Gandalf Hudlow
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™.
Software that nobody wants
An Article by Gandalf HudlowFinding 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 Fidelity Curve
How do we choose which level of fidelity is appropriate for a project?
I think about it like this: The purpose of making sketches and mockups before coding is to gain confidence in what we plan to do. I’m trying to remove risk from the decision to build something by somehow “previewing” it in a cheaper form. There’s a trade-off here. The higher the fidelity of the mockup, the more confidence it gives me. But the longer it takes to create that mockup, the more time I’ve wasted on an intermediate step before building the real thing.
I like to look at that trade-off economically. Each method reduces risk by letting me preview the outcome at lower fidelity, at the cost of time spent on it. The cost/benefit of each type of mockup is going to vary depending on the fidelity of the simulation and the work involved in building the real thing.
Four levels of fidelity
Suppose we have four levels of fidelity…
- Rough sketch (on paper or an iPad)
- Static mock-up (eg. Photoshop or Sketch)
- Interactive mock-up (eg. Framer, InVision)
- Working code prototype (HTML/CSS, iOS views)
Depending on the feature you’re working on, these levels of fidelity take different amounts of time to create. If you plot them in terms of time to build versus confidence gained, you could imagine something like a per-feature fidelity curve.
Time to build versus confidence gained
Take a simple CRUD web UI, where you’re just navigating between screens. It doesn’t take much more time to build the real version than it does to mock it when the design is simple. If you were to build out an interactive mock first, you would end up spending twice as much time in total without gaining much out of it.
Contrast that with a complicated Javascript interaction. Or a native iOS feature that requires programmer time to build out. If it takes substantially more time to build the real code version, then it may be smart to do an interactive mockup first.