Let $f:\{-1,1\}^n\to\{-1,1\}$ be a boolean function. Define the influence of the $i$'th coordinate of $f$ as follows: $$\operatorname{Inf}_i(f)=\Pr_{x}[f(x)\neq f(\hat x_i)]$$ where $x$ is uniformly picked from $\{-1,1\}^n$, and $\hat x_i$ is $x$ with its $i$'th coordinate flipped (e.g., say $x=(1,1,1,1,-1)$, then $\hat x_3=(1,1,-1,1,-1)$).
Denote by $J_k$ the set of all the k-juntas for which the influencing variables are the first $k$ variables. That is, for each $f\in J_k$, the function $f$ is a boolean function that holds $Inf_i(f)>0$ for $1\leq i\leq k$ and $Inf_i(f)=0$ for $i>k$.
Let $0\leq \epsilon \leq 1$. What is the probability (over uniformly selecting such a k-junta) that the influence in each influencing coordinate of the junta will be less than $\epsilon$ ? Formally: $$\Pr_{f\in J_k}[\forall i\quad Inf_i(f)< \epsilon]=?$$