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Product Designer

Based on 10 assessments · 1 from real users

30% Moderate risk

Average realistic automation risk across all Product Designer profiles in the dataset.

Raw potential
60%
Realistic risk
30%
Research benchmark ?
68%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 10 profiles. Middle half of Product Designers score between 24% and 35%.

0% 50% 100%
p10 · 22%
42% · p90
On-screen work 43%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 31%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 13%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 13%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Product Designer, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Create wireframes and mockups using design tools (Figma, Adobe XD, Sketch)
25% DD 43%
Iterate on designs based on feedback from stakeholders, engineers, and users
deep expertise
22% AD 2%
Conduct user research, interviews, and usability testing sessions
deep expertise
19% AD 8%
Collaborate with product managers and engineers in meetings to align on requirements and feasibility
deep expertise
12% AA 5%
Analyze user data, metrics, and analytics to inform design decisions
deep expertise social element
11% DD 28%
Document design systems, style guides, and component specifications
5% DD 75%
Present and pitch design concepts to leadership and cross-functional teams
some context needed
4% DA 12%

Work as a Product Designer? Map your specific role.

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