It's relatively well understood that you can't be all things to all people. Somewhere one has to make choices. An Attractiveness Principle Systems Archetype is essentially a Limits to Growth Systems Archetype with multiple limits, all of which can not be addressed equally. There is a also a video for this insight which is a component of the Systems Archetypes Course.
This structure is just a Limits to Growth structure where there are two or more limits that may come into play. If you find a limiting factor don't stop looking. The point being that if you think there is only one then the other ones will get you sooner or later.
At this point the simulation version of this structure should be readily understood. We've added [action fact] to govern the growth rate and [slowing fact] to govern the [total slowing action].
The R1 reinforcing loop demonstrates the typical exponential growth curve. Because the [slowing fact] is set to zero the value of [limiting factor 1] and [limiting factor 2] are irrelevant.
With a small value of [slowing fact] [slowing action 1] and [slowing action 2] are impacting growth though growth is such that it is overwhelming the limiting factors as they're not hard limits.
With a larger value of [slowing fact] [slowing action 1] is sufficient to ensure there is no more growth. [Slowing action 2] doesn't come into play because [slowing action 1] keeps [Results] below the [slowing action 2] threshold. If you manage to mitigate [slowing action 1] then [slowing action 2] will begin to have an impact.
Once the [slowing fact] gets large enough the [results] may actually be diminished below the [slowing action 1] threshold.
Strategy: The strategy for is structure is actually the same for for the limits to growth structure; 1) Figure out how to increase the capacity in the area that is creating the limit; 2) Figure out hot to promote growth without that limiting factor. In this particular situation you just have to do it more than ones, with it probably more often the case.
Please vary the parameters for this model and run simulations until you have a good feel for the relationships and implications of this structure.