You know what, MichPod, I have been trying to understand in a simple way (and trying to learn how to explain to someone else in a simple way) exactly this kind of idea for a long time, without making much progress.
Actually, what I had been focusing on was to explain the "hbar" part rather than the "i" part. Perhaps the "hbar" part is trivial compared to the "i", but here are some thoughts anyway... I have put it down in a personal, anecdotal form because of the strange coincidence of my reading your question a minute ago.
So here goes... Well, as I said, this kind of thing is something I've been trying to understand for a while now. Over the last couple of days, for some reason, I have felt an "aha" moment coming on, but it never quite took shape.
Until this morning, a couple of hours ago, I woke up and became aware of the following notions swirling in my brain:
Imagine some process that involves frequency and time. For an example of this, I always like to think of a sound. A very sharp click, in the frequency domain, doesn't sound like any particular musical note. You can't quite say it's a C or a D or an E. If you capture it as a WAV file its Fourier transform will be all over the place in terms of fequency.
On the other hand, a not-so-sharp "pop" or "ping" "or "pip" does carry a sense of being lower down or higher up the musical scale. Its Fourier transform will be reasonably localized as well.
Now, imagine taking the WAV file and doing an FFT in Python or MATLAB or even in Excel (my favorite). The FFT is agnostic about the meaning of the signal, but it takes N points and produces N points. It is up to us to attach a scale to the output. If the WAV file holds N samples per second, we can calibrate the FFT's X axis (up to some factor) in terms of N hertz per sample.
Planck's constant is merely a part of that scaling that you need to apply going from the FFT's input to the FFT's output. In the case of sound it is obvious, it's as simple as f=1/T. But in the case of position and momentum it's empirical, it's something that Planck fitted to the blackbody problem so many years ago.
Another little thought:
If you have a particle in a box, or waves in a cavity, then the wavelengths are constrained to integer values. So the DFT / FFT analogy is particularly relevant here. In the discrete Fourier world, what goes round must come round. It is a reversible world, in fact it is a world that is programmed to repeat again and again. This feature connects rather nicely (at least to my mind) with wavefunctions sloshing around forever inside those boxes, cavities and infinite wells.