diff --git a/docs/source/guide/dashboard_data_quality.md b/docs/source/guide/dashboard_data_quality.md
new file mode 100644
index 000000000000..f4b09aa598cf
--- /dev/null
+++ b/docs/source/guide/dashboard_data_quality.md
@@ -0,0 +1,76 @@
+---
+title: Data quality dashboard
+short: Data quality dashboard
+tier: enterprise
+type: guide
+order: 0
+order_enterprise: 71
+meta_title: Data quality dashboard
+meta_description: Use the Data quality dashboard to analyze agreement, confusion, and dimension-level quality for a project.
+section: "Project Management"
+parent: "dashboards"
+parent_enterprise: "dashboards"
+date: 2026-06-29 00:00:00
+---
+
+> Investigate project data quality with agreement metrics, dimension-level comparisons, and confusion analysis.
+
+The **Data quality** dashboard helps you understand how consistently tasks are labeled and where annotations or labels disagree. Use it to find ambiguous tasks, confusing labels, and dimensions that need clearer instructions or review.
+
+For velocity and time spent, see the [Throughput dashboard](dashboard_throughput). For member-level performance, see the [Members dashboard](dashboard_members).
+
+## Access the dashboard
+
+From the project, open the **Dashboard** tab and select **Data quality** from the dashboard navigation.
+
+The Data quality dashboard has two tabs:
+
+- **Agreement analysis**: Review agreement metrics and confusion across dimensions.
+- **Label distribution**: Compare annotation and prediction label counts by dimension.
+
+## Agreement analysis
+
+Use the **Agreement analysis** tab to understand where annotators, models, and ground truth annotations align or disagree.
+
+### Average Task Agreement
+
+The **Average Task Agreement** KPI card shows the average agreement score for tasks in the project.
+
+Agreement is most useful when tasks have multiple annotations or a comparison source such as ground truth. Tasks with only one annotation do not provide an annotator-to-annotator agreement signal.
+
+### Overall Agreement Charts
+
+| Chart | Description |
+|-------|-------------|
+| **Task Agreement Distribution** | Histogram of task-level agreement scores.<br /><br /> More tasks in higher ranges indicate stronger labeling consistency; more tasks in lower ranges suggest ambiguous instructions, difficult examples, or labels that need clarification. Clicking on a bar opens up the tasks tasks in the Data Manager. |
+| **Agreement by Dimension** | Agreement score per dimension.<br /><br /> Use it to identify which dimensions are driving disagreement issues. |
+
+### Ground Truth Agreement
+
+| Chart | Description |
+|-------|-------------|
+| **Top Confusion Pairs** | Table of labels with the most number of incorrect values applied according to the ground truth.<br /><br />Use it to find label pairs that need better examples, clearer definitions, or additional training. |
+| **Confusion Matrix** | Heatmap comparing labels or values within a selected dimension. <br /><br />Use the dimension dropdown to choose which dimension to inspect (default: All dimensions). |
+
+## Label distribution
+
+Use the **Label distribution** tab to compare values from annotations and predictions for each dimension.
+
+Each supported dimension has a card with:
+
+- **Average Agreement**: Agreement for the dimension when there is enough data to compare annotations or predictions.
+- **Label Distribution chart**: A grouped horizontal bar chart comparing values from annotations and predictions.
+- **Label Distribution table**: Counts from annotations and predictions for each value, plus a **Total** row. Values in the **From Annotations** and **From Predictions** columns link to the Data Manager with filters applied for the selected dimension and value.
+
+For more detail about supported dimensions and Label Distribution behavior, see the [Label Distribution dashboard](dashboard_distribution).
+
+## Interpreting data quality issues
+
+Low agreement or high confusion does not always mean poor annotator or model performance. It can also indicate:
+
+- Ambiguous task data.
+- Labels that overlap conceptually.
+- Missing or unclear labeling instructions.
+- A project configuration that requires higher annotation overlap or [additional review strategy](quality).
+
+Use the Data quality dashboard together with the [Members dashboard](dashboard_members) and Data Manager to decide whether to update instructions, add examples, reassign tasks, or coach specific members.
diff --git a/docs/source/guide/dashboard_distribution.md b/docs/source/guide/dashboard_distribution.md
index f8bff3deccca..b42c4122d670 100644
--- a/docs/source/guide/dashboard_distribution.md
+++ b/docs/source/guide/dashboard_distribution.md
@@ -6,16 +6,16 @@ type: guide
 order: 0
 order_enterprise: 175
 meta_title: Label distribution dashboard
-meta_description: Use the label distribution dashboard to track the distribution of labels in a project. 
+meta_description: Use the Label Distribution dashboard to compare annotation and prediction label distributions by project dimension.
 section: "Analytics"
-date: 2024-04-04 11:50:41
+date: 2026-06-29 00:00:00
 ---
 
-The label distribution dashboard provides a visual representation of the label distribution in a project over time.
+The **Analytics > Label Distribution** dashboard shows how annotation and prediction values are distributed across a project. Use it to identify imbalanced labels, compare annotator and model outputs, and drill into the tasks behind a label value.
 
 ![Screenshot of Label distribution dashboard](/images/analytics/label-dist.png)
 
-#### Access by user role
+## Access by user role
 
 | User role | Access restrictions |
 |-----------|---------------------|
@@ -23,33 +23,44 @@ The label distribution dashboard provides a visual representation of the label d
 | **Manager** | Can view the **Label Distribution** dashboard, but can only filter for and view projects in which they are a member.  |
 | **Reviewer** and **Annotator** | Cannot access the **Label Distribution** dashboard. <br/><br/>When they open **Analytics**, they are redirected to the [Member Performance dashboard](dashboard_annotator), where they can only see their own annotation and review history. |
 
-## Supported control tags
+## Label distribution by dimension
 
-The label distribution dashboard supports control tags that have nested child tags. 
+The dashboard groups results by labeling dimension. A dimension can come from a traditional labeling config control tag or from an Interface output, such as ReactCode or CustomInterface fields.
 
