Update metric-alert-config.mdx

Author: rachrwang

docs/product/alerts/create-alerts/metric-alert-config.mdx

@@ -134,7 +134,7 @@ Change alerts, or alerts that use a percent change threshold, are useful when yo
 
 Anomaly alerts automatically detect trends outside expected values. They can be especially helpful for spiky or seasonal data that are too noisy for static or percentage based thresholds. Sentry will look at historical data for the given metric and determine if the current data is anomalous. Certain metrics, like Apdex, are currently not supported for anomaly alerts.
 
-You have three options for the responsiveness of the alert: low, medium, and high. Low responsiveness means the alert will fire less frequently with each instance fired more likely to be a problem. High responsiveness will capture more instances of the alert, which creates greater coverage with a higher likelihood for false positives. Our recommendation is to start with our default (medium), and iterate based on the results you see.
+There are three options for alert responsiveness: low, medium, and high. If you choose low responsiveness, then your alert will fire less frequently but with higher confidence (i.e. each time your alert fires, it is more likely to be a problem). If you choose high responsiveness, then your alert will fire more frequently with a greater chance of false positives. Our recommendation is to start with medium responsiveness, our default, and adjust the responsiveness based on the results you see.
 
 Another setting is to set the direction of the alert: above and/or below the expected bounds. This setting can help increase the signal of your alert rule.