Insight Hub
The Insight Hub is your central command center for research intelligence. It brings together analytics, visualizations, and AI-powered insights from across your systematic reviews and research projects.
Overview
The Insight Hub provides a unified view of your research landscape, helping you understand patterns, track progress, and make data-driven decisions about your evidence synthesis work.
| Feature | Description | Benefit |
|---|---|---|
| Analytics Dashboard | Real-time metrics and KPIs | Monitor review progress at a glance |
| Trend Analysis | Publication and citation trends | Identify emerging research areas |
| Quality Metrics | Risk of bias summaries | Assess evidence quality quickly |
| Team Performance | Collaboration statistics | Optimize team workflows |
Dashboard Components
1. Review Progress Overview
Track the status of all your systematic reviews in one place:
- Active Reviews: Currently in progress with completion percentages
- Pending Actions: Items requiring your attention
- Recent Activity: Latest updates across all projects
- Milestone Tracking: Key deadlines and achievements
2. Evidence Landscape
Visualize your research evidence through interactive displays:
| Visualization | What It Shows |
|---|---|
| Heat Maps | Study distribution by topic, year, or region |
| Bubble Charts | Study characteristics and quality indicators |
| Timeline Views | Publication trends over time |
| Geographic Maps | Study locations and populations |
3. Quality Summaries
Aggregate quality assessments across your reviews:
- Risk of Bias Distribution: Overall RoB across included studies
- GRADE Certainty: Evidence certainty by outcome
- Quality Trends: How quality varies by publication year
- Methodological Patterns: Common strengths and limitations
Key Features
AI-Powered Insights
The Insight Hub uses artificial intelligence to surface important patterns:
Smart Alerts: Receive notifications when the AI detects significant patterns, anomalies, or opportunities in your research data.
Automated Insights Include:
- Unexpected clustering of study findings
- Potential publication bias indicators
- Underrepresented populations or interventions
- Emerging research themes
Comparative Analytics
Compare metrics across multiple reviews:
| Metric | Comparison Capability |
|---|---|
| Screening efficiency | Time per study, agreement rates |
| Data extraction accuracy | Inter-rater reliability |
| Review timelines | Phase durations, bottlenecks |
| Team productivity | Individual and group statistics |
Custom Dashboards
Create personalized views for different needs:
- Researcher View: Focus on methodology and findings
- Manager View: Emphasis on timelines and resources
- Executive View: High-level summaries and KPIs
- Auditor View: Quality assurance and compliance
Using the Insight Hub
Getting Started
- Navigate to Knowledge Suite → Insight Hub
- Select the reviews to include in your dashboard
- Choose your preferred visualization layout
- Configure alert preferences for AI insights
Customizing Your View
Widgets Available:
- Progress bars and completion metrics
- Interactive charts and graphs
- Data tables with sorting and filtering
- AI insight cards
- Quick action buttons
Layout Options:
- Drag-and-drop widget arrangement
- Collapsible sections
- Full-screen focus mode
- Multiple saved layouts
Exporting Insights
Export your analytics for presentations and reports:
| Format | Best For |
|---|---|
| Formal reports and documentation | |
| PowerPoint | Presentations to stakeholders |
| CSV/Excel | Further analysis in spreadsheets |
| Images | Embedding in manuscripts |
Best Practices
Effective Dashboard Use
- Regular Check-ins: Review the dashboard daily during active reviews
- Set Meaningful Alerts: Configure notifications for important thresholds
- Compare Across Projects: Use comparative views to identify best practices
- Share with Stakeholders: Export views for team meetings and reporting
Acting on Insights
When the AI surfaces insights:
- Investigate Anomalies: Dig deeper into unexpected patterns
- Document Decisions: Record rationale for methodology choices
- Adjust Strategies: Modify approaches based on efficiency data
- Celebrate Progress: Acknowledge team achievements shown in metrics