Let $E$ be a normed $\mathbb R$-vector space, $(X_t)_{t\ge0}$ be an $E$-valued càdlàg process on a probability space $(\Omega,\mathcal A,\operatorname P)$ and $$\pi_\omega(B):=\sum_{\substack{s\:\ge\:0\\\Delta X_s(\omega)\:\ne\:0}}1_B\left(s,\Delta X_s(\omega)\right)\;\;\;\text{for }B\in\mathcal B([0,\infty)\times E)$$ for $\omega\in\Omega$.
Using that a regular function on a bounded interval has countably many jumps, we know that $\{s\ge0:\Delta X_s(\omega)\ne0\}$ is countable and hence $\pi_\omega(B)\in\mathbb N_0\cup\{\infty\}$.
But how do we see that $\pi_\omega$ is a counting measure$^1$?
I don't think that this is necessary, but I've only seen this claim under the assumption that $X$ is a Lévy process. However, this shouldn't be important.
This is stated as an exercise in exercise 16 of this lecture notes. So, I guess it's simple, but I've no idea how we should approach this.
$^1$ Remember that a measure $\mu$ on a measurable space $(S,\mathcal S)$ is called counting measure if
- $\mu$ is purely atomic, i.e. $$D_\mu:=\{x\in S:x\text{ is an atom of }\mu\}$$ is countable and $\mu\left(D_\mu^c\right)=0$;
- If $x\in D_\mu$, then $$\mu(\{x\})=1.$$
Moreover, $x\in S$ is an atom of $\mu$ iff $\mu(\{x\})\ne0$.