-For example, tags such as `<Choices>`, `<Labels>`, `<RectangleLabels>` are supported. 
+Each supported dimension has a card with:
 
-But tags such as `<TextArea>`, `<Rating>`, and `<Number>` are not supported.
+- **Average Agreement**: Agreement for the dimension when there is enough data to compare annotations, predictions, or ground truth.
+- **Label Distribution chart**: A grouped horizontal bar chart comparing values from annotations and predictions.
+- **Label breakdown table**: Counts from annotations and predictions for each value.
 
-!!! note
-    Taxonomy tags with nested `Choice` tags are supported, but not [taxonomies defined with an external source](/templates/taxonomy#Taxonomies-defined-using-a-remote-source).
+![Screenshot of Label distribution dashboard](/images/analytics/label-dist-charts.png)
 
+## Label breakdown table
 
-## Label summaries and charts
+The label breakdown table shows each value for the selected dimension, plus a **Total** row.
 
-At the top of the Label distribution dashboard, summary cards show how many annotations and predictions are in the project. 
+| Column | Description |
+|--------|-------------|
+| **Label** | Label or value name. The final row shows the total across all values. |
+| **From Annotations** | Number of times the value appears in annotations. |
+| **From Predictions** | Number of times the value appears in predictions. |
 
-The charts show distribution of labels from annotations and from predictions. 
+Values in the **From Annotations** and **From Predictions** columns can link to the Data Manager with filters applied for the selected project, dimension, value, and source. Use these links to inspect the underlying tasks, annotations, or predictions.
 
-![Screenshot of Label distribution dashboard](/images/analytics/label-dist-charts.png)
+![Screenshot of Label distribution table](/images/analytics/label-dist-tables.png)
 
-You can click the overflow menu next to each chart to view it as a pie chart or to export the data as a CSV file.
+## Supported dimensions
 
-![Screenshot of Label distribution dashboard](/images/analytics/label-dist-menu.png)
+Label distribution supports dimensions with a finite set of values, including:
 
-## Label distribution tables
+- Label controls such as `<Labels>`, `<RectangleLabels>`, and other labels-based controls.
+- Choice controls such as `<Choices>`.
+- Taxonomy controls with finite, nested choices.
+- Enum-backed ReactCode and CustomInterface dimensions.
+- Other finite scalar dimensions that can be represented as a known set of values.
 
-The label distribution table shows a detailed distribution of labels from annotations and from predictions, shown as total count and as a percentage relative to the total number of annotations/predictions. 
+Dimensions that do not have a finite set of values are not shown as label distributions. This includes free text, arbitrary numeric or date values, objects, arrays, and values that are not declared in the dimension schema.
 
-![Screenshot of Label distribution table](/images/analytics/label-dist-tables.png)
+!!! note
+    If a dimension is unsupported, the dashboard should show that it is unsupported rather than rendering an empty chart. This helps distinguish "no data" from data that cannot be safely summarized as a label distribution.
 
diff --git a/docs/source/guide/dashboard_members.md b/docs/source/guide/dashboard_members.md
index f2e2b986e6c1..f331bf0197e1 100644
--- a/docs/source/guide/dashboard_members.md
+++ b/docs/source/guide/dashboard_members.md
@@ -4,89 +4,143 @@ short: Members dashboard
 tier: enterprise
 type: guide
 order: 0
-order_enterprise: 70
+order_enterprise: 72
 meta_title: Members dashboard
-meta_description: Use the member dashboard to monitor project annotation quality. 
+meta_description: Use the Members dashboard to monitor annotator and reviewer performance, agreement, and quality metrics within a project.
 section: "Project Management"
 parent: "dashboards"
 parent_enterprise: "dashboards"
-date: 2025-08-05 19:55:41
+date: 2026-06-17 00:00:00
 ---
 
-> Get insight into the productivity, agreement, and performance of members annotating in a project. 
+> Get insight into the performance, agreement, and quality of members working on a project.
 
-While the [Project Dashboard](dashboard_project) provides insight into project task progress and throughput, the Members Dashboard provides more information on annotation agreement and outcome.
+The Members dashboard gives you two views of your project's workforce: a **Performance** tab with separate tables for annotators and reviewers, and an **Agreement Matrix** tab for inter-annotator reliability.
 
-This can be useful in a number of ways: 
+This can be useful in a number of ways:
 
-- **Track annotator performance and agreement**: View key metrics like agreement rate, review score, and performance score to identify which annotators are aligned or need support.
-- **Monitor annotation progress**: See how many annotations are finished, skipped, or reviewed, along with annotation time and progress percentages to manage annotator backlogs.
-- **Identify quality and consistency issues**: Use the agreement matrix and distribution chart to spot disagreements or edge cases that may require further review or clearer guidelines.
+- **Track annotator and reviewer performance**: View key metrics like agreement, acceptance score, performance score, GT agreement, and time spent to identify who is aligned or needs support.
+- **Monitor annotation and review progress**: See how many annotations have been submitted, accepted, rejected, or are still pending review for both annotators and reviewers.
+- **Identify quality and consistency issues**: Use the Agreement Matrix tab to spot disagreements between members, then click into cells to view the specific tasks where they diverged.
 
-For annotator metrics across projects and over time, see the [Annotator Performance Dashboard](dashboard_annotator).
+For member metrics across projects and over time, see the [Member Performance dashboard](dashboard_annotator).
 
 ## Access the dashboard
 
-The dashboard is available from the Members tab inside a project.
+From the project, open the **Dashboard** tab and select **Members** from the dashboard navigation.
+
+The Data quality dashboard has two tabs:
+
+- **Performance**: Review key metrics for individual annotators and reviewers in the project.
+- **Agreement Matrix**: Compare pairwise agreement scores between members, models, and ground truth.
 
