Shawn Wang
100 Bytes of CSS to look great everywhere
An Article by Shawn Wanghtml { max-width: 60ch; padding: 1.5rem; margin: auto; line-height: 1.5rem; font-size: 24x; }
Metrics have a strange hold on the imagination
A Fragment by Shawn WangOnce in place, metrics have a strange hold on the imagination: I've seriously had a CTO carelessly reject my genuine idea out of hand because "it doesn't help OKRs", the same OKRs we previously agreed should not describe all that we do.
I agree with Amir Shevat that we should "do the right things over the easy to measure things."
The Genius of Apple's Name
An Article by Shawn WangIt's easy to have strong opinions about stuff only developers see since user validation is just asking people like yourself. It's much harder to name something consumer facing. Here are some useful rules I gleaned from Apple:
- Two syllables max
- Familiar English word - literal 5 year olds can spell and pronounce it right
- Starts with A - useful for alphabetical sort. Amazon did this too
- Name leads to easy logo/swag/branding ideas
- Evoke aspirational qualities - knowledge, health, nature
Don't Rush to Simplicity
An Article by Shawn WangYou've probably heard this story before:
A businessman finds a fisherman, who is living an idyllic, peaceful life by the sea.
He laughs and tells the fisherman how to get rich instead.
The fisherman asks him what he will do after he gets rich.
He replies that he would retire to an idyllic, peaceful life by the sea.There's supposed to be a deep life lesson in there, but it's always felt insincere to me.
To me it is better to have reached the heights of a career, or suffered an epic defeat, even if I do end up in the same place as everyone else in the end.
To me simplicity is made more beautiful when understood through a long personal struggle with complexity. When I can dance with it, having turned a mighty nemesis into an old friend, and teach others to do the same.
Better to have loved and lost, than never to have loved at all.
80/20 is the new Half-Ass
An Article by Shawn WangThe Pareto Principle is making you lazy.
Let me be more precise: The Pareto distribution is a useful model of power law effects in real life. But people are using it poorly, primarily as an excuse to be lazy.
...People forget that the devil is in the details. The first 20% everyone knows to say on Twitter. The remaining 80% is the ugly, nasty, hacky, unglamorous shit nobody talks about unless you've got time to sweat the details.
Software that nobody wants
Finding value is the result of enabling individual and group-level discovery attempts. It's not the result of everyone following one leader's gut.
What just happened is a new software product/feature was created that no customer wanted. This happens way too often. In fact, most hyper important software projects that must be done by date certain or else, have deep flaws that cause some variation of this phenomenon, flaws that include:
- Not wanted - Company specified a solution to a problem that customers don't actually have
- No Rarity - Company is pursuing an iKnockoff of existing products. The market already has two scaled competitors with working solutions, customers naturally spend budget on products that are already successful to avoid risk
- Incorrect Packaging - Customers need a website, but the company created an iOS app instead
- Incorrect Pricing - Customers need SaaS pricing, but the company created a shrink wrapped, on-premise solution with CapEx and maintenance agreements instead
The 'date scrum' anti-pattern
Date Scrum is an R&D pattern where developers are asked to estimate software project requirements upfront for the entirety of the project. After the project is green lighted and the budget is set based on the final estimates, the team then holds daily scrums to status and manage risk as they “iterate” the solution toward the release date. To some, this approach is described as doing Waterfall in sprints.
The fundamental problem with Date Scrum is that the team is de-focused from discovering the best solution. Instead they are heavily focused on delivering Something™ by the Date™. Engineers are problem solvers, and if the primary problem becomes delivering Something™ that will pass QA by the Date™, they will, with enough pressure, solve that exact problem.