Open Badge Factory

1. Overall, how satisfied were you with the course? *

2. Would you recommend this course to a colleague? *

3. Compared to other trainings you have attended, how would you rate this one? *

**B. Content and relevance**

4. The topics covered were relevant to my work. *

5. The balance between theory and hands-on practice was appropriate. *

6. The classical macro-econometric modules (BVAR, DFM, MIDAS, MIDAS-ML) were clear. *

7. The machine-learning modules (LASSO/Ridge, decision trees, random forest, gradient boosting, LSTM) were clear. *

8. The country-specific application walkthrough (Jamaica / Barbados / Trinidad / etc.) helped me see how to apply the tool to my own country. *

9. Which topic did you find MOST valuable? *

10. Which topic did you find LEAST valuable, or would you have skipped? *

11. Is there a topic NOT covered that you would have wanted included? *

**C. Delivery and pacing**

12. Overall quality of instruction: *

13. Instructor's explanations were clear and easy to follow. *

14. Instructor answered questions effectively. *

15. The pacing of the course was: *

16. There was enough time to ask questions and discuss. *

**D. Materials and hands-on components**

17. Quality of slide decks (results, trees, LSTM, classical, OLS regularization): *

18. Quality of Jupyter notebooks and R scripts: *

19. Quality of the Setup Guide and installation documentation: *

20. I was able to run the code on my own laptop by the end of the course. *

21. The environment installation session was well-organized. *

**E. Practical applicability**

22. I feel confident that I could apply the nowcasting pipeline to my country's data. *

23. I feel confident that I could interpret the ensemble and watchlist outputs to my Country Economist / senior management. *

24. I feel confident that I could make changes to the pipeline (add a variable, change a spec, add a shock indicator). *

25. Approximately, what fraction of the course content do you expect to actually use in your day-to-day work? *

26. Overall organization of the course (schedule, communication, materials distribution): *

27. Venue and facilities: *

28. Course duration was: *

**G. Open-ended feedback**

29. What worked best about this course? What should we KEEP doing? *

30. What did NOT work? What should we change or drop? *

31. What follow-up support would help you most in the coming months? (e.g. office hours, code review, refresher session, additional module on a specific topic) *

32. Any other comments? *

**Optional (leave blank if you prefer to stay anonymous)**

33. Country / Institution:

34. Your role:

_Thank you — your feedback directly shapes the next Caribbean Nowcasting course._