Create a simple causal loop diagram with variables, polarity, and a structural intervention.
The growth team responds to slow experiments by adding more experiments, which reduces review quality and creates even more follow-up work. The recurring delay needs a feedback-loop view. A causal loop diagram names variables that change over time, marks causal polarity, and identifies whether the loop reinforces or balances behavior. The common trap is drawing a static cause list: too many ideas, not enough people, unclear metrics. Lists can be true but still hide how today's fix changes tomorrow's problem. Variables Name changing quantities: experiment backlog, pressure to launch, review depth, learning quality, follow-up experiments. Variables need to move up…
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