A Fixes that Fail structure is one where the applied fix makes things better for a while and then things go awry. There is a also a video for this insight which is a component of the Systems Archetypes Course.
This structure begins as a standard goal seeking loop.
The difficulty arises because after some delay the [action] produces some [unexpected consequences] which actually limit the further progress toward to goal, or in extreme cases result in movement further away from the goal.
The simulation structure has been set up so that the [unexpected consequence] accumulates over time, which essentially represents a delay. [action factor], [uc factor] and [ucd factor] have been added to make it easy to control the rate of interactions.
Without the [unexpected consequence] in play we get the typical goal seeking behavior based on the parameters on the right.
With small values of [uc factor] and [ucd factor] you can see how the [unexpected consequence] grows and then levels out thus limiting the [current state] progress toward the [deisred state].
With larger values of [uc factor] and [ucd factor] you can see how the [unexpected consequence] continues to grow in time actually causing the [current state] progress away from the [deisred state].
Strategy: There are only two approaches for dealing with this structure; 1) Figure out how to keep the action from creating an [unexpected consequence]; 2) Figure out how to negate the [unexpected consequence] so it doesn't impact the [current state].
Please interact with the model changing the parameters and running the simulation until you get comfortable with the behavior of the structure.