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
Body of work
35% weight
Ask for specific exhibitions they curated: venue or platform (gallery, Feral File, Bright Moments, museum media wall), artist list, works acquired, attendance or mint figures.
Evidence to listen for
Has work that exists publicly and can be checked
States what they made versus what they contributed to
Can talk about range as well as their signature style
Knows how the work was received and by whom
Five-point scoring guide
1
Poor
Nothing finished or public; describes intentions rather than output.
2
Needs Improvement
Small or unverifiable body of work; unclear personal contribution.
3
Satisfactory
Real output with adequate range; reception described vaguely.
4
Very Good
Substantial verifiable work with clear ownership and range.
5
Excellent
Names dated shows with artist rosters, curatorial premise, budget scale, and outcomes such as sales, press, or institutional acquisition.
02
Evaluation factor
Craft and technique
25% weight
Probe fluency with generative and AI practice: diffusion versus GAN lineage, prompt provenance, on-chain minting, colour calibration, projection mapping, TouchDesigner or Unreal playback rigs.
Evidence to listen for
Can discuss technique concretely rather than in terms of feel or vibe
Names influences and what they took from each
Explains a deliberate choice and the effect it was for
Knows their own weak areas and what they do about them
Five-point scoring guide
1
Poor
No technical vocabulary; cannot discuss choices behind the work.
2
Needs Improvement
Talks in generalities; choices sound accidental.
3
Satisfactory
Solid craft with some ability to explain decisions.
4
Very Good
Articulate about technique and deliberate about effect.
5
Excellent
Discusses model lineage, training data ethics, and file or display formats with the accuracy of someone who has installed the work.
03
Evaluation factor
Reliability and process
25% weight
Test how they run install: condition reports for code-based works, artist contracts, loan agreements, hardware failover plans, timelines with fabricators and AV technicians.
Evidence to listen for
Meets deadlines and briefs, with evidence
Handles revisions and direction without ego
Describes how they work when the brief is vague or changes late
Has repeat clients, bookings, or collaborators
Five-point scoring guide
1
Poor
Misses commitments; cannot take direction.
2
Needs Improvement
Inconsistent delivery; defensive about revisions.
3
Satisfactory
Reliable on clear briefs; struggles when direction shifts.
4
Very Good
Consistently delivers and adapts; repeat collaborators.
5
Excellent
Describes concrete install schedules, contingency for crashed screens or expired dependencies, and archival plans for software-dependent pieces.
04
Evaluation factor
Presence with an audience
15% weight
Judge how they write and speak about the work: wall labels, catalogue essays, artist talks, panel moderation, defending AI-authorship questions to sceptical collectors or press.
Evidence to listen for
Comfortable performing or presenting on demand, including cold
Reads a room and adjusts
Handles a bad night, a difficult client, or a hostile crowd without unravelling
Represents the employer well in front of others
Five-point scoring guide
1
Poor
Cannot perform or present on request; unravels under pressure.
2
Needs Improvement
Rigid delivery; no read of the room.
3
Satisfactory
Competent in familiar settings; less adaptable in new ones.
4
Very Good
Strong presence and adapts to the room.
5
Excellent
Explains contested AI-authorship issues clearly to lay audiences, with published essays, recorded talks, or moderated panels as evidence.
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