Change the metric you’re optimizing

Shift which outcome you measure and the problem often dissolves or transforms entirely.

Why it works

The metric a problem is framed around determines which solutions are even visible. Optimizing for speed produces a different solution than optimizing for reliability or adoption, even on the identical underlying situation. This is related to Goodhart’s law — once a measure becomes a target, it distorts behavior. Deliberately swapping the metric forces the brain to search a different solution space and often reveals that the original metric was a proxy for something deeper.

How to do it

1. Identify the implicit metric your current framing is optimizing ("fix this by Friday" = optimizing for speed).
2. Name two or three alternative metrics that could also define a successful outcome (quality, adoption, durability, cost).
3. For each alternative metric, write a fresh problem statement and generate two solutions.
4. Compare: does a different metric reveal a more tractable or more important problem?

Evidence

The role of goal framing in constraining solution search is well established in problem-solving research. Metric-switching as a deliberate technique is a practitioner application of this principle rather than an independently tested intervention. (mechanistic)

Useful as a prompting heuristic; there is no RCT evidence comparing metric-switching to other reframing techniques.

Common mistake

Assuming the stated metric is the one that actually matters to decision-makers, when the real success criterion is often unstated (e.g., political optics rather than efficiency).