diff --git a/content/en/dashboards/guide/_index.md b/content/en/dashboards/guide/_index.md
index b1f9b8f0b9cb4..a9a646a140dd1 100644
--- a/content/en/dashboards/guide/_index.md
+++ b/content/en/dashboards/guide/_index.md
@@ -12,40 +12,54 @@ cascade:
subcategory: Graphing Guides
---
-{{< whatsnext desc="General Guides:" >}}
- {{< nextlink href="dashboards/guide/maintain-relevant-dashboards" >}}Best practices for maintaining relevant dashboards{{< /nextlink >}}
- {{< nextlink href="dashboards/guide/how-to-graph-percentiles-in-datadog" >}}Graphing percentiles in Datadog{{< /nextlink >}}
+### Core Dashboard Concepts & Best Practices
+
+{{< whatsnext desc="Start here for foundational skills and broad strategies for effective dashboards." >}}
+ {{< nextlink href="dashboards/guide/maintain-relevant-dashboards" >}}Best practices for maintaining relevant dashboards{{< /nextlink >}}
+ {{< nextlink href="dashboards/guide/quick-graphs" >}}Quick Graphs{{< /nextlink >}}
{{< nextlink href="dashboards/guide/query-to-the-graph" >}}Query to the Graph{{< /nextlink >}}
+ {{< nextlink href="dashboards/guide/powerpacks-best-practices" >}}Powerpacks best practices{{< /nextlink >}}
+ {{< nextlink href="dashboards/guide/tv_mode" >}}Using TV mode for Dashboards{{< /nextlink >}}
+{{< /whatsnext >}}
+
+### Building & Customizing Visualizations
+
+{{< whatsnext desc="Create rich, usable dashboards with interactive features and meaningful visual styles." >}}
{{< nextlink href="dashboards/guide/widget_colors" >}}Selecting the right colors for your graphs{{< /nextlink >}}
- {{< nextlink href="dashboards/guide/compatible_semantic_tags" >}}Compatible semantic tags{{< /nextlink >}}
+ {{< nextlink href="dashboards/guide/unit-override" >}}Unit override{{< /nextlink >}}
{{< nextlink href="dashboards/guide/custom_time_frames" >}}Custom time frames{{< /nextlink >}}
- {{< nextlink href="dashboards/guide/quick-graphs" >}}Quick Graphs{{< /nextlink >}}
{{< nextlink href="dashboards/guide/context-links" >}}Context Links{{< /nextlink >}}
- {{< nextlink href="dashboards/guide/unit-override" >}}Unit override{{< /nextlink >}}
- {{< nextlink href="dashboards/guide/how-to-use-terraform-to-restrict-dashboards" >}}Using Terraform to restrict the editing of a dashboard{{< /nextlink >}}
- {{< nextlink href="dashboards/guide/is-read-only-deprecation" >}}Dashboards API: Migrate from is_read_only by December 13, 2024{{< /nextlink >}}
+ {{< nextlink href="dashboards/guide/version_history" >}}Version History{{< /nextlink >}}
{{< nextlink href="dashboards/guide/embeddable-graphs-with-template-variables" >}}Embeddable graphs with template variables{{< /nextlink >}}
{{< nextlink href="dashboards/guide/unable-to-iframe" >}}Why am I unable to iFrame certain HTTPS URLs?{{< /nextlink >}}
- {{< nextlink href="dashboards/guide/powerpacks-best-practices" >}}Powerpacks best practices{{< /nextlink >}}
+{{< /whatsnext >}}
+
+### Advanced Widgets, Data Sources & Techniques
+
+
+{{< whatsnext desc="Use advanced tools and techniques to power up your dashboards." >}}
+ {{< nextlink href="dashboards/guide/how-to-graph-percentiles-in-datadog" >}}Graphing percentiles in Datadog{{< /nextlink >}}
+ {{< nextlink href="dashboards/guide/compatible_semantic_tags" >}}Compatible semantic tags{{< /nextlink >}}
{{< nextlink href="dashboards/guide/slo_data_source" >}}Graph historical SLO data on Dashboards{{< /nextlink >}}
- {{< nextlink href="/dashboards/guide/slo_graph_query" >}}Scope metric-based SLO queries{{< /nextlink >}}
- {{< nextlink href="/dashboards/guide/apm-stats-graph" >}}Configuring an APM stats graph{{< /nextlink >}}
- {{< nextlink href="/dashboards/guide/version_history" >}}Version History{{< /nextlink >}}