 ![Screenshot of Members Dashboard](/images/project/project_members_dashboard.png)
 
-## Annotation Summary
+## Filter by participants
+
+A participant filter is available in the top right of the dashboard. By default it shows **All participants**.
+
+- Annotators are listed under **All Annotators**; if the project has model predictions, model versions appear under **All Model Versions**.
+- Selecting specific participants narrows both the Performance tables and the Agreement Matrix to only those members.
+
+## Performance
+
+The **Performance** tab has a toggle to switch between:
 
-The Annotation Summary shows annotation progress and quality metrics for each member in the project. The values reflect current project data, i.e. any changes to annotations or reviews will be updated in the metrics.
+- **Annotations**: metrics for each member's submission activity
+- **Reviews**: metrics for each member's review activity
+
+Use the **Export** button to download the currently visible table as a CSV.
+
+### Annotation Summary
+
+The **Annotation Summary** table shows annotation metrics for each project member. The table is sortable and includes a totals row at the bottom. Use the **Columns** picker to show or hide columns.
 
 | Column | Description |
 |--------|-------------|
-| **Paused** | Toggle indicating whether the member is currently paused in the project. Learn more about [pausing an annotator](quality.html#Pause-an-annotator). |
-| **Agreement Score** | Average agreement score against other members. Calculated as the average of the member's pairwise agreement scores with other members in the project. <br>Pairwise agreement scores are found in the [Annotator Agreement Matrix](#Annotator_agreement_matrix).|
-| **Finished** | Total number of submitted annotations. Excludes any skipped annotations. Does not consider annotation updates or review outcomes. |
-| **Skipped** | Total number of tasks currently skipped. |
-| **Accepted** | Total number of annotations accepted by reviewers. Only counts annotations with the current review state of 'Accepted'. |
-| **Rejected** | Total number of annotations rejected by reviewers. Only counts annotations with the current review state of 'Rejected'. |
-| **Review Score** | Percentage of reviewed annotations that are currently accepted. Offers two options:<ul><li><strong>Overall</strong>: (total number of accepted annotations) / (total number of reviewed annotations)</li><li><strong>Per-label</strong>: (total number of accepted annotations where label is present) / (total number of reviewed annotations where label is present)</li></ul> |
-| **Performance Score** | Percentage calculation considering overall performance of annotations in terms of review outcome (Accept, Reject, Fix+Accept). A higher score indicates better overall annotation quality. See [Annotator Performance summaries](dashboard_annotator#Performance-summaries) for more detail on the calculation method. Offers two modes:<ul><li><strong>Overall</strong>: considers all reviewed annotations</li><li><strong>Per-label</strong>: considers only reviewed annotations where label is present</li></ul> |
-| **Annotation Progress** | Member's annotation progress, calculated based on the project's [label distribution setting](project_settings_lse.html#Annotation):<ul><li><strong>Auto</strong>: (total submitted annotations) / (total submitted annotations by member + total tasks where annotation is not complete - total tasks where member has a draft annotation)</li><li><strong>Manual</strong>: (total assigned annotations submitted) / (total assigned tasks)</li></ul> |
-| **Time** | Time spent annotating based on [`lead_time`](dashboard_annotator#Performance-summaries), which includes time to submit and time spent updating. Offers three modes:<ul><li><strong>Mean Time</strong>: Average time spent per annotation</li><li><strong>Median Time</strong>: Median time spent on an annotation</li><li><strong>Total Time</strong>: Total time spent across all annotations</li></ul> |
-| **Ground Truth** | Average agreement score against ground truth annotations. [Ground truth](ground_truths.html) acts as a way to assess the accuracy of other annotations. |
-| **Predictions** | Average agreement score against model predictions. The model used for comparison is selected in the [Live Predictions setting](project_settings_lse#Annotation). |
+| **Annotator** | Member name. Click to open this member's [Member Performance dashboard](dashboard_annotator) filtered to this project. |
+| **ID** | Member's numeric user ID. |
+| **Paused** | Toggle to manually pause or unpause an annotator. See [Pause an annotator](quality.html#Pause-an-annotator). |
+| **Agreement** | Average agreement score with other annotators on tasks where multiple annotations exist. |
+| **Assigned** | Number of tasks manually assigned to the member or containing a submitted annotation by the member. |
+| **Pending** | Number of tasks manually assigned to the member that do not yet have a submitted or skipped annotation. |
+| **Submitted** | Total annotations submitted by the member. Includes submitted, updated, and reviewed annotations. |
+| **Skipped** | Number of tasks skipped by the member. |
+| **Accepted** | Number of submitted annotations accepted by reviewers. |
+| **Fix + Accepted** | Number of submitted annotations fixed then accepted by reviewers. |
+| **Rejected** | Number of submitted annotations rejected by reviewers. |
+| **Acceptance Score** | Total accepted annotations divided by total reviewed annotations. |
+| **Performance Score** | Overall annotation performance based on review outcomes (Accept, Reject, Fix+Accept). See [Annotation performance summaries](dashboard_annotator#Annotation-performance-summaries) for the calculation. |
+| **Total Lead Time** | Total elapsed time from task open to submit across all annotations. Includes time spent updating. |
+| **Avg Lead Time** | Average elapsed time per submitted annotation. |
+| **Median Lead Time** | Median elapsed time per annotation. |
+| **GT Agreement** | Agreement between this member's annotations and ground truth annotations on overlapping tasks. |
+| **Prediction Agreement** | Agreement between this member's annotations and model predictions on overlapping tasks. |
+| **Last Active** | Date and time of the member's most recent activity in the project. |
 
+!!! note
+    The following columns are hidden by default and can be shown using the **Columns** picker: **ID**, **Assigned**, **Pending**, **Median Lead Time**, **Prediction Agreement**.
 
-### Export Annotation Summary table
-
-You can use the **Export CSV** button to export the Annotation Summary table.
+### Review Summary
 
-## Annotator Agreement Matrix
+The **Review Summary** table shows review activity for each member who has performed reviews on the project.
 
