In This Article
I'm addicted to learning. But for years that addiction looked more like a scattered habit than a real advantage -- until the day I caught myself re-reading an article I had already forgotten.
Early in my career, curiosity alone wasn't enough. For years I'd study a little of this and a little of that as fads came and went, get the basics, and move on. Then one day I was reading about some new technology and realized, mid-article, I had read this exact piece a few months ago. What did I do with it the first time that I completely forgot it? That's when I realized I needed a better learning process so I could actually integrate knowledge into my work.
The College Internship That Taught Me Everything About Learning
During a college internship, I watched three distinct groups of companies respond to emerging technologies in their industry.
The Resisters put their head in the sand and avoided any mention of change. They were getting washed away as they waited for the "fad" to pass.
The Over-Committed bet the whole farm on the new shiny thing. They abandoned everything they knew, built half-baked solutions on problematic stacks, and got into deep trouble when industry standards settled on a different approach.
The Adapters were experimenting and making mistakes, but never betting the farm. They formed new alliances and aggressively pursued strategic experiments -- while holding back on going all-in until the industry settled on standards.
The Adapters survived and thrived. Their balanced approach actually helped them come together and share learning that created mutually beneficial standards for the next generation of technologies. Those who tried to leapfrog ahead were treated with suspicion and shut out of discussions.
The Continuous Learning Framework
That internship taught me that balance is everything -- resist change and you get washed away, chase every shiny thing and you flame out. So over time I built a five-stage cycle that turns scattered curiosity into systematic learning:
- Scan: Monitor your industry broadly across diverse sources to avoid echo chambers.
- Select: Not every trend deserves your attention. Align learning with your career goals and market demands.
- Study: Go deep. Use multiple formats, including AI tools, to build genuine capability.
- Apply: Use new knowledge immediately, even in small experiments. Without application it stays theoretical.
- Share: Give brownbag sessions, host talks, bring in experts. When you teach, you learn twice.
Billing by the Hour Taught Me to Learn Fast
I spend some of my time consulting. When you bill by the hour, you're accountable for the value you add. That pressure inspired an onboarding system I now use in every new role:
Customer-First: Use the product yourself. Then spend time with customer service, sales, and actual customers. This gives you unfiltered insight into what really matters and what problems need solving.
Technical Deep Dive: Talk with the dev teams and force them to help you draw a system diagram so you can understand the technologies at work.
Design Research Audit: Gather as much design research as you can. I especially enjoy tracking the evolution of documents over time -- it reveals assumptions, decision rationale, and areas that might need updating.
The One-Time Window: The onboarding period is often the only space you'll have to really dig through this stuff. It's the window when you have permission to ask questions that might seem obvious later, and it sets you up to start adding value ASAP.
I still catch myself mid-article sometimes, wondering if I have read something before. The difference now is that it rarely happens -- because scan, select, study, apply, and share turned a scattered habit into a system that actually sticks. That is the real gap between consuming information and building capability.