Analytics Overview
The platform offers four main analytics sections:Central Dashboard
High-level KPIs and real-time metrics for quick status checks
Analíticas
Deep-dive analytics with charts, trends, and performance breakdowns
Weekly Report
Executive summary of weekly activity, perfect for stakeholder updates
Question Analytics
Granular analysis of individual questions to identify learning gaps
Central Dashboard
Understanding Key Metrics
Access the Dashboard
From the sidebar, click on the Dashboard or home icon to view the central dashboard.
Review Executive KPIs
The dashboard displays 4-6 key performance indicators:Total Users: Number of registered participants
- Trend indicator shows growth/decline
- Compare to previous period
- Typically defined as activity in last 7-30 days
- High active user % indicates good engagement
- Formula: (Users Started / Total Users) × 100
- Target: >70% for successful campaigns
- Shows overall learning effectiveness
- Target: >70% for most dilemmas
- Based on failure rates on critical questions
- Higher = more organizational risk detected
KPIs update in real-time as users complete sessions. Check daily during active campaigns.
Dashboard Filters
Customize the dashboard view:- Client Filter: Admin users can filter to specific clients
- Date Range: Focus on specific campaign periods
- Dilemma Filter: Isolate specific games
Comprehensive Analytics (Analíticas)
The Analíticas section provides the deepest insights across three main areas.1. Participation & Engagement
Activity Over Time (Line Chart)
Activity Over Time (Line Chart)
What It Shows: Daily session volume over the selected date rangeHow to Use:
- Identify peak activity days (shows when users are most engaged)
- Spot declining trends (may need re-engagement campaign)
- Correlate spikes with internal communications (prove effectiveness)
- Campaigns typically peak 2-3 days after launch
- Reminder emails should trigger visible spikes
- Flat/declining lines indicate need for intervention
Hourly Usage Patterns (Bar Chart)
Hourly Usage Patterns (Bar Chart)
What It Shows: Number of sessions by hour of day (0-23)How to Use:
- Identify when users prefer to engage
- Schedule reminder emails before peak hours
- Avoid maintenance during high-traffic periods
- 9-11am: Morning productivity peak
- 1-3pm: Post-lunch engagement
- After 5pm: Minimal activity (users prefer work hours)
Business dilemmas are rarely completed outside work hours, unlike consumer gaming. Time communications accordingly.
Weekday Distribution (Bar Chart)
Weekday Distribution (Bar Chart)
What It Shows: Sessions by day of week (Monday-Sunday)How to Use:
- Understand weekly engagement patterns
- Launch campaigns early in week for maximum reach
- Avoid sending invitations on Fridays
- Tuesday-Thursday: Highest engagement
- Monday: Lower (catch-up from weekend)
- Friday: Lowest (weekend mentality)
- Weekend: Near-zero for B2B contexts
Top Users with Highest Engagement
Top Users with Highest Engagement
What It Shows: Top 5 users by number of sessions completedHow to Use:
- Recognize and reward top performers
- Identify potential champions for future campaigns
- Understand characteristics of highly engaged users (role, department, etc.)
- Send thank-you emails to top users
- Request testimonials
- Ask if they’d promote to colleagues
- Consider them for early access to new dilemmas
2. Learning & Performance
Distribution by Category (Donut Chart)
Distribution by Category (Donut Chart)
What It Shows: Percentage of questions by category (Ethics, Compliance, etc.)How to Use:
- Ensure balanced coverage of topics
- Identify over/under-represented areas
- Plan content creation for gaps
- Balanced distribution = comprehensive training
- Heavy weighting in one category = focused campaign
- Use to demonstrate coverage to clients
Performance by Dilemma (Horizontal Bar Chart)
Performance by Dilemma (Horizontal Bar Chart)
What It Shows: Average score for each dilemmaHow to Use:
- Compare dilemma effectiveness
- Identify which scenarios drive best learning
- Flag dilemmas that may be too easy/hard
- <50%: Too difficult or poorly designed
- 50-75%: Good challenge level
- 75-90%: Appropriate difficulty
- >90%: May be too easy (not driving learning)
Score Distribution (Pie Chart)
Score Distribution (Pie Chart)
What It Shows: How users’ scores are distributed across ranges (0-20%, 20-40%, etc.)How to Use:
- Understand overall performance spread
- Identify if most users are succeeding or struggling
- Segment follow-up interventions
- Small % in 0-40% (few failing)
- Majority in 60-80% (most learning)
- Some in 80-100% (high performers)
- Large % in 0-40%: Content too hard or not relevant
- Everyone in 80-100%: Content too easy
Competency Map / Radar Chart
Competency Map / Radar Chart
What It Shows: Performance across different skill areas (Ethics, Decision-Making, Compliance, etc.)How to Use:
- Identify organizational strengths and weaknesses
- Target training to specific competency gaps
- Track improvement over time by comparing period-over-period
- Unbalanced radar = specific training needs
- Small radar area = overall low competency (need fundamental training)
- Large radar area = strong ethical foundation
Performance by Area / Department
Performance by Area / Department
What It Shows: Average score segmented by organizational areaHow to Use:
- Compare departmental performance
- Identify which teams need additional support
- Share successes and best practices across areas
- Is IT content less relevant to their roles?