-The Annotator Agreement Matrix helps you see how consistently different members annotate the same tasks.
+| Column | Description |
+|--------|-------------|
+| **Reviewer** | Member name. Click to open this member's [Member Performance dashboard](dashboard_annotator) filtered to this project. |
+| **ID** | Member's numeric user ID. |
+| **Paused** | Toggle to pause or unpause a reviewer. |
+| **Reviewed** | Total annotations reviewed. Sum of accepted, fix+accepted, and rejected. |
+| **Pending** | Number of tasks manually assigned to the reviewer that have not yet been reviewed. |
+| **Accepted** | Number of annotations accepted by the reviewer. |
+| **Fix + Accept** | Number of annotations fixed then accepted by the reviewer. |
+| **Rejected** | Number of annotations rejected by the reviewer. |
+| **Avg time** | Average time spent reviewing an annotation. Includes time spent fixing annotations. |
+| **Total time** | Total time spent reviewing. |
+| **Median time** | Median time spent reviewing an annotation. |
+| **Last active** | Date and time of the reviewer's most recent review activity. |
 
-- **Agreement scores** are shown as percentages between members who have both annotated the same task. Higher percentages reflect stronger alignment in their annotations. See more on how [agreement score is calculated](stats).
-- **Hover over any cell** to view more information including the number of tasks where both members made an annotation. If a member made more than one annotation in a task, the additional annotation(s) are also considered. 
-- **Use the label dropdown** to filter and explore agreement when at least one annotation contains the specified label.
+!!! note
+    The following columns are hidden by default and can be shown using the **Columns** picker: **ID**, **Performance**, **Submitted tasks**.
 
 !!! note
-    Agreement in the Members Dashboard reflects the [Pairwise agreement](stats#Pairwise) between annotators, regardless of what methodology you have selected for the project. 
+    Review time data collection began on September 25, 2025 for cloud environments, or version 2.30.0 for on-prem deployments. Filtering for earlier dates will not include review time.
+
+### Performance by Dimension
+
+The **Performance by Dimension** table appears below the Annotation Summary on the Annotations sub-tab. It breaks down each member's performance score per labeling dimension  configured in the project.
 
-## Agreement Distribution
+Use the **Compare with** dropdown to choose how scores are calculated:
 
-The Agreement Distribution visualizes how agreement scores vary across tasks in your project. The bar chart displays the number of tasks at each agreement score range.
+- **Compare with GT** — scores reflect each member's agreement with ground truth annotations on overlapping tasks.
+- **Compare with All Annotators** — scores reflect each member's agreement with other annotators on the same tasks.
 
-- Taller bars toward the right indicate stronger consensus and likely higher data quality.
-- Clusters in the lower agreement ranges may signal ambiguous or difficult tasks, or annotation guideline gaps
+An **Avg** column shows each member's overall average across all dimensions. A footer row shows the average per dimension across all members. Use the **Columns** picker to show or hide individual dimensions.
+
+## Agreement Matrix 
+
+The **Agreement Matrix** tab shows the **Member / Model Agreement Matrix**, a heatmap of pairwise agreement scores between all members (and models, if included via the participant filter) in the project.
+
+Click on any cell to open the Data Manager filtered to tasks where both members annotated, so you can inspect disagreements directly.
+
+!!! note
+    Agreement in the Members dashboard reflects an agreement score between annotators, regardless of the [agreement methodology](stats#Methodology) configured for the project.
 
-## Include model predictions
+### Filters
 
-If your project includes predictions, you will see a **Show Models** toggle:
+- **Dimension**: Filter agreement by a specific labeling dimension (control tag). Defaults to **All dimensions**.
+- **Label**: Filter to tasks where at least one annotation contains the specified label. Only available when a specific dimension is selected.
 
-![Screenshot of toggle](/images/project/models-toggle.png)
+### Reading the matrix
 
-When enabled, you will see the following information in model rows of the **Annotation Summary** table:
+Cells are color-coded by agreement band:
 
-* **Agreement**: Average agreement between the model and all annotators.
-* **Ground truth**: Average agreement between the model and ground-truth (GT) tasks.
+- **Green** — High (≥ 66%)
+- **Yellow** — Moderate (33–66%)
+- **Red** — Low (< 33%)
 
-    If you click the link in the Ground Truth column of a model row, you are taken to a filter view of the Data Manager showing tasks with both a GT annotation and this model’s prediction.
-* **Predictions**: Average agreement between the model and all other models.
+Hover over any cell to see the agreement percentage and the number of tasks where both members annotated. If a **Ground Truth** column is present, it shows each member's agreement against the project's [ground truth](ground_truths.html) annotations.
 
-    If you click the link in the Predictions column of a model row, you are taken to a filter view of the Data Manager showing tasks with this model’s prediction plus at least one other model’s prediction.
+An **Avg** row at the bottom shows the average agreement per column across all members.
 
