planning
The Thing-deadline calculus
The best-laid plans
But bulldozers move mountains
Good design is redesign
Obsessed with absolute numbers
A warning against the limitations of my own prescriptions
The plan must anticipate all that is needed
Many a corner office
Individuals matter
Driving engineers to an arbitrary date is a value destroying mistake
The value-destroying effect of arbitrary date pressure on code
An Article by Gandalf HudlowThe mandate from above is clear, just get it done! Avoid everything that's in the way: all advice, all expertise, all discovery efforts that detract from hitting the Date™!
What these organizations don't realize is that all software change can be modeled as three components: Value, Filler and Chaos. Chaos destroys Value and Filler is just functionality that nobody wants. When date pressure is applied to software projects, the work needed to remove Chaos is subtly placed on the chopping block. Work like error handling, clear logging, chaos & load testing and other quality work is quietly deferred in favor of hitting the Date™.
Hofstadter's Law
An Idea by Douglas HofstadterIt always takes longer than you expect, even when you take into account Hofstadter's Law.
Planning doesn't make for better software
A Fragment by Robin RendleMy own time in a Silicon Valley startup has proved this much to be true; planning doesn’t make for better software. In fact today our design systems team doesn’t have sprints, we don’t have tickets or a daily standup. Each day we come to work, figure out what’s the most important thing that we could be doing, and then we—gasp!—actually do it.
Watching so many other teams slowly flail about whilst they plan for quarter 3.2 of subplan A, whilst our team produces more work in a week than they all do combined in a quarter has been shocking to me.
After four years of working in a large startup, I know what I always assumed was true: you don’t need a plan to make a beautiful thing. You really don’t. In fact, there’s a point where overplanning can be a signal of inexperience and fear and bullshit. The scrum board and the sprints and the inane meetings each and every day are not how you build another Super Mario 64.
Instead all you have to do is hire smart people, trust them to do their best work, and then get the hell out of their way.
Yagni
A Definition by Martin FowlerYagni originally is an acronym that stands for "You Aren't Gonna Need It". It is a mantra from Extreme Programming that's often used generally in agile software teams. It's a statement that some capability we presume our software needs in the future should not be built now because "you aren't gonna need it".
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.