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Overview

Konstantly provides comprehensive reporting and analytics tools to help you track learner progress, assess course effectiveness, and make data-driven decisions about your training programs. The platform offers statistics at multiple levels: course, group, user, and global.

Analytics Hierarchy

Course Statistics

Track performance metrics for individual courses including:
  • Overall completion rates and average scores
  • User progress distribution
  • Test and homework performance
  • Skills assessment results
  • Survey feedback and poll responses
Learn more about Course Statistics →

Group Statistics

Monitor group performance and identify trends across teams:
  • Member categorization (Leaders, Achievers, Laggers, Beginners, Inactive)
  • Leaderboard comparisons
  • Group completion trends over time
  • Active vs inactive member tracking
  • Group hierarchy management
Learn more about Group Statistics →

User Statistics

Review individual learner progress and competencies:
  • Personal course completion and scores
  • Unstarted and in-progress courses
  • Homework assignments and grades
  • Skills assessment and competency tracking
  • Expert review assignments
Learn more about User Statistics →

Global Statistics

View platform-wide metrics and system health:
  • Total courses, users, and groups
  • System-wide leaderboards
  • Course creation and assignment trends
  • Inactive users and unassigned courses
  • User filtering and segmentation
Learn more about Global Statistics →

Key Features

Data Export

Export any statistical data as CSV files for deeper analysis in spreadsheet applications or business intelligence tools.

Real-time Updates

Statistics update in real-time as learners complete courses, submit assignments, and take assessments.

Visual Analytics

Interactive graphs and charts help you quickly identify trends, patterns, and areas needing attention:
  • Progress distribution graphs
  • Results distribution charts
  • Performance comparisons
  • Time-series trends

Filtering and Segmentation

Filter and segment data to focus on specific:
  • User roles
  • Registration periods
  • Group sizes
  • Completion statuses

Common Use Cases

Training Manager

  • Monitor team completion rates
  • Identify struggling learners
  • Track skill development across organization
  • Generate compliance reports

Course Author

  • Assess course difficulty through average scores
  • Identify problematic questions or sections
  • Review learner feedback from surveys
  • Optimize content based on performance data

Administrator

  • Track platform adoption and engagement
  • Allocate resources based on usage patterns
  • Identify inactive users for re-engagement
  • Monitor system-wide performance metrics

HR Professional

  • Track employee certification status
  • Generate training completion reports
  • Assess department-wide competencies
  • Plan future training initiatives

Best Practices

  • Review regularly: Check statistics weekly to identify issues early
  • Set benchmarks: Establish target metrics for completion rates and scores
  • Compare over time: Track trends to measure improvement
  • Act on insights: Use data to improve courses and support learners
  • Export strategically: Download data for board meetings or compliance reports
  • Focus on outliers: Pay attention to unusually high or low performance
  • Balance metrics: Don’t rely solely on scores; consider engagement and completion rates

Getting Started

  1. Start with Course Statistics to understand individual course performance
  2. Review Group Statistics to identify team trends
  3. Check User Statistics for learners who need support
  4. Use Global Statistics for high-level system insights
  5. Export data regularly for record-keeping and deeper analysis
Combine multiple statistics views to get a complete picture. For example, if course statistics show low average scores, check user statistics to see if specific learners need help, or review group statistics to identify team-wide training gaps.
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