End-of-course check-in

I can structure compound, multi-step prompt chains for real work — not just one-shot prompts.

I deliberately pick the right model and harness for the task, not by habit.

I can clean a messy backlog using AI — extract themes, dedupe, cluster, map to features — at scale.

I can build a reusable Claude Skill that packages a workflow my team can invoke.

I draft specs — PRDs, design briefs, product docs — with AI as a collaborator and get to sharper outputs than I would alone.

I can use my Design System as a guardrail when generating with AI — tokens, refusal patterns, the Critic.

I can run an AI prototyping loop that produces DS-clean screens, not chaos I need to clean up.

I know when to reach for Figma Make vs Figma AI vs Claude Design vs Claude Code — and why.

Where are you today on your AI-adoption arc?

Read each stage. Pick the one you'd actually describe yourself as this week — not where you wish you were.

Which of these are part of how you actually work now — not just tried once?

Pick everything that's genuinely in your weekly rhythm. Leave the rest.

Give me a problem we never covered in class — I could design a multi-step AI workflow for it from scratch.

The course opened up workflow possibilities I wouldn't have imagined on my own.

Where has the training helped you most?

Pick the top 3 in order — 1 = biggest help.

What did you ship for your capstone? What was the moment it clicked (or didn't)?

Name one thing in your actual work that's different now — a workflow, a decision, an output — that wasn't before this course.

Think of a task you now do with AI that you used to do by hand. What's the time difference?

A peer in product or design asks whether this course was worth it. What's your one-sentence answer?

How likely are you to recommend this course to a friend in product or design?

How likely are you to recommend Prasad as a trainer to a friend or colleague?

What's one workflow (a skill or agent) you now want to build that wasn't even on your radar before the course?

And one you'd build as a shared resource — a skill, a piece of context, or a workflow other teams could reuse?

Where do you want to take this next? Pick whatever appeals — no commitment.

What would make the course better — content or delivery? Anything else you want me to know?

One data-privacy check: how may I use what you've shared in these surveys?

Everything is always used anonymously to improve the programme. This is only about sharing quotes/insights when I talk about the work.

I'm open to supporting the programme — tick and I'll reach out with ways to help (a referral, a quote you can attribute, a short case study, a reference call).