Models and iterations Every month or so, Manock and Oyama would present a new iteration based on Jobs's previous criticisms. The latest plaster model would be dramatically unveiled, and all the previous attempts would be lined up next to it. That not only helped them gauge the design's evolution, but it prevented Jobs from insisting that one of his suggestions had been ignored. Walter Isaacson, Steve Jobs iterationprototypes
The fastest way to learn something is to do something An Article by David R. MacIver notebook.drmaciver.com Suppose you have a problem to solve. What do you do? Well, you sit down and think real hard, and after extensive and careful planning you try the well thought out and rigorous solution that you have thought up. Right? No, wrong! Bad. The correct thing to do when you have a problem is: Think for a short amount of time. Make sure it is safe to try things. Try something you think will work. Observe the result. If you succeeded, yay you solved the problem! If it didn't work, think about what that means for the nature of the problem and try again. The Feynman Algorithm problemsprototypesfeedback
Game feel An Article by Dave Rupert daverupert.com How do you make a game that’s fun? ...You have to focus on gameplay. In order for the final product to be fun and exciting, the core game play needs to be fun and exciting. The creator of Mario calls this 手応え (tegotae), which is often translated as “game feel”. To find this game feel, you need to build small prototypes around a single idea, play test them, and then follow the fun. Nintendo does this, indie game devs do this; this is the not-so-secret of the gaming industry. Follow the funFollow the brush prototypesmakinggames
The Fidelity Curve An Article by Ryan Singer m.signalvnoise.com 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 fidelityTime to build versus confidence gained prototypesinterfaces
Functional Prototyping. A Missed Opportunity in Web Design An Essay by Chuánqí Sun medium.com Prototyping allows engineers in various industries to “fail fast, fail cheap”, “select the best from the pool”, and “bring in the reality”. prototypessoftware
Mediocratopia An Article by Venkatesh Rao www.ribbonfarm.com I once read a good definition of aptitude. Aptitude is how long it takes you to learn something. The idea is that everybody can learn anything, but if it takes you 200 years, you essentially have no aptitude for it. Useful aptitudes are in the <10 years range. Leveling up aptitude You need to make the step forward skill
Leveling up aptitude Your first short story takes 10 days to write. The next one 5 days, the next one 2.5 days, the next one 1.25 days. Then 0.625 days, at which point you’re probably hitting raw typing speed limits. In practice, improvement curves have more of a staircase quality to them. Rather than fix the obvious next bottleneck of typing speed (who cares if it took you 3 hours instead of 6 to write a story; the marginal value of more speed is low at that point), you might level up and decide to (say) write stories with better developed characters. Or illustrations. So you’re back at 10 days, but on a new level. This kind of improvement replaces quantitative improvement (optimization) with qualitative leveling up, or dimensionality increase. Each time you hit diminishing returns, you open up a new front. You’re never on the slow endzone of a learning curve. You self-disrupt before you get stuck. The interesting thing is, this is not purely a function not of raw prowess or innate talent, but of imagination and taste. learningcreativitytastepractice