Update Samples Table description (#10175)

Author: ale-cota

docs/product/metrics/img/trace-view-metrics.png

@@ -58,15 +58,11 @@ Every query gets its identifier which is also shown in the summary table of the
 
 Multiple queries can be combined into equations that allow you to perform arithmetic operations on the results of your queries. This can be useful when you want to compare two metrics or calculate a ratio between them. Click "Add Equation" to create a new equation. You can reference queries using their identifier (the letter(s) in the circle to the left of each query) in the input field that appears. For example, if you have two queries, `a` and `b`, you can create an equation that calculates the ratio between them by typing `a / b`. You can also use the `+`, `-`, and `*` operators.
 
-## Sample Transactions
+## Looking at Exemplars
 
-<Note>
-
-Currently, this feature is only available in JS, Python and PHP.
+While metrics are a great tool for analyzing your data in aggregate and identifying possible issues, you often need to go deeper and look at the correlation with other signals, such as traces, to find the root cause for a particular anomaly. Once you've identified a particular area of interest - such as a spike or a drop in your metric - it's helpful to compare a trace from when the metric was stable to one that happened during this anomalous behaviour. [Traces](/concepts/key-terms/tracing/distributed-tracing/) provide detailed records of exactly what happened in your system at a point in time, with all the rich context contained in individual spans.   
 
-</Note>
-
-While metrics are a great tool for analyzing your data in aggregate and identifying possible issues, you often need to go deeper and look at the correlation with other signals, such as traces, to find the root cause for a particular anomaly. Below your metric charts, the "Samples" tab shows a list of sample transactions to help you with your investigation. Click on a transaction to see more details.
+Below your metric charts, the "Span Samples" tab shows a list of exemplars associated with that metric. By clicking on a span, you can navigate to the full trace view.
 
 <div style={{"height":"0px","paddingBottom":"calc(56.8359% + 41px)","position":"relative","width":"100%"}}>
   <iframe
@@ -80,12 +76,15 @@ While metrics are a great tool for analyzing your data in aggregate and identify
     title="Sentry Metrics Explorer - Sample Transactions"
   ></iframe>
 </div>
+Within the trace view, custom metrics associated with a span are also displayed in the span details.
+
+![Trace View Metrics](./img/trace-view-metrics.png)
 
 ## Code Locations
 
 <Note>
 
-Currently, this feature is only available in Python and PHP.
+This feature is not currently available in all SDKs.
 
 </Note>