"Here, the traditional design process doesn't just slow you down. It gives you false confidence in the wrong direction. You can't research something that doesn't exist. You can't validate a user need for an experience they can't imagine yet. This is where "learning by making" is effective. And it's also where you hit the boundary of what AI can actually help with. AI excels at surfacing explicit knowl"
The claim that design process is dead misreads what teams need. Teams fail when they do not know when to shift their mindset for different kinds of problems. For defined problems that others have solved, traditional design methods work well, including structured discovery, convergence, development, and delivery, supported by research, iteration, and measurement. For unprecedented problems where technology or interaction paradigms do not yet exist, traditional process can slow progress and create false confidence. In these cases, learning by making is effective because user needs and experiences cannot be validated through conventional research when users cannot yet imagine the experience. AI can help, but it has limits when explicit knowledge is missing.
Read at Medium
Unable to calculate read time
Collection
[
|
...
]