- {{< nextlink href="/dashboards/guide/graphing_json/" >}}Graphing with JSON{{< /nextlink >}}
- {{< nextlink href="/dashboards/guide/using_vega_lite_in_wildcard_widgets/" >}}Using Vega-Lite with Wildcard Widgets in Datadog{{< /nextlink >}}
- {{< nextlink href="/dashboards/guide/wildcard_examples" >}}Wildcard Widget Examples{{< /nextlink >}}
- {{< nextlink href="/dashboards/guide/graphing_json/" >}}Graphing with JSON
- {{< /nextlink >}}
- {{< nextlink href="/dashboards/guide/tv_mode" >}}Using TV mode for Dashboards
- {{< /nextlink >}}
+ {{< nextlink href="dashboards/guide/slo_graph_query" >}}Scope metric-based SLO queries{{< /nextlink >}}
+ {{< nextlink href="dashboards/guide/apm-stats-graph" >}}Configuring an APM stats graph{{< /nextlink >}}
+ {{< nextlink href="dashboards/guide/using_vega_lite_in_wildcard_widgets/" >}}Using Vega-Lite with Wildcard Widgets in Datadog{{< /nextlink >}}
+ {{< nextlink href="dashboards/guide/wildcard_examples" >}}Wildcard Widget Examples{{< /nextlink >}}
+ {{< nextlink href="dashboards/guide/graphing_json/" >}}Graphing with JSON{{< /nextlink >}}
{{< /whatsnext >}}
-{{< whatsnext desc="Functions:" >}}
- {{< nextlink href="/dashboards/guide/how-weighted-works" >}}How does weighted() work?{{< /nextlink >}}
- {{< nextlink href="/dashboards/guide/rollup-cardinality-visualizations" >}}Understanding rollup function and cardinality in visualizations{{< /nextlink >}}
+### Functions, Automation & Access Control
+
+{{< whatsnext desc="Learn how data is transformed and how to automate and secure your dashboard setup." >}}
+{{< nextlink href="dashboards/guide/how-weighted-works" >}}How does weighted() work?{{< /nextlink >}}
+{{< nextlink href="dashboards/guide/rollup-cardinality-visualizations" >}}Understanding rollup function and cardinality in visualizations{{< /nextlink >}}
+{{< nextlink href="dashboards/guide/how-to-use-terraform-to-restrict-dashboards" >}}Using Terraform to restrict the editing of a dashboard{{< /nextlink >}}
{{< /whatsnext >}}
-{{< whatsnext desc="Deprecated APIs:" >}}
+### API Changes & Deprecations
+
+{{< whatsnext desc="Be aware of migrations and deprecated dashboard APIs." >}}
+ {{< nextlink href="dashboards/guide/is-read-only-deprecation" >}}Dashboards API: Migrate from is_read_only by December 13, 2024{{< /nextlink >}}
{{< nextlink href="dashboards/guide/screenboard-api-doc" >}}Screenboard API{{< /nextlink >}}
{{< nextlink href="dashboards/guide/timeboard-api-doc" >}}Timeboard API{{< /nextlink >}}
{{< nextlink href="dashboards/guide/dashboard-lists-api-v1-doc" >}}Dashboard Lists API (v1){{< /nextlink >}}
diff --git a/content/en/dashboards/guide/getting_started_with_wildcard_widget.md b/content/en/dashboards/guide/getting_started_with_wildcard_widget.md
new file mode 100644
index 0000000000000..d3c76e58d81be
--- /dev/null
+++ b/content/en/dashboards/guide/getting_started_with_wildcard_widget.md
@@ -0,0 +1,129 @@
+---
+title: Getting Started with the Wildcard Widget
+further_reading:
+- link: "/dashboards/widgets/wildcard/"
+ tag: "Documentation"
+ text: "Wildcard widget Overview"
+- link: "/dashboards/guide/wildcard_examples/"
+ tag: "Guide"
+ text: "Wildcard widget example visualizations"
+- link: "/dashboards/guide/using_vega_lite_in_wildcard_widgets/"
+ tag: "Guide"
+ text: "Using Vega-Lite in Wildcard widgets"
+---
+
+## Overview
+
+The Wildcard widget is a powerful and flexible visualization tool in Datadog that lets you build custom visual representations using the [Vega-Lite grammar][4]. In this tutorial, you'll learn how to use Datadog's **Wildcard widget** to build a flexible visualization that compares **typical (P50)** versus **slow (P95)** latency across your services.
