diff --git a/metricflow/model/semantics/metric_lookup.py b/metricflow/model/semantics/metric_lookup.py
index ceead8a09f..f43348821d 100644
--- a/metricflow/model/semantics/metric_lookup.py
+++ b/metricflow/model/semantics/metric_lookup.py
@@ -106,11 +106,11 @@ def add_metric(self, metric: Metric) -> None:
                 )
         self._metrics[metric_reference] = metric
 
-    def yaml_input_measure_for_metric(self, metric_reference: MetricReference) -> Optional[MetricInputMeasure]:
-        """Get input measure defined in the metric YAML, if exists.
+    def configured_input_measure_for_metric(self, metric_reference: MetricReference) -> Optional[MetricInputMeasure]:
+        """Get input measure defined in the original metric config, if exists.
 
         When SemanticModel is constructed, input measures from input metrics are added to the list of input measures
-        for a metric. Here, use rules about metric types to determine which input measures were defined in the YAML:
+        for a metric. Here, use rules about metric types to determine which input measures were defined in the config:
         - Simple & cumulative metrics require one input measure, and can't take any input metrics.
         - Derived & ratio metrics take no input measures, only input metrics.
         """
diff --git a/metricflow/plan_conversion/dataflow_to_sql.py b/metricflow/plan_conversion/dataflow_to_sql.py
index e873d69d0c..87f1471dbf 100644
--- a/metricflow/plan_conversion/dataflow_to_sql.py
+++ b/metricflow/plan_conversion/dataflow_to_sql.py
@@ -898,7 +898,9 @@ def _make_select_columns_for_multiple_metrics(
                 # At this point, the MetricSpec might have the alias in place of the element name, so we need to look
                 # back at where it was defined from to get the metric element name.
                 metric_reference = MetricReference(element_name=metric_instance.defined_from.metric_name)
-                input_measure = self._metric_lookup.yaml_input_measure_for_metric(metric_reference=metric_reference)
+                input_measure = self._metric_lookup.configured_input_measure_for_metric(
+                    metric_reference=metric_reference
+                )
                 if input_measure and input_measure.fill_nulls_with is not None:
                     select_expression = SqlAggregateFunctionExpression(
                         sql_function=SqlFunction.COALESCE,