Results:

KR1) Obtained Google Analytics Individual Qualification (GAIQ)Certification
Getting GAIQ allowed me to do a deep dive and learn about Google Analytics through advanced trainings. I learned more about how to utilize this very powerful software to segment users by device and analyze conversions, drop-offs, and bounce rates on my own site.

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KR2) Obtained Google Ads + Search Certification
After Google Analytics, my next step was to learn more about how the Adwords impacted conversions. I looked at the “Why?” behind my numbers to see how to optimize searches. This was fascinating because I learned how keywords could be activated on devices by geolocation.

KR3) Completed Foundations of Python, Python Data Structures, and Using Databases with Python
Coding is not my strength, but an area I am excited to grow. I signed up for my firm’s Women in Engineering initiative to learn Python via University of Michigan courses with a buddy. My buddy kept me accountable! Python is a complete different language, and I learned about strings, integers, lists, dictionaries, and tuples (which are IMMUTABLE).

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Surprisingly, I really enjoyed the Foundations course that I went on to complete the Data Structures and Databases course. I found SQL to be surprisingly easier to understand than Python. In my final project for databases, I added my location (Parsons) to a database, and was able to geolocate myself on a map!


Overall thoughts: Data analysis projects are interesting puzzles. I will get more into Data Science this year.

What should I learn next in Q2?