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Data-Driven Design is Killing Our Instincts
Data-Driven Design is Killing Our Instincts
It creates more generic-looking interfaces that may perform well in numbers but fall short of appealing to our senses.
It’s easy to make data-driven design decisions, but relying on data alone ignores that some goals are difficult to measure. Data is very useful for incremental, tactical changes, but only if it’s checked and balanced by our instincts and common sense.
It became clear to the team in that moment that we cared about more than just clicks. We had other goals for this design: It needed to set expectations about what happens next, it needed to communicate quality, and we wanted it to build familiarity and trust in our brand.We could have easily measured how many customers clicked one button versus another, and used that data to pick an optimal button. But that approach would have ignored the big picture and other important goals.
Not everything that can be counted counts. Not everything that counts can be counted.Data is good at measuring things that are easy to measure. Some goals are less tangible, but that doesn’t make them less important.While you’re chasing a 2% increase in conversion rate you may be suffering a 10% decrease in brand trustworthiness. You’ve optimized for something that’s objectively measured, at the cost of goals that aren’t so easily codified.
Design instinct is a lot more than innate creative ability and cultural guesswork. It’s your wealth of experience. It’s familiarity with industry standards and best practices.
Overreliance on data to drive design decisions can be just as harmful as ignoring it. Data only tells one kind of story. But your project goals are often more complex than that. Goals can’t always be objectively measured.
·modus.medium.com·
Data-Driven Design is Killing Our Instincts
Deep Laziness
Deep Laziness
Imagine a person who is very lazy at work, yet whose customers are (along with everyone else concerned) quite satisfied. It could be a slow-talking rural shop proprietor from an old movie, or some kind of Taoist fisherman – perhaps a bit of a buffoon, but definitely deeply content. In order to be this way, he must be reasonably organized: stock must be ordered, and tackle squared away, in order to afford worry-free, deep-breathing laziness. Consider this imaginary person as a kind of ideal or archetype. Now consider that the universe might have this personality.
·ribbonfarm.com·
Deep Laziness
Do Things that Don't Scale
Do Things that Don't Scale
Almost all startups are fragile initially. And that's one of the biggest things inexperienced founders and investors (and reporters and know-it-alls on forums) get wrong about them. They unconsciously judge larval startups by the standards of established ones. They're like someone looking at a newborn baby and concluding "there's no way this tiny creature could ever accomplish anything." It's harmless if reporters and know-it-alls dismiss your startup. They always get things wrong. It's even ok if investors dismiss your startup; they'll change their minds when they see growth. The big danger is that you'll dismiss your startup yourself. I've seen it happen. I often have to encourage founders who don't see the full potential of what they're building. Even Bill Gates made that mistake. He returned to Harvard for the fall semester after starting Microsoft. He didn't stay long, but he wouldn't have returned at all if he'd realized Microsoft was going to be even a fraction of the size it turned out to be. [4] The question to ask about an early stage startup is not "is this company taking over the world?" but "how big could this company get if the founders did the right things?" And the right things often seem both laborious and inconsequential at the time. Microsoft can't have seemed very impressive when it was just a couple guys in Albuquerque writing Basic interpreters for a market of a few thousand hobbyists (as they were then called), but in retrospect that was the optimal path to dominating microcomputer software. And I know Brian Chesky and Joe Gebbia didn't feel like they were en route to the big time as they were taking "professional" photos of their first hosts' apartments. They were just trying to survive. But in retrospect that too was the optimal path to dominating a big market.
·paulgraham.com·
Do Things that Don't Scale
What comes after Zoom? — Benedict Evans
What comes after Zoom? — Benedict Evans
If you’d looked at Skype in 2004 and argued that it would own ‘voice’ on ‘computers’, that would not have been the right mental model. I think this is where we’ll go with video - there will continue to be hard engineering, but video itself will be a commodity and the question will be how you wrap it. There will be video in everything, just as there is voice in everything, and there will be a great deal of proliferation into industry verticals on one hand and into unbundling pieces of the tech stack on the other. On one hand video in healthcare, education or insurance is about the workflow, the data model and the route to market, and lots more interesting companies will be created, and on the other hand Slack is deploying video on top of Amazon’s building blocks, and lots of interesting companies will be created here as well. There’s lots of bundling and unbundling coming, as always. Everything will be ‘video’ and then it will disappear inside.
the calendar is often the aggregation layer - you don’t need to know what service the next call uses, just when it is. Skype needed both an account and an app, so had a network effect (and lost even so). WhatsApp uses the telephone numbering system as an address and so piggybacked on your phone’s contact list - effectively, it used the PSTN as the social graph rather than having to build its own. But a group video call is a URL and a calendar invitation - it has no graph of its own.
one of the ways that this all feels very 1.0 is the rather artificial distinction between calls that are based on a ‘room’, where the addressing system is a URL and anyone can join without an account, and calls that are based on ‘people’, where everyone joining needs their own address, whether it’s a phone number, an account or something else. Hence Google has both Meet (URLs) and Duo (people) - Apple’s FaceTime is only people (no URLs).
When Snap launched, there were already infinite ways to share images, but Snap asked a bunch of weird questions that no-one had really asked before. Why do you have to press the camera button - why doesn’t the app open in the camera? Why are you saving your messages - isn’t that like saving all your phone calls? Fundamentally, Snap asked ‘why, exactly, are you sending a picture? What is the underlying social purpose?’ You’re not really sending someone a sheet of pixels - you’re communicating.
That’s the question Zoom and all its competitors haven’t really asked. Zoom has done a good job of asking why it was hard to get into a call, but it hasn’t asked why you’re in the call in the first place. Why, exactly, are you sending someone a video stream and watching another one? Why am I looking at a grid of little thumbnails of faces? Is that the purpose of this moment? What is the ‘mute’ button for - background noise, or so I can talk to someone else, or is it so I can turn it off to raise my hand? What social purpose is ‘mute’ actually serving? What is screen-sharing for? What other questions could one ask? And so if Zoom is the Dropbox or Skype of video, we are waiting for the Snap, Clubhouse and Yo.
·ben-evans.com·
What comes after Zoom? — Benedict Evans