Orchestrated Agentic Experimentation

Survey

Survey (feedback) on Orchestrated Agentic Experimentation (15 Sept)

Please provide brief feedback on the training. Your responses will help us adapt future SLAIF training activities to participant needs.

1. How would you rate the quality of the training content?*

1 - very poor

2

3

4

5 - excellent

2. The lecturer(s) presented the content clearly, in a structured way, and in a way that supported understanding.*

1 - strongly disagree

2

3

4

5 - strongly agree

3. How appropriate was the level of difficulty compared to your prior knowledge?*

1 - too basic

2

3 - just right

4

5 - too advanced

4. How useful was the content for your work, studies, or organisation?*

1 - not useful

2

3

4

5 - very useful

5a. How appropriate was the pace of the training*

1 - too slow

2

3 - just right

4

5 - too fast

5b. How appropriate was the duration of the training?*

1 - too short

2

3 -just right

4

5 - too long

6. What portion of the material presented was new to you?*

1 - no new content

2 - 20% was new

3 - 40% was new

4 - 60% was new

5 - more than 80% was new

7. Do you expect to use the knowledge gained in practice?*

Yes

Maybe

No

8. Which type of training suits you best?*

Webinar

Lecture

Workshop

Microcertification course

Other

You may select more than one answer.

8a. If you selected “Other”, please specify.

Optional.

9. Which level of difficulty would be most suitable for future SLAIF training?*

Introductory / basic

Intermediate / practical

Advanced / expert

Not sure / I need a recommendation

10. Which topics or types of training would interest you in the future?*

AI fundamentals

Generative AI and LLMs

RAG and using own documents/data

HPC for AI

MLOps/LLMOps

Data engineering and data preparation

AI in industry

AI in the public sector

Trustworthy AI / EU AI Act / safe use of AI

Other

You may select more than one answer.

10a. If you selected “Other”, please specify.

Optional.

11. How likely are you to recommend this training to others?*

1 - very unlikely

2

3

4

5 - very likely

12. What would you suggest improving in future editions, or what else would you like to tell us?

Optional.

Your answers will be submitted anonymously.