Every great idea needs a structure to stand on. We’ve mapped systems, named them, and explored how they work. Now it’s time for the final piece of the puzzle: 𝐃𝐚𝐭𝐚 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠.

Designing systems starts with vision, but it takes shape through language. Once we map the system, the next challenge is figuring out how to talk about it and what to call it. That’s where 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗡𝗮𝗺𝗶𝗻𝗴 comes in.

Ever feel like your problem is a little… bigger than expected? Like you tug on one string, and suddenly the whole sweater unravels? 🧶 That’s where 𝙎𝙮𝙨𝙩𝙚𝙢𝙨 𝙈𝙖𝙥s come in.

Ever feel like you have 𝑡𝑜𝑜 𝑚𝑎𝑛𝑦 𝑔𝑜𝑜𝑑 𝑖𝑑𝑒𝑎𝑠 and no clear way to decide which ones to tackle first? That’s where the 𝐈𝐦𝐩𝐚𝐜𝐭/𝐄𝐟𝐟𝐨𝐫𝐭 𝐌𝐚𝐭𝐫𝐢𝐱 comes in.

💡One of the biggest “aha” moments I had in learning Design Thinking was realizing that I am not my user. That’s where #Personas come into play

The best features don’t just work—they get noticed.
You know you’ve nailed #discoverability when people easily find new capabilities based on #precedent and #intuition.

When it comes to digital systems, I’d like mine in bubble wrap.

Just a crash pad for when things go sideways.

A soft landing when the app doesn’t understand my intention.

Is that too much to ask? 🤕

Ever try to save your work and accidentally delete it instead? That’s not a “you” problem. That’s a mapping problem. 🧭

If your software sometimes has your teammates wondering “Did that go through?” — you may have a great opportunity to bring clarity, confidence, and efficiency through solid design.

Continuing on #DesignThinking. When tools don’t guide people, guess what happens?

Hey, let me ask you a question:
Have you ever walked up to a door with a handle, instinctively tried to pull it—only to realize you were supposed to push?