design visual communicationcomfort and locomotionspatial uiunityvr interaction design
Complete evaluation framework
What to assess and how to score it
Review the evidence signals before interviewing. Then use the anchored descriptions—not instinct alone—to choose the score that best matches each answer.
01
Evaluation factor
Portfolio
35% weight
Ask for shipped VR builds on Quest, SteamVR, or PSVR2: probe their role in locomotion schemes, spatial UI, onboarding flows, and any published playtest or store metrics.
Evidence to listen for
Work exists and can be looked at, not just described
States what they made versus what the team or a template made
Shows range rather than one repeated style
Can walk through a piece from brief to final
Five-point scoring guide
1
Poor
No portfolio, or work that is unattributable or clearly templated.
2
Needs Improvement
Thin portfolio; unclear what they personally made.
3
Satisfactory
Real work with adequate range; contribution mostly clear.
4
Very Good
Strong varied portfolio with clear personal ownership.
5
Excellent
Shows headset-ready builds they can name, explaining their exact contribution to locomotion, hand-tracking interactions, and measured retention or comfort outcomes.
02
Evaluation factor
Craft and rationale
25% weight
Test craft reasoning: why diegetic menus over floating panels, how they set affordances at arm's reach, frame budget trade-offs, and comfort choices like vignetting or snap turn.
Evidence to listen for
Explains why a layout, type choice, or colour decision serves the brief
Knows typography and hierarchy as craft, not decoration
Works to a brand system without either breaking it or hiding behind it
Names the tools they are genuinely fast in
Five-point scoring guide
1
Poor
Cannot explain any decision; work is arbitrary.
2
Needs Improvement
Talks in taste terms only; no link between choice and brief.
3
Satisfactory
Sound craft with some ability to justify decisions.
4
Very Good
Articulate about why each choice serves the brief.
5
Excellent
Justifies each interaction decision against presence, reach envelopes, and a 72 or 90 Hz frame budget rather than aesthetic preference alone.
03
Evaluation factor
Feedback and iteration
25% weight
Probe how playtesting in-headset changed their designs: SUS or simulator sickness scores, observed flailing or hesitation, iteration cycles in Unity or Unreal blueprints.
Evidence to listen for
Takes critique without treating it as an attack
Distinguishes a subjective preference from a real problem, and says so politely
Iterates fast rather than defending version one
Delivers files correctly and on time
Five-point scoring guide
1
Poor
Defensive about critique; will not revise.
2
Needs Improvement
Accepts feedback passively; iterations do not improve the work.
3
Satisfactory
Revises willingly; struggles to push back on weak feedback.
4
Very Good
Iterates quickly and can argue for the work when the feedback is wrong.
5
Excellent
Cites specific in-headset test findings that reversed an early design, with before and after builds and reduced discomfort or task failure.
04
Evaluation factor
Working with the brief
15% weight
Judge collaboration with engineers, technical artists, and clients on scope: interpreting briefs for training sims, retail, or games under hardware and budget constraints.
Evidence to listen for
Asks about audience and goal before opening the design tool
Works with marketing, product, or clients rather than in isolation
Flags an impossible brief early
Hands over files and assets others can actually use
Five-point scoring guide
1
Poor
Designs in isolation; ignores the brief's purpose.
2
Needs Improvement
Starts designing before understanding the goal.
3
Satisfactory
Asks the right questions when prompted.
4
Very Good
Interrogates the brief up front and hands over cleanly.
5
Excellent
Translates vague briefs into greyboxed prototypes and interaction specs quickly, negotiating scope against device limits and engineering effort.
Put this rubric to work
Score every candidate against the same standard
Add these weighted factors to Hirevire and let AI evaluate recorded answers against your rubric.