> For the complete documentation index, see [llms.txt](https://docs.digit.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.digit.org/health/access/public-health-product-suite/campaign-management-dashboard/smc-dashboard/smc-dashboard-user-manual.md).
# SMC Dashboard User Manual
## Steps
* Enter the **dashboard URL** in the browser.
* On the **language selection screen**, choose your preferred language and click **Continue**.
* Enter your **credentials** on the Login page and click **Continue** to access the dashboard.
* The home page lists the campaign dashboards.
* Click on the Dashboard. If you are logged in as a National Supervisor, the landing page shows the national overview page.
* To navigate to a sub-national level dashboard, click on the View Dashboard button next to the sub-national boundary name.
## Modules
The dashboard is divided into several tabs based on campaign modules: Registration & Delivery, Inventory, Complaints, Supervision, Team Performance, Data Quality, and Referral and Side Effects.
## Features
### Date Filters
Each page includes **date filter options** to view campaign data:
* **Specific Date Range** – Select start and end dates.
* **Today’s Data** – View data recorded for the current day.
* **Cumulative Data** – View data accumulated since the start of the campaign.
### Campaign Progress
1. At the top of each page, a **progression line** shows the **number of days** since the campaign started.
2. Use this to quickly track the campaign’s **timeline and progress**.
### Filter By Cycle
1. Use the **Filter by Cycle** option to view data for a **specific treatment cycle** in the Seasonal Malaria Chemoprevention (SMC) campaign.
2. Since children receive treatment across multiple cycles, this filter allows you to:
* Focus on **performance and coverage** for a particular cycle
* Track progress and **identify gaps** in the campaign
### Drill-Down Bar Charts
1. Click on any **bar** in the chart to **drill down** into sub-boundaries.
2. Continue drilling down until you reach the **lowest level** (e.g., a village).
3. To return to the **previous view**, click the **'×' button**.
### Drill-Down Table Charts
1. Click on any **boundary** in the table to **drill down** into sub-boundaries.
2. Continue drilling down until you reach the **lowest level** (e.g., a village).
3. To return to the **previous view**, click the **'×' button**.
### Drill-Down Pie Charts
1. Click on any **slice** in the pie chart to **drill down** into sub-categories or data split across sub-boundaries.
2. To return to the **previous view**, click the **'×' button**.
### Prediction Line Chart
1. The **Prediction Line Chart** estimates the number of **additional days** required to reach the **target coverage**.
2. This estimate is based on the **current service delivery rates**, helping to plan and adjust campaign efforts.
### Geocoordinate Maps
* The system uses **geographic coordinates** from completed checklists to monitor:
* **Distributor coverage**
* **Supervisor performance**
* On a **zoomed-out map**, coordinates are grouped into **clusters** for easier viewing.
* Click on a **cluster** to see details, including:
* Total number of points in the cluster
* Information about the supervisors who recorded the data
* This allows users to **track performance and coverage** across different areas efficiently.
### Side-by-Side Comparative Bar Charts (2 Variables)
* **Purpose:** These charts allow a **clear comparison between two distinct variables**, making it easier to identify differences and trends.
* **Use Cases:**
* Compare **coverage by gender** relative to population distribution.
* Compare **expected stock levels** vs. **actual stock balance**.
* **Benefits:**
* Provides a clear view of **inventory management**.
* Helps supervisors identify **discrepancies**, such as potential **shortages** or **overstocking**, ensuring campaign needs are met.
### Side-by-Side Bar Charts (More Than 2 Variables)
* **Purpose:** Display **multiple relevant variables simultaneously** in a single chart for comprehensive analysis.
* **Use Cases:**
* Compare **age categories**
* Analyse **referral summaries**
* Track **stock movements**
* **Benefits:**
* Enables supervisors to **compare and analyse data across different dimensions** quickly.
* Facilitates faster identification of **trends, patterns, or areas requiring attention**.
### Stacked Bar Charts
* **Purpose:** Stacked bar charts visualise the **distribution of data across multiple variables**, enabling easy comparison and analysis.
* **Use Cases:**
* Display the number of **complaints filed** within each operational boundary (e.g., district), grouped by type or status (pending, resolved, rejected).
* Show **types of side effects** recorded during a campaign, with categories stacked vertically for each boundary.
* **Benefits:**
* Easily identify **trends** and compare **performance across regions or cycles**.
* Pinpoint areas requiring **further attention or intervention**.
* Provides a **clear comparative view** to support **data-driven decisions** and enhance campaign efficiency.
### Venn Diagram for Inter-Cycle Analysis
* **Purpose:** The Venn diagram visually represents the **overlap and distribution** of children treated across different campaign cycles.
* **Details Displayed:**
* **Cycle 1:** Children treated in the first cycle
* **Cycle 2:** Children treated in the second cycle
* **Overlap:** Children who received treatment in **both cycles**
* **Benefits:**
* Identify the **extent of coverage** across cycles
* Ensure children needing **multiple rounds of treatment** are accounted for
* Highlight **treatment gaps and overlaps** to support efficient campaign management and decision-making
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