A comprehensive overview of Virti's Analytics, helping you navigate and utilize the data captured through the learner journey.
Training data analysis can be complex, subjective, and time-consuming. Virti Analytics addresses these challenges by using AI insights, behavior data, sentiment analysis, and learner feedback to transform subjective data into objective metrics. This enhances evaluation accuracy, facilitates continuous improvement, and optimizes learner performance. With clear, understandable insights, and both qualitative and quantitative data, you can make informed decisions to improve training programs efficiently and drill into learner data to actively support individuals and personalize learner journeys.
Designed to enhance the learning and development experience, Virti's Analytics provides detailed insights into user performance and engagement. Real-time data enables educators, trainers, and administrators to monitor progress, identify strengths and weaknesses, and tailor training programs to meet the specific needs of users. Learners benefit by making instant changes, focusing on areas needing improvement, and capitalizing on their strengths as they progress.
With clear, understandable insights and access to both qualitative and quantitative data, you can make informed decisions to improve training programs efficiently and personalize learner journeys to actively support individual growth.
Data is automatically captured during simulations, in conversations with Virtual Humans, as part of courses, and when feedback forms are completed.
1. Performance tracking
Virti allows you to track individual and group performance across various metrics. You can monitor:
Completion rates: See how many users have completed a particular module or course.
Scores and results: Access detailed scores for quizzes, assessments, and practical tasks.
Time Spent: Measure the time users spend on each module or activity.
2. Engagement monitoring
Engagement metrics help you understand how users interact with the content. Key metrics include:
Active participation: Track how actively users engage with interactive elements.
Session frequency: Monitor how often users log in and engage with the platform.
Drop-off points: Identify where users tend to disengage or drop off in the learning process.
3. Feedback and assessment analysis
Collect and analyze feedback from users to improve content and delivery. This includes:
Survey responses: Analyze responses from post-training surveys and feedback forms.
Self-assessments: Review user self-assessment results to gauge confidence and self-perceived competence.
Sentiment analysis: Use sentiment analysis to interpret the emotional tone and delivery of information, providing deeper insights into learner competencies and areas for improvement.
4. Customizable reports
Generate detailed reports tailored to your specific needs. Customizable options include:
Report templates: Use predefined templates for common reporting needs.
Custom metrics: Create reports based on custom-defined metrics relevant to your organization.
Export options: Export reports in various formats, including PDF, Excel, and CSV.
5. User segmentation
Segment users based on various criteria to gain more granular insights. Segmentation options include:
Demographics: Filter by age, gender, location, and other demographic factors.
Role/Position: Segment by job role, department, or seniority level.
Performance tiers: Group users based on performance tiers (e.g., top performers, mid-level, struggling users).
6. Advanced insights
Gain deeper insights with advanced features such as:
Eye tracking: Monitor where users focus their attention, helping to understand engagement and usability issues.
AI insights: Utilize AI to uncover patterns and trends that may not be immediately obvious, providing actionable recommendations for improving training programs.
Regular Monitoring
Schedule regular check-ins to review analytics data and keep track of ongoing performance and engagement.
Data-Driven Adjustments
Use the insights gained from analytics to make informed adjustments to training programs, ensuring they meet user needs and improve learning outcomes.
Continuous Improvement
Collect feedback not just from the analytics data but also directly from users to continuously improve the training content and delivery.
Collaboration
Share insights and reports with team members and stakeholders to foster a collaborative approach to improving training effectiveness.
Analytics can be easily accessed via the main navigation on the left of your screen whilst using the Virti app.
Simply select the Analytics tab on the left of your screen whilst using the Virti app.
You can manage user access under the specific the Virti Users tab [LINK].
Learners - Will not be able to access analytics.
Content Creators - Can view all analytics data.
Admins - Can view all analytics data.
For admin users and content creators, see this article on How to view and use Virti Analytics.
Need more help? Get support from our Virti Support Team via support@virti.com