- Does IT need different dilemmas?
- Can Sales leaders share engagement tactics with IT?
Time by Category (Bar Chart)
Time by Category (Bar Chart)
What It Shows: Average time users spend on each category of questionsHow to Use:
- Understand which topics are most complex (longer time)
- Identify areas where users rush (may need emphasis)
- Optimize dilemma length by removing time-consuming but low-value questions
- Longer time doesn’t always = better learning
- Very short time may indicate guessing
- Optimal: 30-90 seconds per question
3. Risk Analysis
Top Risk Questions Table
Top Risk Questions Table
What It Shows: Questions with highest failure rates, especially critical onesColumns:
- Question: The scenario/question text
- Category: Topic area (Ethics, Compliance, etc.)
- Failures: Number of users who answered incorrectly
- Error Rate: Percentage who got it wrong
- Risk Level: Impact assessment (High/Medium/Low)
- Identify Training Gaps: High error rates = users don’t understand this topic
- Flag Compliance Risks: Critical questions with high failure = real organizational risk
- Improve Content: If error rate >50%, question may be unclear (rewrite or replace)
- Plan Interventions: Create targeted training for high-risk categories
- Generate list of users who failed critical questions
- Require re-training or manager conversation
- Consider policy reminders or process changes
- Track improvement in subsequent campaigns
Using Filters in Analíticas
Maximize insight by combining filters:Set Date Range
- Start Date: Beginning of campaign or analysis period
- End Date: Current date or campaign end
Filter by Client
For multi-client admins:
- Select specific client to isolate their data
- Leave blank to see aggregate across all clients
Filter by Dilemma
Focus on specific game:
- Evaluate individual dilemma performance
- Compare user behavior across different formats (Angel/Demon vs Millonario)
Weekly Report
The Weekly Report section provides an executive-friendly summary perfect for stakeholder communication.Understanding Weekly KPIs
Review Summary Metrics
The top KPI cards show:Sessions: Total sessions started this week
- Compare to previous weeks to track momentum
- More important than total sessions (user reach)
- Track learning effectiveness week-over-week
- Completion Rate % shows engagement quality
- Prime targets for re-engagement emails
Analyze Daily Activity Chart
The bar chart shows sessions per day over the report period:
- Spikes: Correspond with reminders, deadlines, or promotions
- Valleys: Weekends, holidays, or lack of communication
- Trend: Is activity increasing, stable, or declining?
A healthy campaign shows steady or increasing activity. Declining activity requires intervention.
Review Top Lists
Three ranking lists provide quick insights:Top Dilemmas: Most-played games this week
- Shows which content resonates
- Consider promoting similar content
- Recognize engaged organizations
- Learn best practices to share with others
- Track onboarding effectiveness
- Correlate with client expansion efforts
Sending Weekly Reports via Email
Configure Report Period
Use date range filters to set the reporting period:
- Default: Last 7 days
- Custom: Any start/end date range
Preview Report
Click “Ver HTML” to preview the email version:
- See exactly what recipients will receive
- Includes all charts and data tables
- Formatted for easy reading in email clients
Send to Stakeholders
- Click “Enviar por Email” button
- Enter recipient emails (comma-separated):
[email protected], [email protected], [email protected] - Review the summary message
- Click “Enviar”
The system sends a professionally formatted HTML email with all KPIs, charts, and insights. Recipients can forward to their teams.
Customizing Weekly Reports
Best Practices:- Add a personal message summarizing key insights
- Highlight 2-3 main takeaways
- Include specific recommendations or next steps
- Celebrate wins (high scores, increased participation)
- Address concerns proactively (low engagement, risk areas)
Question Analytics (Analítica Transversal)
For granular analysis of individual questions:Apply Filters
Filter to focus your analysis:
- Client: Specific organization
- Dilemma: Specific game
- Difficulty: High/Medium/Low based on performance
- Search: Find questions by text
- Order By: Sort by error rate, attempts, difficulty, etc.