-Select or deselect model rows to include them in the **Annotator/Model Agreement Matrix**, were you can see model–annotator and model–model agreements.
\ No newline at end of file
+The participant filter (top right) applies to this tab — select specific annotators or model versions to narrow the matrix.
diff --git a/docs/source/guide/dashboard_project.md b/docs/source/guide/dashboard_project.md
deleted file mode 100644
index 6f0205578af6..000000000000
--- a/docs/source/guide/dashboard_project.md
+++ /dev/null
@@ -1,96 +0,0 @@
----
-title: Project dashboard
-short: Project dashboard
-tier: enterprise
-type: guide
-order: 0
-order_enterprise: 69
-meta_title: Project Dashboard
-meta_description: Use the project Dashboard to monitor performance and progress.
-section: "Project Management"
-parent: "dashboards"
-parent_enterprise: "dashboards"
-date: 2024-04-22 11:19:48
----
-
-> Review project progress, status, and data distribution in Project Performance Dashboards
-
-Manage project timelines, improve [resource allocation](setup_project#Annotation-settings), and [update training and instructions](project_settings_lse#Annotation) to increase the efficiency of your dataset development initiatives. Administrators, organization owners, and workspace managers can access project performance dashboards to gain a better understanding of the team’s activity and progress against tasks, annotations, reviews, and labels for each project.
-
-Navigate to your project’s Dashboard tab to discover the project’s progress at a holistic level and use the date time selector to discover trends for key performance indicators such as lead time or submitted annotations and to discover insights through time series charts for tasks, annotations, reviews, and label distributions.
-
-<img src="/images/FullDashboardPage.png" alt="" class="gif-border" />
-
-!!! info Tip
-    You can reorder charts using drag and drop. 
-
-## Review dataset progress
-
-The dataset progress bar displays the number of tasks considered to be fully annotated for the project and the number of tasks remaining to be annotated. If the project requires a minimum annotation per task of more than one, some tasks might not appear as “annotated” because they are not yet fully annotated by the project standards. [Learn more](/guide/setup_project.html#Set-minimum-annotations-per-task) about minimum annotation and task overlap settings.
-
-## Date Time Selector
-
-Choose from the list of preset time periods or define custom date ranges with or without a timestamp to update the KPI cards and time series charts and discover your project’s trends in performance and progress over time.
-
-<img src="/images/dateTimePicker.png" alt="" class="gif-border" />
-
-## Understand progress and identify bottlenecks
-
-Monitor your project’s key performance indicators to understand the progress and status of your dataset development initiatives. Make data-informed decisions for efficient resource allocation and update stakeholders on your project’s progress and milestones.
-
-<img src="/images/KPICarousel.png" alt="" class="gif-border" />
-
-Use the carousel to click through the KPI cards which you can drag and drop to keep the highest impact metrics front and center.
-
-- **Annotated Tasks**: Sum of annotated tasks depends on the “annotation tasks per minimum” setting under the project’s “Quality” tab (also called consensus or overlap settings). This card also displays the percentage of annotated tasks (annotated tasks divided by total tasks available for annotation at query time) and in the small numbers at the bottom of the card, it shows the skipped annotations count (if enabled), and the remaining number of annotations for the time period selected that have not yet met the criteria defined in the project’s consensus settings.
-
-- **Reviewed Annotations**: Sum of annotations reviewed depends on the selection chosen for “task is reviewed” found under “Reviewing Options” in the “Review” tab. The card also displays the number of rejected and accepted annotations by all reviewers for the time period selected.
-
-- **Submitted Annotations**: Sum of annotations that have been submitted at any point in their lifecycle including skipped and [empty annotations](/guide/setup_project.html#Set-annotating-options) if applicable. Pre-annotations also count as submitted annotations. The smaller KPI’s include “Skipped” annotations which will only have a count if the skipped button is available to annotators and this count depends on what actions are available which are determined in “skip queue” settings under the “Annotation” tab found in project settings. The small number: “Submitted Annotations” does not include skipped annotations, but it does include empty annotations if that is enabled.
-
-- **Regions Created**: Sum of regions across all annotations for the time period selected. Most labeling configurations will have regions (even text spans count as a region) and a relation also counts as a region. The card also displays the average number of regions per annotation as a small number.
-
-- **Remaining Tasks**: Sum of tasks left to be completed (for the time period selected) which is dependent on several project settings: quality overlap (consensus) settings, review options for tasks marked as reviewed, and skipped queue settings for annotators. This card also displays the total tasks available in the project (at that point in time) and the percentage of tasks completed for the project for the time period selected.
-
-- **Tasks Pending Review**: Remaining tasks that have not been reviewed for annotations submitted during the time period specified. This card also displays the annotation count for annotations submitted but not yet reviewed. When the Review Stream uses Random sampling with a configured Task limit (%), this KPI respects the same limit (it won’t exceed the remaining capacity defined by the limit).
-
-- **Lead Time**: The average time in hours it has taken to complete all annotations for the time period selected.
-
-- **Average Time Per Task**: The average time in minutes it has taken to complete all annotations required for a task (dependent on project settings) for the time period selected.
-
-- **Average Time Per Label**: The average time (sum of all annotations’ lead time divided by all annotations ) in seconds that it has taken to annotate a label for the time period selected.
-
-## Charts
-
-Each time series chart can be viewed as is or can be customized by clicking on the colored circle next to each metric’s name in the chart legend. For instance, click on “Annotated” in Task Chart to view only the reviewed tasks over time. You can also change the chart granularity for each chart using the dropdown menu which provides time range presets that are most appropriate for the time period selected in the date time selector. To reset the charts back to the default view, use the flyout menu next to the date time selector.
-
-<img src="/images/Charts.png" alt="" class="gif-border" />
-
-## Annotations distribution
-
-View annotations that have been reviewed, updated, submitted, and skipped during a specific time range to optimize resource allocation and training for increased throughput.
-
-For example, if you notice there is a high number of skipped annotations you can update the annotation instructions or perform retraining as necessary for your labeling team. If you see a gap between the number of submitted annotations and reviewed annotations you can either assign more reviewers to increase throughput or meet with reviewers to understand why they haven't kept up with annotation cadence.
-
-## Reviews distribution
-
-Understand details of reviews performed by analyzing the accepted, rejected, and updated states for annotations reviewed and compare with the annotations chart to identify gaps or spikes in activity.
-
-For example, if you have a high number of annotations that were submitted weeks ago and reviews that only started days ago there is an opportunity to identify why the review process was not started immediately upon submission of annotations.
-
-## Task distribution
-
-View the status and progress of reviewed and annotated tasks during a specific time range in order to understand if more annotators or reviewers should be assigned to the project.
-
-For example, if you notice a high discrepancy between tasks that have been reviewed versus tasks that have been annotated, you might want to assign more reviewers to the project to complete it by your deadline.
-
-## Label distribution
-
-View up to 30 labels that were used during annotation for the time period selected in a stacked bar chart to identify the distribution of labels at various levels of granularity over time. Use this chart to identify possible problems with your dataset distribution, such as an unbalanced dataset where some labels are overrepresented in an annotated dataset compared with others.
-
-For example, if you’re developing a dataset of OCR images, and 90% of your tasks have Text labels and 10% have Handwriting labels, you might want to increase the number of images of handwriting in your dataset, to improve the eventual accuracy of a machine learning model trained on this dataset.
-
-If you have a labeling configuration that contains multiple label groups, you will see a separate chart for each group showing the label counts within that group.
-
-!!! info Tip
-    From the menu in the upper right of each chart, select **Summary** to view a donut chart showing label distribution. 
\ No newline at end of file
diff --git a/docs/source/guide/dashboard_throughput.md b/docs/source/guide/dashboard_throughput.md
new file mode 100644
index 000000000000..be92737b951e
--- /dev/null
+++ b/docs/source/guide/dashboard_throughput.md
@@ -0,0 +1,52 @@
+---
+title: Throughput dashboard
+short: Throughput dashboard
+tier: enterprise
+type: guide
+order: 0
+order_enterprise: 70
+meta_title: Throughput dashboard
+meta_description: Use the Throughput dashboard to monitor project velocity, remaining work, and time spent.
+section: "Project Management"
+parent: "dashboards"
+parent_enterprise: "dashboards"
+date: 2026-06-29 00:00:00
+---
+
+> Track how quickly work is moving through a project and where bottlenecks are forming.
+
+The **Throughput** dashboard shows project velocity over time. Use it to monitor completed work, remaining work, and the time spent annotating and reviewing tasks.
+
+For data quality-focused metrics, see the [Data quality dashboard](dashboard_data_quality). For member-level productivity and agreement, see the [Members dashboard](dashboard_members).
+
+## Access the dashboard
+
+From the project, open the **Dashboard** tab and select **Throughput** from the dashboard navigation.
+
+## Filter by date range
+
+Use the date range filter to update the KPI cards and charts for the selected time period.
+
+If you include a precise time, the dashboard uses that timestamp when determining which task and work events fall within the range.
+
+## KPI cards
+
+The top of the dashboard shows summary cards for the selected date range.
+
+| KPI | Description |
+|-----|-------------|
+| **Tasks Done** | Number of tasks that reached the [Done state](project_states#Task-states) during the selected date range. |
+| **Avg Tasks Done / Day** | Average number of tasks completed per day in the selected date range. Calculated as Tasks Done / Days.|
+| **Total Time Spent** | Total time spent annotating and reviewing. Note: Annotation time uses active annotation time, as opposed to [lead time](dashboard_annotator#Annotations).
+| **Avg Time / Task** | Average time spent per Done task. Calculated as Total Time Spent / Tasks Done.|
+
+!!! note
+    Task state metrics are based on [project and task state management](project_states). If state tracking was enabled after some project work had already happened, earlier state transitions might not appear in the dashboard.
+
+## Throughput charts
+
+| Chart | Description |
+|-------|-------------|
+| **Remaining Tasks by State** | Stacked bar chart of tasks remaining in each state over time. A shrinking chart indicates work is progressing; a growing segment in one state suggests a bottleneck; a high number in review states suggests reviewers are not keeping pace with annotators. |
+| **Tasks Done / Day** | Number of tasks reaching the Done state per day. The same task may appear on multiple days if it is re-worked after reaching Done. Use it to track velocity and spot output changes after adjusting staffing, task instructions, review requirements, or project settings. |
+| **Time Spent** | Time spent over the selected period, split between annotation and review. Use it to understand how effort is distributed across work types over time. |
\ No newline at end of file
diff --git a/docs/source/guide/dashboards.md b/docs/source/guide/dashboards.md
index e02920df4b4e..efd156772daa 100644
--- a/docs/source/guide/dashboards.md
+++ b/docs/source/guide/dashboards.md
@@ -6,50 +6,46 @@ type: guide
 order: 0
 order_enterprise: 135
 meta_title: Dashboard in Label Studio
-meta_description: Use Label Studio dashboards to monitor performance and progress.
+meta_description: Use the project Dashboard tab to monitor project throughput, quality, and member performance.
 section: "Create & Manage Projects"
 ---
 
