Here's some more elementary motivation for the definition of Krull dimension.
A way we can characterize the dimension of vector spaces is as the maximal flag in $V$ (i.e. the longest strictly increasing chain of subspaces). A key property here is that between each vector space, the dimension jumps by only one.
Krull dimension as defined for rings involves a strictly increasing chain of prime ideals. In algebraic geometry, (for decent settings, i.e. integral finite type schemes over a field), an increasing chain of prime ideals corresponds to a strictly increasing chain of varieties of increasing dimension.
In most scenarios, a maximal chain of primes then corresponds to a maximal strictly increasing chain of varieties where each dimension increases by one in the intuitive sense.
E.g. one can think of in $k[x_1,x_2,\ldots,x_n]$ of the sequence of varieties
$$
V(x_1,x_2,\ldots,x_n) \subset V(x_1,,x_2,\ldots,x_{n-1}) \subset \cdots \subset V(x_1)
$$
which geometrically looks like the origin, a line, a plane, \ldots, a hypersurface.
A lot of algebraic geometry is sort of trying to make the leap from the easy land of linear spaces to dealing with spaces defined by systems of polynomials (the roots of them).