I have semi-humorously dropped a comment defining Goodhart's law.
The problem you are describing is nothing else but Goodhart's law in action: A measure stops being a good measure, i.e. be a proxy for something, once there are objectives attached to it. In other words, attaching goals to a metric invalidates previous causal relationship.
That's neither bad, not good. It's a property of goal setting. The problematic part is still treating the measure as if it had causal relationship to something when that relationship has already been invalidated. In your example, number of suicides ceases to be comparable between pre and post OKR timeframes, however if you look closely, this particular goal is based on a metric the underlying OKR targets invalidate.
Yes, sometimes you get these weird tautologies where you have to change the whole framework/process to make something both targetable and measurable simultaneously, potentially losing comparability to past data.
The problem you are describing is nothing else but Goodhart's law in action: A measure stops being a good measure, i.e. be a proxy for something, once there are objectives attached to it. In other words, attaching goals to a metric invalidates previous causal relationship.
That's neither bad, not good. It's a property of goal setting. The problematic part is still treating the measure as if it had causal relationship to something when that relationship has already been invalidated. In your example, number of suicides ceases to be comparable between pre and post OKR timeframes, however if you look closely, this particular goal is based on a metric the underlying OKR targets invalidate.
Yes, sometimes you get these weird tautologies where you have to change the whole framework/process to make something both targetable and measurable simultaneously, potentially losing comparability to past data.