Evaluate Phygital Fashion Designer candidates across 4 weighted areas: portfolio, craft and rationale, feedback and iteration, and working with the brief. Portfolio leads at 35%, so review work that exists in both worlds: CLO 3D or VStitcher garments that became sampled physical pieces, plus AR try-on lenses, Roblox or DRESSX drops. Use the rubric to compare role-specific evidence consistently.
For portfolio, look for evidence the candidate shows paired assets: a digital twin, its produced garment, and hard numbers on wears, mints, or try-on conversion. For craft and rationale, look for evidence the candidate explains why a fabric preset was tuned or a mesh decimated, linking drape accuracy to real textile behaviour and platform polygon limits.
Apply the written 1–5 anchors to every answer, record the evidence behind each rating, and use the factor weights to reach a consistent overall assessment.
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
Review work that exists in both worlds: CLO 3D or VStitcher garments that became sampled physical pieces, plus AR try-on lenses, Roblox or DRESSX drops with engagement figures.
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 paired assets: a digital twin, its produced garment, and hard numbers on wears, mints, or try-on conversion.
02
Evaluation factor
Craft and rationale
25% weight
Probe pattern and simulation literacy: block grading, fabric parameter sets, seam and stitch fidelity, retopology and UV work, plus export discipline in glTF, USDZ, or FBX for target platforms.
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
Explains why a fabric preset was tuned or a mesh decimated, linking drape accuracy to real textile behaviour and platform polygon limits.
03
Evaluation factor
Feedback and iteration
25% weight
Test how they handled fit reviews and 3D-to-sample discrepancies: comments from tech designers, buyer signoff rounds, and cases where simulated drape failed against the physical prototype.
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
Describes specific iteration loops that cut sample rounds, citing what the simulation got wrong and how the parameters or pattern changed.
04
Evaluation factor
Working with the brief
15% weight
Assess how they translate a brief spanning merchandising, marketing, and platform constraints: tech pack handoff, NFC or digital product passport tie-ins, launch calendars, mill lead times.
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
Reframes ambiguous phygital briefs into deliverables per channel, naming constraints from factories, engine limits, and drop dates they worked within.
Evidence-led prompts
Interview questions for a Phygital Fashion Designer
Use these prompts to surface evidence for the weighted factors above and compare candidates against the same role-specific criteria.
01
Can you show examples of your previous work in this area?
02
Can you describe your experience combining physical and digital fashion elements?
03
What role do collaborations play in your work?
04
Which tools and software do you use for digital garment design?
05
What is your experience with augmented or virtual reality in fashion?
