Creating Interactive Dashboards

Updated Dec 08, 2025 1 view
Dashboards Featured analysts
Summary: Build powerful analytics dashboards to visualize and explore your survey data

Creating Interactive Dashboards

Project Deku enables you to create powerful, interactive visualizations of your survey data for analysis and stakeholder reporting.

Dashboard System Overview

What Are Project Deku Dashboards?

Project Deku dashboards provide: - Real-time Visualization: Live data updates from survey submissions - Interactive Analysis: Filter, drill-down, and explore data dynamically - Multiple Chart Types: Bar charts, line graphs, maps, tables, and more - Responsive Design: Mobile-friendly and accessible across devices - Role-based Access: Appropriate views for different user types - Client Portal Integration: Anonymized views for external stakeholders

Creating Your First Dashboard

Step 1: Access Dashboard Creation

  1. Navigate to Dashboards Project Dashboard > Analytics > Create New Dashboard

  2. Dashboard Configuration

  3. Dashboard Name: Descriptive title (e.g., "Household Survey Analysis")
  4. Description: Purpose and target audience
  5. Visibility: Private, team, or public access
  6. Update Frequency: Real-time or scheduled refresh

Step 2: Select Data Sources

Available Data Sources: - Survey Forms: Data from connected ODK/KoBo forms - Validated Data: Data that has passed validation rules - Cleaned Data: Data processed through cleaning workflows - Aggregated Data: Pre-computed summary statistics - Historical Data: Time-series data for trend analysis

Step 3: Add Visualizations

Chart Types Available

Statistical Charts - Bar Charts: Categorical data comparison - Line Charts: Trends and time-series data - Pie Charts: Proportional data representation - Histograms: Data distribution analysis - Box Plots: Statistical distribution with outliers - Scatter Plots: Correlation and relationship analysis

Geographic Visualizations - Choropleth Maps: Geographic data intensity - Point Maps: Location-based data points - Heat Maps: Density and concentration visualization - Boundary Maps: Administrative region visualization

Tabular Data - Summary Tables: Aggregated statistics - Detailed Tables: Record-level data with pagination - Cross-tabulations: Multi-dimensional data analysis - Pivot Tables: Dynamic data summarization

Step 4: Configure Interactivity

Filter Controls

Add interactive filters for dynamic data exploration:

Date Range Filter: - Filter data by submission date, interview date, or custom date fields - Preset options: Today, This Week, This Month, Custom Range - Real-time chart updates as date range changes

Categorical Filters: - Dropdown menus for single/multiple selection - Checkbox groups for multiple category selection - Radio buttons for exclusive category selection - Auto-complete search for large category lists

Step 5: Dashboard Layout and Design

Layout Options

Grid Layout: - Responsive grid system with drag-and-drop positioning - Flexible sizing: small (1x1), medium (2x1), large (2x2), full-width - Automatic responsive adjustments for mobile devices

Design Customization - Predefined color palettes for consistency - Custom brand colors for organizational alignment - Accessibility-compliant color choices - Color-blind friendly options

Advanced Dashboard Features

Client Portal Integration

Anonymized Data Views: Project Deku automatically creates client-appropriate dashboard views:

  • Data Anonymization: Automatic removal of personally identifiable information
  • Aggregated Views: Summary statistics instead of individual records
  • Restricted Access: Limited to approved data and visualizations
  • Custom Branding: Client-specific styling and logos

Best Practices

Dashboard Design Principles

  1. User-Centered Design
  2. Understand your audience and their information needs
  3. Design for the primary use case while supporting secondary needs
  4. Prioritize the most important information prominently
  5. Use consistent navigation and interaction patterns

  6. Performance Considerations

  7. Limit the number of visualizations per dashboard page
  8. Use appropriate aggregation levels for large datasets
  9. Implement efficient filtering and pagination
  10. Monitor and optimize query performance

Your interactive dashboards are now ready to provide powerful insights into your survey data!

Was this article helpful?
Be the first to rate this article
Leave Detailed Feedback
Article Actions
Category Info
Dashboards

Create interactive dashboards and visualizations

View All Articles