-You can use the Label Studio Enterprise dashboards to help visualize your labeling progress across projects and resources. 
+> Use project dashboards to monitor throughput, data quality, and member performance for a single project.
 
-See the following video for a brief overview of the analytics available in Label Studio Enterprise:
+The project **Dashboard** tab gives managers, administrators, and owners a project-level view of how work is moving, where quality issues are appearing, and how members are performing.
 
-<iframe width="560" height="315" src="https://www.youtube.com/embed/mkaLdrF1Pn8?si=jAqTUOyNu0lkw3E-" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
+Open a project and select **Dashboard** to access the project dashboards:
 
-### Project dashboard
+- **Throughput**: Track velocity, remaining work, and time spent.
+- **Data quality**: Analyze agreement, dimension-level quality, and label confusion.
+- **Members**: Review annotator, reviewer, and model performance within the project.
 
-The Project dashboard is a project-level analytics view that tracks overall progress and performance for a single labeling project. 
+## Choose a project dashboard
 
-It aggregates KPIs such as total annotations, lead time, average time per task, label distribution, and reviewed/accepted/rejected counts. Its purpose is to give managers and project owners a quick, data-driven way to monitor throughput, spot bottlenecks, and adjust staffing, timelines, or workflows to keep the project on track. 
+| Dashboard | Use it to |
+|-----------|-----------|
+| [**Throughput**](dashboard_throughput) | Understand whether the project is moving at the expected pace, where work is blocked, and how annotation and review time are trending. |
+| [**Data quality**](dashboard_data_quality) | Investigate agreement, confusion between labels, quality by dimension, and the tasks behind quality issues. |
+| [**Members**](dashboard_members) | Compare annotator, reviewer, and model performance, including agreement, review outcomes, time spent, and per-dimension performance. |
 
-Available to Managers, Administrators, and Owners.  
+## Access by user role
 
-For more information, see [Project dashboard](dashboard_project). 
+Project dashboards are available to users who can manage or monitor the project, such as Owners, Administrators, and Managers.
 