Analyze Question Table
The table shows for each question:
| Column | Meaning | Action Threshold |
|---|---|---|
| Question | Text of the scenario | Look for critical indicator (red dot) |
| Client | Organization | Filter for client-specific analysis |
| Dilemma | Which game | Compare across games |
| Attempts | How many times answered | Low attempts = not enough data |
| Success Rate | % answered correctly | <60% = potential issue |
| Error Rate | % answered incorrectly | >40% = review needed |
| Difficulty | Calculated difficulty level | Track if aligns with intent |
Identify Problematic Questions
Sort by Error Rate (descending) to find:High Error Rate (>50%):
- Question may be ambiguous
- Correct answer may be wrong
- Topic may need better explanation
- Users genuinely don’t understand concept
Question Performance Deep Dive
Drilling Down to Individual Responses
Drilling Down to Individual Responses
For any question of concern:
- Click “Detalle” next to the question
- View all user responses:
- Who answered correctly vs incorrectly
- Which wrong answers were chosen (reveals misconceptions)
- Time spent on question (too fast = guessing)
- Identify patterns:
- All users in specific department failing?
- Certain demographics struggling?
- One wrong answer chosen by everyone? (may be written ambiguously)
- Take action:
- Rewrite question for clarity
- Provide additional training on topic
- Follow up with users who failed
Exporting Data for Advanced Analysis
All major sections offer CSV export:Configure Filters First
Before exporting, set filters to get exactly the data you need:
- Client(s)
- Date range
- Dilemma(s)
- Specific segments
Click Export Button
Look for “Exportar CSV” or “Exportar a Excel” buttons:
- Clientes: Export client metrics
- Usuarios: Export user progress data
- Preguntas: Export question performance
- Analíticas: May export chart data
Open in Spreadsheet Tool
The CSV file can be opened in:
- Microsoft Excel
- Google Sheets
- Data analysis tools (Python, R, Tableau, etc.)
Perform Advanced Analysis
Common analyses:
- Pivot Tables: Cross-tab any dimensions (Area × Score, Dilemma × Completion Rate)
- Trend Analysis: Plot time-series of engagement or scores
- Cohort Analysis: Compare user groups (early adopters vs late, high performers vs low)
- Regression: Identify factors predicting success (department, time spent, etc.)
Creating Client-Facing Reports
Monthly Business Review Template
Executive Summary Slide Deck Structure
Executive Summary Slide Deck Structure
Slide 1: Overview
- Campaign name and period
- Total users invited vs completed
- Overall completion rate and average score
- Screenshot of dashboard with KPIs
- Participation rate trend (week-by-week)
- Activity over time chart
- Top engaged departments/areas
- Recognition of top performers
- Average scores by dilemma
- Performance by department (bar chart)
- Competency radar showing strengths/gaps
- Score distribution
- Critical questions with high failure rates
- Categories needing attention
- Specific recommendations for follow-up training
- Action plan for next period
- Testimonials from participants
- Behavior change anecdotes
- Certificates issued
- Next steps and future campaigns
Data Storytelling Best Practices
Benchmarking and Targets
Industry Benchmarks
Compare your metrics to typical performance:| Metric | Poor | Average | Excellent |
|---|---|---|---|
| Participation Rate | <50% | 50-70% | >70% |
| Completion Rate | <40% | 40-60% | >60% |
| Average Score | <60% | 60-75% | >75% |
| Time to Complete | >30 min | 15-30 min | <15 min |
| Re-engagement Success | <10% | 10-20% | >20% |
Benchmarks vary by industry, organization size, and content difficulty. Track your own historical performance as the best comparison.
Setting SMART Goals
For each campaign, establish specific targets: Example:- Specific: Achieve 75% completion rate
- Measurable: Track in Usuarios section weekly
- Achievable: Based on 65% in last campaign
- Relevant: Aligns with client’s L&D objectives
- Time-bound: Within 4-week campaign window
Troubleshooting Analytics Issues
Data Not Updating in Real-Time
Data Not Updating in Real-Time
Possible Causes:
- Browser cache
- Database caching
- Server processing delay
- Hard refresh browser (Ctrl+Shift+R / Cmd+Shift+R)
- Wait 5-10 minutes for batch processing
- Clear browser cache and cookies
- Try in incognito/private window
Charts Not Displaying
Charts Not Displaying
Possible Causes:
- JavaScript errors
- Chart.js library not loading
- Ad blocker interference
- Check browser console for errors (F12 → Console)
- Disable ad blockers/privacy extensions
- Try different browser
- Ensure JavaScript is enabled
Export CSV Contains Unexpected Data
Export CSV Contains Unexpected Data
Possible Causes:
- Filters not applied before export
- Encoding issues with special characters
- Re-apply filters and export again
- Open CSV with UTF-8 encoding
- Use Excel’s “Get Data from Text/CSV” with proper encoding
Next Steps
Master Admin Workflow
See how analytics fit into your complete administrative process
Improve User Engagement
Use insights to optimize user participation and completion
Refine Dilemma Content
Apply analytics to improve question quality and difficulty
Onboard More Clients
Use proven analytics to demonstrate value to new clients