2. Are learning paths or job roles clearly mapped to training modules?

No 1Mapped for some roles 3Some generic role alignment 2Fully integrated role-based architecture 5Mapped across most roles 4

Section 2: Learner Data & Insights

3. Do you collect real-time learner data (e.g., quiz scores, usage patterns)?

Granular real-time data with reporting 4Static post-course data only 2Basic real-time metrics 3No data collection 1Data integrated with LMS and analytics tools 5

4. How is learner data used to improve training?

Not used 1Continuously used to personalize and optimize learning 5Occasionally used for content updates 3Rarely reviewed 2Regularly analyzed 4

Section 3: Personalization & Adaptivity

5. Are learners shown different content based on their role or performance?

Adaptive logic for performance 4Fully adaptive learning journeys 5Manual branching 2Same content for all 1Role-based paths 3

6. Are remediation or acceleration modules automatically triggered?

Only manually assigned 2Not offered 1Triggered by both assessment and behavior 4Triggered by assessments 3Fully automated based on ongoing learner data 5

Section 4: Technology Infrastructure

7. Does your LMS or platform support adaptive learning capabilities?

No 1Some adaptive features in place 3Limited rules-based features 2Advanced adaptive logic and APIs in use 5LMS integrated with adaptive engine 4

8. Do your systems support content versioning or A/B testing for optimization?

No 1Data-informed testing is routine 5Not sure 2Content versioning available 4Manual updates only 3

Section 5: Impact & Evaluation

9. How do you measure the success of adaptive training initiatives?

Behavioral outcomes tracked 4Learner feedback only 2Completion + assessment data 3No specific measures 1ROI and performance improvement measured 5

Section 5: Impact & Evaluation

10. How often do you optimize learning paths based on analytics?

Never 1Continuous/immediate updates based on live data 5Annually or less 2Quarterly 4After each cohort 3