-<img src="/images/FullDashboardPage.png" alt="" class="gif-border" />
+Annotators and Reviewers generally do not use the project Dashboard tab. For individual work history across projects, see the [Member Performance dashboard](dashboard_annotator).
 
-#### Members dashboard
+## Filtering and drilldowns
 
-The Members dashboard is another project-level analytics page that shows how each annotator, reviewer, and (optionally) each model is performing on that project. It surfaces key metrics like inter‑annotator agreement, review/accept/reject patterns, lead time, and per‑member quality scores, plus an agreement matrix so you can compare people (and models) against one another. 
+Each project dashboard has filters that apply to the metrics on that page. Depending on the dashboard, you can filter by date range, task data, annotator, model, review outcome, ground truth status, labeling dimension, or label.
 
-Its purpose is to help managers quickly spot outliers, understand who is performing well or poorly, and make better decisions about assignments, training, and QA workflows. 
+Many cards, charts, and tables link to the Data Manager with relevant filters applied. Use these drilldowns to move from a summary metric to the exact tasks, annotations, predictions, or labels behind it.
 
-Available to Managers, Administrators, and Owners. 
+## Analytics dashboards
 
-For more information, see [Members dashboard](dashboard_members). 
-
-![Screenshot of Members Dashboard](/images/project/project_members_dashboard.png)
-
-
-### Member performance dashboard
-
-The Member Performance dashboard shows how a specific user is performing across one or more projects over a chosen time period. It summarizes their annotation and review activity, and lets you filter by date range, workspace, and project. 
-
-Its purpose is to help managers and individual contributors track productivity and quality over time so they can spot issues early, adjust staffing or training, and validate things like timesheets. 
-
-Available to all users, but the information available depends on your user role. 
-
-For more information, see [Member Performance dashboard](dashboard_annotator). 
-
-![Screenshot of annotator dashboard](/images/analytics/member-perf.png)
+Analytics dashboards are available from the main **Analytics** navigation and can include data across projects, workspaces, or individual members depending on your role.
 
+| Dashboard | Description |
+|-----------|-------------|
+| [**Projects overview dashboard**](dashboard_overview) | Monitor progress across multiple projects and workspaces. |
+| [**Label Distribution dashboard**](dashboard_distribution) | Compare annotation and prediction value distributions for project dimensions. |
+| [**Member Performance dashboard**](dashboard_annotator) | Review an individual member's annotation and review activity across projects. |
diff --git a/docs/source/guide/enterprise_features.md b/docs/source/guide/enterprise_features.md
index e971e1e9c5e2..4f2d7d519ab2 100644
--- a/docs/source/guide/enterprise_features.md
+++ b/docs/source/guide/enterprise_features.md
@@ -252,7 +252,7 @@ To learn how different team structures use agreement metrics to scale high-quali
  
 ### Project performance dashboards
 
-The [project dashboard](https://docs.humansignal.com/guide/dashboard_project) provides a high-level view of project status over time, including metrics like tasks completed, annotations submitted, reviews performed, label distribution, and lead times. Users can filter by date ranges and reorder visualizations to focus on key indicators.
+The [project dashboard](https://docs.humansignal.com/guide/dashboards) provides a high-level view of project status over time, including metrics like tasks completed, annotations submitted, reviews performed, label distribution, and lead times. Users can filter by date ranges and reorder visualizations to focus on key indicators.
 
 <img src="/images/FullDashboardPage.png" alt="" class="gif-border" />
 
diff --git a/docs/source/guide/label_studio_compare.md b/docs/source/guide/label_studio_compare.md
index aa31520037be..29afbb93124c 100644
--- a/docs/source/guide/label_studio_compare.md
+++ b/docs/source/guide/label_studio_compare.md
@@ -262,7 +262,7 @@ Label Studio is available to everyone as open source software (Label Studio Comm
     <td colspan="4" style="text-align:center"><b>Analytics and Reporting</b></td>
   </tr>
   <tr>
-    <td><b>Project dashboards</b><br/><a href="https://docs.humansignal.com/guide/dashboard_project">Dashboards for monitoring project progress.</a></td>
+    <td><b>Project dashboards</b><br/><a href="https://docs.humansignal.com/guide/dashboards">Dashboards for monitoring project progress.</a></td>
     <td style="text-align:center">❌</td>
     <td style="text-align:center">❌</td>
     <td style="text-align:center">✅</td>
@@ -349,7 +349,7 @@ Label Studio is available to everyone as open source software (Label Studio Comm
     <td style="text-align:center">✅</td>
   </tr>
   <tr>
-    <td><b>Label distribution charts</b><br/><a href="https://docs.humansignal.com/guide/dashboard_project#Label-distribution">Identify possible problems with your dataset distribution, such as an unbalanced dataset.</a></td>
+    <td><b>Label distribution charts</b><br/><a href="https://docs.humansignal.com/guide/dashboard_distribution">Identify possible problems with your dataset distribution, such as an unbalanced dataset.</a></td>
     <td style="text-align:center">❌</td>
     <td style="text-align:center">❌</td>
     <td style="text-align:center">✅</td>
diff --git a/docs/source/guide/quality.md b/docs/source/guide/quality.md
index cb33dfce0dc4..96694b5f4735 100644
--- a/docs/source/guide/quality.md
+++ b/docs/source/guide/quality.md
@@ -113,15 +113,15 @@ As an administrator or project manager, you can assign reviewers to tasks, or pe
 
 You can assign reviewers to multiple tasks at once, but you cannot remove reviewers from multiple tasks at once.
 
-## Review annotator activity on the project dashboard
+## Review project quality dashboards
 
-Use the project dashboard to review annotator activity. For a project, click **Dashboard** to view the dashboard.
+Use project dashboards to review annotator activity, agreement, and label distribution. For a project, click **Dashboard** to view project-level dashboards.
 
