Score the skills that actually matter: research, product thinking, interaction design, UI craft, systems, facilitation, data, and AI workflow literacy.
Can you turn user evidence into decisions?
When a team needs user insight, what can you confidently run yourself?
Can you connect design choices to business and user outcomes?
How do you usually frame design work?
Can you make flows simple, resilient, and understandable?
How strong are your flows before they become polished UI?
Can you produce interfaces that feel credible and intentional?
How would you describe your visual/UI execution?
Can you work beyond single screens?
How comfortable are you with design systems?
Can you move groups from ambiguity to alignment?
What happens when a workshop or critique needs structure?
Can you use evidence after launch?
How do metrics and experiments show up in your process?
Can you use AI to increase quality, not just speed?
How embedded is AI in your design workflow?
Why this matters
Hiring managers do not just want polished screens. They want evidence that you can understand users, frame product problems, make tradeoffs, collaborate with teams, use data, and adapt to AI-assisted workflows. This assessment gives designers a clearer language for those strengths and gaps.