  We propose and discuss sensitivity metrics for reliability analysis, which
are based on the value of information. These metrics are easier to interpret
than other existing sensitivity metrics in the context of a specific decision
and they are applicable to any type of reliability assessment, including those
with dependent inputs. We develop computational strategies that enable
efficient evaluation of these metrics, in some scenarios without additional
runs of the deterministic model. The metrics are investigated by application to
numerical examples.
