I used to see "Where is my order?" hit my inbox and feel my stomach drop. Another hour gone. I burned 12 hours a week putting out the same five fires. Then I replaced intuition with a repeatable system.
Computational thinking means spotting patterns in your actual tickets. I built this version on a $40k/month supplement store over 90 days. It cut my weekly support hours from 12 to 3.
What’s the simplest introduction to computational thinking I can actually use?
I tried mapping a complete system upfront. It nearly broke me. In 2024, I tracked every support ticket my small team handled for 90 days. The first month, I decomposed everything, 47 sub-problems: shipping delays, payment discrepancies, broken codes, refunds split by product line. The map was exhaustive. It was also useless. I wasted three weeks building a logic that collapsed under its own weight before we could use it.
I had fallen for the classic trap. I was optimizing for completeness instead of use. "Where is my order?" was one line item on that 47-row spreadsheet. But it ate 40% of our support hours anyway.
The fix was embarrassingly simple. Every Friday, I ran a 45-minute decomposition on one repeat task. The first week, I picked the WISMO emails. I listed the exact steps to resolve one: check the carrier, cross-reference order status, confirm the address. Then I sorted the last 100 tickets.
Three root causes covered 80% of them: pending fulfillment, carrier delay, address mismatch. I wrote one canned response for each and set up Gmail templates. That was it. No automation tool. No developer. Just a spreadsheet and the decision to stop treating every ticket like a novel.
Resolution time dropped 40% the first week. I did not touch the other 46 sub-problems for a month because the biggest drain was gone.
I still overbuild sometimes. Three months later I tried to map the entire refund process from scratch. Same mistake. Same three-week cost. The difference now is I catch it in days, not months. The Friday routine is the habit that surfaces the pattern before the system.
