In this paper I assess the current state of knowledge about quality-of-plac
e (QOP) analysis. I find that there are persistent problems in measuring QO
P, highly personal links between individual QOP perceptions and aggregate Q
OP measurements, mostly unintended impacts of public policy decisions on QO
P outcomes, and inadequate triangulation across model approximations and da
ta limitations when building tools to support local decisionmaking. The ana
lytical community should therefore acknowledge that people hold diverse pre
ferences, increase efforts to detect and model the consequences of policies
, look across levels of decisionmaking for influences on QOP, and build ada
ptive analytical capacity.