Updated docs

docs/docs/metrics-introduction.mdx

@@ -31,7 +31,7 @@ All of `deepeval`'s default metrics output a score between 0-1, and require a `m
 Our suggestion is to begin with custom LLM evaluated metrics (which frequently surpass and offer more versatility than leading NLP models), and gradually transition to `deepeval`'s default metrics when feasible. We recommend using default metrics as an optimization to your evaluation workflow because they are more cost-effective.
 :::
 
-## Executing a Metric
+## Measuring a Metric
 
 All metrics in `deepeval`, including [custom metrics that you create](metrics-custom):