+
+### Tutorial Objectives
+
+By the end of this tutorial, you will be able to:
+
+* Use Vega-Lite concepts to define visualizations in Wildcard widgets.
+* Import a query from an existing widget.
+* Visualize P50 vs. P5 latency as a scatterplot with labeled text.
+* Enable inter-widget interaction using a context menu.
+
+### Prerequisites
+
+* A Datadog account with access to [Notebooks][1] or [Dashboards][2].
+* You have telemetry such as APM trace data or request duration metrics.
+* You are familiar with basic Datadog widgets and dashboards and can [add a widget and edit it][3].
+
+## Understand the Key Concepts
+
+Before building your first visualization, it's helpful to understand two core Vega-Lite concepts: **encoding** and **layering**.
+
+Encodings
+: An encoding maps data to a visual element. You define these mappings in the "Define visual" tab of the Wildcard widget. For example:
+ * X position → p50 latency
+ * Y position → p95 latency
+ * Color → endpoint
+ * Shape → service
+
+Layering
+: Layering allows you to stack different mark types (text, points, bars) to create composite visualizations.
+
+## Step 1: Import an existing query
+
+Rather than starting from scratch, import a request from an existing widget. Copy the query from a widget you're interested in exploring further (such as a Top List). You can use widgets from your [prebuilt dashboards](https://app.datadoghq.com/dashboard/lists/preset/3?p=1).
+
+1. Navigate to an existing dashboard with a useful widget (Top list of database queries)
+2. Use the widget menu or use the keyboard shortcut (Ctrl/CMD + C) to copy the widget.
+3. In a new dashboard, add a Wildcard widget.
+4. In the editor, clear the default query ({{< img src="/icons/cancel-circle.png" alt="X icon to clear the query" inline="true" width="40px">}}).
+5. Paste the copied request with Ctrl/Cmd + V. The query and associated fields carry over automatically.
+
+{{< img src="/dashboards/guide/analyze_p50_vs_p95_latency_with_the_wildcard_widget/import_widget_walkthrough.mp4" alt="Walkthrough of importing a widget query into the Wildcard widget in Datadog" video=true >}}
+
+## Step 2: Refine the query
+
+In the query editor:
+
+1. Expand the **Data Preview** to identify the fields returned from the query.
+2. Add clarity by renaming field names. For example, rename `p50:trace.http.request{*} by {service}`→ `p50`
+3. Click **Add Query** to add a second formula, and change the group by from `p50 by` → `p95 by` to compare outlier latency.
+
+{{< img src="/dashboards/guide/analyze_p50_vs_p95_latency_with_the_wildcard_widget/refine_query_walkthrough.mp4" alt="Walkthrough of refining a query in the Wildcard widget, including renaming fields and adding a P95 formula" video=true >}}
+
+## Step 3: Auto-generate a visualization
+
+At the top of the query editor:
+
+1. Click the **Define Visual** tab.
+2. Press Cmd + Shift + P (Mac) or Ctrl + Shift + P (Windows/Linux) to open the **Command Palette**.
+3. Select **Auto-select chart**.
+
+{{< img src="/dashboards/guide/analyze_p50_vs_p95_latency_with_the_wildcard_widget/command_palette.mp4" alt="Your image description" video=true >}}
+
+Datadog automatically creates a scatterplot using the P50 and P95 metrics.
+
+