Apply suggestions from code review

Co-authored-by: Pedro Sousa <[email protected]>

Author: angelampcosta

src/content/docs/analytics/dashboards.mdx

@@ -6,11 +6,11 @@ sidebar:
 
 ---
 
-Custom dashboards allow you to create custom dashboards to monitor application security, performance, and usage. You can create monitors for ongoing monitoring of a previous incident, use them to identify indicators of suspicious activity, and access templates to help you get started.
+Custom dashboards allow you to create tailored dashboards to monitor application security, performance, and usage. You can create monitors for ongoing monitoring of a previous incident, use them to identify indicators of suspicious activity, and access templates to help you get started.
 
-Dashboards create a visual interface that displays key metrics and analytics, helping you monitor and analyze data efficiently. Different dashboards serve different purposes. For example, a security dashboard tracks attack attempts and threats, a performance dashboard monitors API latency and uptime, and a usage dashboard analyzes traffic patterns and user behavior.
+Dashboards provide a visual interface that displays key metrics and analytics, helping you monitor and analyze data efficiently. Different dashboards serve different purposes. For example, a security dashboard tracks attack attempts and threats, a performance dashboard monitors API latency and uptime, and a usage dashboard analyzes traffic patterns and user behavior.
 
-Different metrics serve distinct roles in providing insights into your application’s performance. For example, total HTTP requests offer an overview of traffic volume, while average response time helps assess application speed. Additionally, usage metrics such as traffic patterns and user behavior provide insight into how users interact with your application. These metrics together enable you to spot trends, identify problems, and make informed, data-driven decisions.
+Different metrics serve distinct roles in providing insights into your application’s performance. For example, total HTTP requests offers an overview of traffic volume, while average response time helps assess application speed. Additionally, usage metrics such as traffic patterns and user behavior provide insight into how users interact with your application. These metrics together enable you to spot trends, identify problems, and make informed, data-driven decisions.
 
 :::note
 Custom Dashboards is currently available to customers participating in the Log Explorer beta. To begin using custom dashboards, you will first need to request access to [Log Explorer](/logs/log-explorer/). 
@@ -35,10 +35,10 @@ When creating a dashboard from scratch, select the option **Create a new**. You
 
 To create a new chart, select **Add chart**. There are two ways to create a chart:
 
-- **Use a prompt**: Enter a query like “Compare status code ranges over time”. The AI model decides the most appropriate visualization and constructs your chart configuration.
+- **Use a prompt**: Enter a query like `Compare status code ranges over time`. The AI model decides the most appropriate visualization and constructs your chart configuration.
 - **Customize your chart**: Select the chart elements manually, including the chart type, title, dataset to query, metrics, and filters. This option gives you full control over your chart’s structure. 
 
-Refer to the following sections for more information about the charts, datasets, fields, metrics and filters available.
+Refer to the following sections for more information about the charts, datasets, fields, metrics, and filters available.
 
 ##### Chart types
 
@@ -63,7 +63,7 @@ The available metrics and filters vary based on the dataset you want to use. For
 | | Bytes returned to the Client | The amount of data (in bytes) sent from the server to the client in response to requests. | Total, Average, Median, 95th percentile, 99th percentile |
 | | Number of visits | Unique visits or sessions to a website or application. | Total |
 | | Origin response duration | The time taken by the origin server to process and respond to a request. | Total, Average, Median, 95th percentile, 99th percentile |
-| Security Events | Security events | Actions taken by Application Security products (WAF, Bot Management, etc). | Total |
+| Security Events | Security events | Actions taken by Application Security products such as WAF and Bot Management. | Total |
 
 ##### Filters
 
@@ -77,7 +77,7 @@ You can also adjust the scope of your analytics by entering filter conditions. T
 
 Alternatively, you can choose to create your dashboard using a pre-designed dashboard template. The templates available are:
 
-- **Bot monitoring**: Allows you to identify automated traffic accessing your website
+- **Bot monitoring**: Allows you to identify automated traffic accessing your website.
 - **API Security**: Allows you to monitor data transfers and exceptions for API endpoints in your application.
 - **API Performance**: Allows you to view timing data for API endpoints in your application, along with error rates. 
 - **Account takeover**: Allows you to monitor login attempts, usage of leaked credentials, and account takeover attacks.