Learning performance is often inferred from completion rates, surveys, or anecdotal feedback.
REACHUM enables a more rigorous evaluation—using behavioral and engagement data to show where learning succeeds, where it breaks down, and where intervention matters.
This evaluation experience is designed to support informed decision-making, not sales pressure.
What You Can Evaluate:
• Engagement patterns across learning content
• Knowledge reinforcement and breakdowns at the page level
• Learner persistence, hesitation, and disengagement
• Video attention and replay behavior
• Signals that indicate confidence vs uncertainty
This evidence helps distinguish what learners learners understand from what they have simply completed, and indicates what messages need reinforcement.
Learning performance data can be integrated with enterprise analytics platforms such as Tableau, Power BI, and Looker Studio, allowing learning performance to be reviewed alongside other business metrics.
Choose How You'd Like to Evaluate
Option 1 - Review Analytics Framework (Recommended for first-time evaluation)
Review the analytics and reporting model used to evaluate learning performance in REACHUM, including how engagement, comprehension, and performance signals are surfaced.
You'll see:
• The types of behavioral reports available
• How knowledge gaps and strengths are identified
• What completion-only metrics fail to reveal
No login required. No organizational data involved.
Option 2 - Evaluate Using Your Learning Content
Upload selected learning materials to evaluate engagement, comprehension, and performance using your own content.
• Secure and private
• Evaluation-only environment
• No learner deployment required
This option is best for teams conducting structured internal reviews
Option 3 - Guided Evaluation
For regulated environments or formal reviews, a guided evaluation can walk through the data with your team.
Data Handling & Governance
• Evaluation data is private and isolated
• No content is shared or reused
• No learner access is required
• No obligation to proceed beyond evaluation
REACHUM•AI is built for organizations that need to defend learning decisions with evidence, not assumptions.
This evaluation is the first step in determining whether learning performance can be measured with the same rigor as other strategic functions.
Learning performance backed by evidence.