This is the whole point of "deliberate practice".
The problem is defining what is "deliberate" for tasks where there is not necessarily an "objectively correct" result.
But in most any field, if you’re genuinely interested in the field, you will be aware of people who you consider to be better than you. Even if it’s a highly subjective field, as you learn your taste/appreciation grows and you get a clearer picture of what you consider “better”. Those are your potential pool of coaches/mentors. You don’t have to pick just one, either.
There is a reason why we use cameras, computers and scientists for kinematics at the highest levels of sports.
If I go to a coach to help me with running faster their advice won’t be “completely wrong” — it will be “by and large” correct.
But there are still opportunities for “marginal” improvements that can be found with better measurements. Eg in moneyball they weren’t showing that everything the scouts did was completely wrong. They showed that marginal improvements could give them an economic edge. Even a few percentage points of improvement of received wisdom v measurement meant their money was much better spent.
Nope. Unless they've been vetted, their advice is rarely better than random. And, even if they've been vetted unless they're biomechanicists, they often have these totally weird misconceptions about some specific thing.
See: baseball pitching. Practically everything about pitching below the major leagues was detrimental to pitchers (and even the major leagues had lots of misconceptions) until the scientists got involved.
What disguises this in sports is that consistency wins out over correctness until you reach the very, very highest levels. The problem is that it is almost impossible to adjust to "correct" after 10+ years of doing it wrong. So, what happens is that those doing it "correct" move on to the next layer while those doing it "incorrect" get left behind.
Have you also read "Atomic habits" by James Clear ?
improvemnt ~= time-on-task * effectiveness-of-practice
Atomic habits is great on the operational side for systematically allocating time toward your goals. Establishing reliable and sustainable time-on-task.
Peak is great for having a critical framework for how, specifically, you use that allocated time. Optimizing effectiveness-of-practice.
Examples like driving or touch typing are among the most-mentioned examples in the literature for skills where people just go to "good enough" and then plateau, because they don't deliberately aim for improvement.
The most important idea I got from it is something like: You gotta practice to get good at things. People that are better than you at things very likely practiced _more_ and/or _better_ than you. Other factors matter very little in comparison.
The book goes deeper into what "more" and the "better" mean here.
You may think this takeaway is obvious, but the extent of it certainly wasn't for me, and I can tell it isn't for a lot of the people I talk to.