We should be creating simple MVPs to learn what people need.
That’s not how it’s used in many places. Instead, people see it as the least we can build to claim we shipped something.
2/
When we think in terms of learning, instead of shipping, we don’t need to give it to everyone. Just enough to learn something.
And we also need to make sure we have the instrumentation and process in place to actually learn.
Shipping something and moving on is not learning.
3/
So, while the diagram is correct in that an MVP needs to be more than raw functionality, it’s incorrect in assuming that building something “full pyramid slice” will be any different, if the learning isn’t built into the MVP process.
4/fin
Bonus thought:
Maybe all MVPs should have a self-destruct expiration date?
The MVP can only be in the field for, say 30 days. Then it destructs.
Teams need to replace it with something else, that’s better designed.
Choosing to ship crappy designs, under the guise of an MVP, so you can ship quickly, just creates UX and Tech Debt.
Let’s start with why do prosumer cameras still report these numbers. Your theory is because they are still useful in photography. That’s good, but I have an alternative theory.
My theory is because it’s an anachronism. The things those numbers represent are actually no longer meaningful. But, as you say, photographers have been trained on them. So, they come to expect them.
(1) what data is made visible to the users (and why you're wrong about this 😀) and (2) the flexibility of the tool (and why that's not relevant to this discussion)
I believe your notion that professional users (whatever that is) have more need for raw data than "you or I" is not correct.
Let's take pro photographers. The camera reveals all sorts of settings, most of which are anachronistic and where there's many complex interdependencies.
(For example, adjusting the ISO changes requires changes to both the shutter speed and the f-stop to get a similar image.)
As computational power has increased in the cameras, the need to know these numbers has vastly decreased.