A lot of big organizations have absorbed a Lean Startup POV -- don't debate, just ship an MVP and measure. But in practice, we're usually measuring a proxy metric, it's a short-term test, the audience may be unrepresentative and because of all this, the result doesn't generalize.
What do you think an experiment needs before it can actually be called learning? And what kinds of product questions should not be done as experiments at all?
I love to use spreadsheets for prototyping too!
1) moving around a spreadsheet is very fast and lightweight
2) it forces you to think about layout first, before getting into imagery, colors and design
I am a party magician in my spare time -- I walk around parties and show short bits of eye-catching magic to guests.
I have noticed that some young people (~18-30 yo) lose attention within as little as 5 seconds. I could have someone choose a card and in that amount of time, they have spaced out -- no phone, just staring blankly. I have two rubber bands examined and by the time they are handed back, someone is on their phone.
The most annoying part is that -- because I construct my routines for minimal attention spans -- within 2 more seconds, something magic happens and everyone who's paying attention reacts. And the 1-2 young people who zoned out start panicking about the FOMO, "what happened?" "do it again!" Sorry folks!
This reminds me of when people are watching YouTubeTV and they see an ad for something they were talking about and are like, "Woah, it must be listening to us!"
When actually, modern ML can make really good guesses about ad relevancy using your location, data partners and recent searches from your home's IP address. When you explain this to people, they will still be convinced that the computer is listening to you and reasoning its way to deliver ads for you.
Much as I have read research and heard stories of the knock-on health improvement effects of GLP-1s... Expect a lot of that economic value to be captured by pharmaceutical companies charging for them. And insurance companies charging higher premiums, because they're paying for everyone to be on them.
This feature doesn’t help. The problem is that the phone is still using energy during the night, draining the battery by, for example 8-10%. Over several nights, this adds up to 1 cycle.
The fact that the OS waits to top up the battery just hides how much energy it used on background activity and notifications during the night.
Two unconventional things I do to improve my iPhone's battery health (which follow this article's findings):
1) Don't use a case - Otherwise, you are literally wrapping your phone in a rubber insulator 24/7, increasing its overall temperature.
2) Don't charge at night - Turn off your phone at night. Instead, charge it during the day when you're at your desk. This reduces the number of cycles over years (because your phone is continually draining/recharging all night even when you aren't using it)
Agreed, recent tech layoffs are a symptom of a bigger problem in corporate America: a “restructuring industrial complex” where blending up teams appears accretive when it’s literally counterproductive.
First priority of a business is to transform human work into something a customer needs. How does perpetual strategic and human churn accomplish this? The uncertainties of churn actually makes it super hard for employees to do a job. How about just DOING WORK to grow a business? Be decisive, focus teams on a goal and keep doing what customers want.
Seconding this. There is also a huge SMB and commercial business that supports many agencies and production companies. This could replace a lot of that work.
There are most definitely performances that you will enjoy less if you learn how it works. You're trading off "knowing" for being suspended in awe or mystery.