-If you don't see an annotator's activity reflected on the dashboard, make sure they have been added as a member to the project.
+If you don't see an annotator's activity reflected on a dashboard, make sure they have been added as a member to the project.
 
 ### Review label distribution
 
-For specific labels, you can see in a donut chart how many labels of each type were applied to the tasks. Use this chart to identify possible problems with your dataset distribution, if some labels are overrepresented in an annotated dataset compared with others.
+Use the [Label Distribution dashboard](dashboard_distribution) to see how labels and dimension values are distributed across annotations and predictions. Use this dashboard to identify possible problems with your dataset distribution, such as labels that are overrepresented in annotated data.
 
 For example, if you're developing a dataset of OCR images, and 90% of your tasks have **Text** labels and 10% have **Handwriting** labels, you might want to increase the number of images of handwriting in your dataset, to improve the eventual accuracy of a machine learning model trained on this dataset.
 
@@ -164,30 +164,30 @@ For more information, see [Plugins - Spam and Bot Detection](/plugins/pause_anno
 
 ## Verify model and annotator performance
 
-To verify the performance of specific annotators, review the **Members** section for a specific project. If you don't see an annotator's activity reflected, make sure they have been added as a member to the project.
+To verify the performance of specific annotators, review the [Members dashboard](dashboard_members) for a specific project. If you don't see an annotator's activity reflected, make sure they have been added as a member to the project.
 
 ### Review annotator performance
 
-For each project, you can review the project dashboard and review the Annotator Performance section to learn more about the annotators and their annotations, as well as overall annotator consensus.
+For each project, use the [Members dashboard](dashboard_members) to learn more about annotators, reviewers, models, review outcomes, and overall agreement.
 
-Discover how many annotators have worked on the project, and how many hours they cumulatively spent labeling. You can also see the total number of annotations produced by the annotators, separate from the total number of tasks in the project.
+Discover who has worked on the project, how many annotations and reviews they have completed, how much time they spent, and how their work compares against other annotators, ground truth annotations, or model predictions.
 
 Review a table to see the following for each annotator:
 
-- The total agreement for one annotator with all other annotators. See more about [how annotator agreement is calculated](stats.html).
-- The number of tasks that they finished annotating.
+- The total agreement for one annotator with other annotators. See more about [how annotator agreement is calculated](stats.html).
+- The number of tasks assigned, pending, submitted, or skipped.
 - The number of tasks that they skipped.
 - The outcome of reviews for the annotations they performed.
-- The total annotation progress across all tasks in the project.
-- The mean time to annotate the tasks. Select this header to view the `median time` instead. Mean time and median time are calculated using the total time spent on each task by an annotator, including idle time.
+- Their performance score and acceptance score.
+- Their average, median, and total time spent.
 - The agreement of their annotations with the ground truth annotations, if there are any.
 - The agreement of their annotations with predicted annotations, if there are any.
 
 ### Review annotator agreement matrix
 
-You can also review the overall annotator agreement on a more individual basis with the annotator agreement matrix.
+You can also review overall annotator agreement on a more individual basis with the [Members dashboard](dashboard_members) agreement matrix.
 
-Review the annotator agreement matrix to understand which annotator's annotations consistently agree with or don't agree with other annotator's annotations. You can also filter the matrix to show specific agreement statistics for each label, or view the **Overall** agreement matrix. See more about [how annotator agreement is calculated](stats).
+Review the agreement matrix to understand which annotator's annotations consistently agree with or don't agree with other annotator's annotations. You can filter the matrix by dimension and label, or include model versions when predictions are available. See more about [how annotator agreement is calculated](stats).
 
 To see the specific annotations contributing to the agreement, do the following:
 
@@ -198,7 +198,7 @@ To see the specific annotations contributing to the agreement, do the following:
 
 ### Review agreement distribution across tasks
 
-You can also review the distribution of agreement percentages across project tasks. A bar chart depicts the number of tasks with a specific agreement percentage. The more tasks with higher agreement, the higher quality your dataset is likely to be. Clusters of agreement percentages for specific tasks might mean that some tasks are easier to label than others, while other tasks are more confusing and difficult to label consistently.
+Use the [Data quality dashboard](dashboard_data_quality) to review the distribution of agreement percentages across project tasks. The more tasks with higher agreement, the higher quality your dataset is likely to be. Clusters of lower agreement scores might mean that some tasks are confusing, difficult to label consistently, or need clearer instructions.
 
 ## Review annotations against ground truth annotations
 
diff --git a/docs/source/guide/stats.md b/docs/source/guide/stats.md
index 6e74942233bc..89beb899d065 100644
--- a/docs/source/guide/stats.md
+++ b/docs/source/guide/stats.md
@@ -22,7 +22,8 @@ Agreement helps you determine the quality of your dataset, its readiness to be u
 
 You can view agreement in the following ways:
 - **Data Manager** - Displays per-task agreements and inter-annotator agreement for each task. See [Agreement columns in the Data Manager](manage_data#Agreement-columns). 
-- **Members Dashboard** - Displays an inter-annotator agreement matrix and agreement distribution. See [Members dashboard](dashboard_members). 
+- **Data quality dashboard** - Displays task agreement distribution, agreement by dimension, top confusion pairs, and a confusion matrix. See [Data quality dashboard](dashboard_data_quality).
+- **Members dashboard** - Displays a member and model agreement matrix. See [Members dashboard](dashboard_members).
 
 !!! note
     All agreement scores displayed in the Members Dashboard are calculated using the **Pairwise** methodology.
diff --git a/docs/themes/v2/source/images/project/project_members_dashboard.png b/docs/themes/v2/source/images/project/project_members_dashboard.png
index ed2a8562ca84..c9fd533bec79 100644
Binary files a/docs/themes/v2/source/images/project/project_members_dashboard.png and b/docs/themes/v2/source/images/project/project_members_dashboard.png differ