The upside to being a terrible procrastinator is that certain items on my to-do list, like, say, “build a chatbot”, will—given enough time—literally take care of themselves.
I ultimately feel like it has slowly turned into a fad. I got fooled by the trend, and as a by-product became part of the trend itself.
Of course, users can learn over time what prompts work well and which don’t, but the burden to learn what works still lies with every single user. When it could instead be baked into the interface.
I like how Luke is using a large language model to make a chat interface for his own content.
This is the exact opposite of how grifters are selling the benefits of machine learning (“Generate copious amounts of new content instantly!”) and instead builds on over twenty years of thoughtful human-made writing.
A terrific piece by Maggie Appleton that starts with a comparison of graphical user interfaces and command line tools—which reminds me of the trade-offs between seamless and seamful design—and then moves into a proposed paradigm for declarative design tools:
Small, scoped areas within a graphical interface that allow users to read and write simple programmes
Progressive disclosure interface patterns categorised and evaluated:
I really like the hypertext history invoked in this article.
The piece finishes with a great note on the MacNamara fallacy:
Everyone thinks metrics let us measure results. But, actually, they don’t. They measure only what they are measuring. Engagement, for example, is not something that can be measured, so we use an analogue for it. Time on page. Or clicks.
We often end up measuring what is quick, cheap, and easy to measure. Therefore, few organizations regularly conduct usability testing or customer-satisfaction surveys, but lots use analytics.
Even today, organizations often use clicks as a measure of engagement. So, all too often, they design user interfaces to generate clicks, so the system can measure them.
I love what Ben is doing with this single-serving site (similar to my design principles collection)—it’s a collection of handy links and resources around voice UI:
Designing a voice interface? Here’s a useful list of lists: as many guiding principles as we could find, all in one place. List compiled and edited by Ben Sauer @bensauer.
BONUS ITEM: Have him run a voice workshop for you!