[Discover][Doc] Improve main documentation (#91854)

Co-authored-by: gchaps <33642766+gchaps@users.noreply.github.com>

docs/user/discover.asciidoc

@@ -3,9 +3,29 @@
 
 [partintro]
 --
-**_Tell {kib} where to find your data, then search and filter it for hidden insights and relationships._**
+**_Gain insight to your data._**
 
-You’ve added your data, and now you’re ready to dig in. You have questions about your data.
+*Discover* enables you to quickly search and filter your data, get information
+about structure of the fields, and visualize your data with *Lens* and *Maps*.
+You can customize and save your searches and place them on a dashboard.
+
+++++
+<script type="text/javascript" async src="https://play.vidyard.com/embed/v4.js">
+</script>
+<img
+style="width: 100%; margin: auto; display: block;"
+class="vidyard-player-embed"
+src="https://play.vidyard.com/c2qBPz74BU16ncbvDWGvbz.jpg"
+data-uuid="c2qBPz74BU16ncbvDWGvbz"
+data-v="4"
+data-type="inline"
+/>
+++++
+
+[float]
+=== Explore and query your data
+
+You have questions about your data.
 What pages on your website contain a
 specific word or phrase? What events were logged most recently?
 What processes take longer than 500 milliseconds to respond?
@@ -23,9 +43,6 @@ that summarize the contents of the data.
 At the end of this tutorial, you’ll be ready to start exploring with your own
 data in *Discover*.
 
-[role="screenshot"]
-image::images/Discover-Start.png[Discover]
-
 
 [float]
 === Prerequisites
@@ -36,24 +53,6 @@ image::images/Discover-Start.png[Discover]
 - You should have an understanding of {ref}/documents-indices.html[{es} documents and indices].
 
 
-[float]
-[[whats-you-goal-in-discover]]
-=== Define your goal
-
-When you explore your data in **Discover**, it's common to start with one or two goals:
-
-- **Get an overview of what is happening.**
-For example, you might look for
-information on the overall health and performance of your ecommerce business,
-and then share your findings in a report.
-
-- **Find an answer to a specific question.** You want
-to determine your customers' shopping preferences,
-and then visualize your findings on a dashboard.
-
-For this tutorial, your goal is to better manage your product inventory.  You want to
-know the top-selling products and on what day of the week these products sell the most.
-
 [float]
 [[find-the-data-you-want-to-use]]
 === Find your data
@@ -90,6 +89,9 @@ which can be overwhelming. You’ll modify this table to display only your field
 
 . Scan through the list of **Available fields** to see
 what’s in your data. You can also search for a field by name.
++
+[role="screenshot"]
+image:images/discover-sidebar-available-fields.png[Fields list that displays the top five search results, width=50%]
 
 . Find the `manufacturer` field, and then click it to view the five most popular values for that field.
 +
@@ -114,7 +116,13 @@ column header, and then use the move and sort controls.
 
 One of the unique capabilities of **Discover** is the ability to combine
 free text search with filtering based on structured data.
-To search all fields, enter a simple string in the **Search** field. To search particular fields and
+To search all fields, enter a simple string in the **Search** field.
+
+[role="screenshot"]
+image:images/discover-search-field.png[Search field in Discover]
+
+
+To search particular fields and
 build more complex queries, use the <<kuery-query,Kibana Query language>>.
 As you type, KQL prompts you with the fields you can search and the operators
 you can use to build a structured query.
@@ -137,6 +145,9 @@ You can filter results to include or exclude specific fields, filter for a value
 and more. The **Add filter** popup prompts you with the fields you can filter
 and the operators you can use.
 
+[role="screenshot"]
+image:images/discover-add-filter.png[Add filter dialog in Discover]
+
 Exclude documents where day of week is not Wednesday:
 
 . Click **Add filter**.
@@ -178,6 +189,9 @@ Saving a search saves the query and the filters.
 . In the toolbar, click **Save**.
 
 . Give your search a title, and then click **Save**.
++ 
+[role="screenshot"]
+image:images/discover-save-saved-search.png[Save saved search in Discover, width=50%]
 
 [float]
 === Visualize your findings
@@ -186,6 +200,9 @@ visualize it from **Discover**.
 
 . From the **Selected fields** list, click  `day_of_week`, and then click **Visualize**.
 +
+[role="screenshot"]
+image:images/discover-visualize.png[Discover sidebar field popover with visualize button, width=75%]
++
 {kib} creates a visualization best suited for this field.
 
 . Drag `manufacturer.keyword` from the field list and drop it on
@@ -196,11 +213,26 @@ image:images/visualize-from-discover.png[Visualization that opens from Discover
 
 . Save your visualization for use on a dashboard.
 
+If your documents contain geo point fields (image:images/geoip-icon.png[Geo point field icon, width=20px]), you can visualize them in **Maps**.
+
+. Make sure the index pattern is set to **kibana_sample_data_ecommerce** and the configured time range 
+contains data.
+
+. From the **Available fields** list, click `geoip.location`, and then click **Visualize**.
++
+[role="screenshot"]
+image:images/discover-maps.png[Map containing documents]
+
+. Save your map for use on a dashboard.
+
+
 [float]
 === What’s next?
 
 * <<kuery-query, Learn more about the structure of a KQL query>>.
 
+* <<discover-search-for-relevance, Search for relevance>>.
+
 * <<kibana-discover-settings, Configure Discover>> to better meet your needs.
 In **Advanced Settings**, you can configure the number of documents to show,
 the table columns that display by default, and more.
@@ -209,8 +241,6 @@ the table columns that display by default, and more.
 
 * <<reporting-getting-started, Present your findings in a report>>.
 
-* <<discover-search-for-relevance, Search for relevance>>.
-
 --
 
 include::{kib-repo-dir}/management/index-patterns.asciidoc[]