You'll find some advice around researching schools and deciding what programs to apply to within our "To-Do" module. In terms of determining what program is a good fit for your career goals and aspiration though, here's where you're going to have to do some leg work and research.
Someone might be able to point you in the direction of "you should look at this program" but you'll be better served looking into things on your own and really getting to know different programs - it becomes VERY evident in the application progress which people are applying to a program "because it sounded like a good idea" (spoiler alert - those people rarely get in!) and those who have genuinely gotten to know a program and have decided that it's the right fit for them.
While we typically provide some feedback to folks on school selection as a part of our Sanity Check Services if they're being really unrealistic, we don't provide sessions specifically on school selection like traditional consultants do because, well, those are either sales calls and they want you to sign up for their services OR they will push you to only apply to "safe" schools bc they're most interested in being able to later tout their "success" rates.
As far as how admissions consultants identify schools for candidates -- they are just guessing based upon people they've seen like you in the past (+ also if your goals match something a program is "famous" for, e.g. Columbia for real estate, Yale for social enterprise, etc.). Maria teaches you how they do it here: MBA Admissions Chances: How To REALLY Determine Your Odds
Here at the Lab, we encourage people to apply
to a number of schools with your strongest application possible and to remember
just how competitive the process is - NO ONE can tell you that you're a slam
For YEARS people have asked: "Why did you engineer this awesome essay-writing tool, but you have NOT built a 'chances calculator' type of tool?" And the reason is that b-school admissions is ultimately EXTREMELEY subjective, such that any "calculator" would be so inaccurate that we haven't built one.
Case in point: we had a user whose admissions
consultant last year told him that Tuck was a "Stretch" school and he
wouldn't get in, and then he used the Lab and was accepted. So the
predictability is SUPER hard to gauge -- especially based on quantifiable