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
Technical depth
35% weight
Check command of assessment methods: NIOSH lifting equation, RULA/REBA, Snook tables, ACGIH HAL TLV, ISO 11228, plus anthropometric data sources and digital human modelling tools like Jack or RAMSIS.
Evidence to listen for
Explains the physics or mechanism behind their work, not just the tooling
Names the standards, tolerances, and constraints they designed against
Can defend a design decision under follow-up questions
Distinguishes what they personally engineered from what the team delivered
Five-point scoring guide
1
Poor
Cannot explain the fundamentals of their own stated specialism.
2
Needs Improvement
Knows the vocabulary but not the underlying mechanism; struggles under follow-ups.
3
Satisfactory
Solid working knowledge for the role; depth thins out on edge cases.
4
Very Good
Strong command of the domain; explains trade-offs and defends decisions well.
5
Excellent
Names the method chosen per hazard type, cites threshold values from memory, and explains where each tool breaks down.
02
Evaluation factor
Work that shipped
30% weight
Probe workstation or line redesigns they delivered: lift assists, height-adjustable fixtures, tool balancers, and the resulting MSD incident rate, recordable, or cycle-time change.
Evidence to listen for
Names specific programmes, parts, or systems that reached production or field use
States their own scope inside the project
Can give measured outcomes: yield, cycle time, cost, failure rate
Explains what went wrong and what they changed
Five-point scoring guide
1
Poor
No delivered work; experience is coursework, lab-only, or purely observational.
2
Needs Improvement
Contributed to projects but cannot say what shipped or what their part was.
3
Satisfactory
Has delivered real work; outcomes described without numbers.
4
Very Good
Names shipped work and their scope, with some measured results.
5
Excellent
Describes specific installed changes with before and after risk scores, injury counts, or claim costs, and who funded them.
03
Evaluation factor
Diagnosis under uncertainty
20% weight
Assess how they trace a cluster of shoulder or wrist complaints with no obvious cause: task observation, video analysis, EMG or force gauge data, operator interviews, rotation history.
Evidence to listen for
Describes a real failure they chased to root cause
Shows a method: isolate variables, reproduce, measure, eliminate
Distinguishes correlation from cause
Says what they ruled out and why, not only what the answer turned out to be
Five-point scoring guide
1
Poor
No diagnostic method; guesses or escalates immediately.
2
Needs Improvement
Trial and error with no structure; cannot explain how they narrowed the cause.
3
Satisfactory
Reasonable method on familiar problems; less structured on novel ones.
4
Very Good
Clear systematic approach with a real root-cause story.
5
Excellent
Separates exposure from confounders, gathers measured force and posture data, and revises the hypothesis when the data disagrees.
04
Evaluation factor
Working across the org
15% weight
Look for evidence of winning over production supervisors, safety, occupational health, and design engineers early enough to influence tooling or layout before capital release.
Evidence to listen for
Explains technical constraints to non-technical stakeholders without condescension
Has negotiated scope, cost, or timeline with manufacturing, product, or suppliers
Documents decisions so others can act on them
Takes review feedback without defensiveness
Five-point scoring guide
1
Poor
Cannot communicate outside their specialism; dismissive of other functions.
2
Needs Improvement
Communication gaps cause rework; avoids stakeholder contact.
3
Satisfactory
Works adequately with other teams; documentation is thin.
4
Very Good
Communicates clearly across functions; reliable collaborator.
5
Excellent
Cites design reviews entered before tooling freeze and shows how operator and supervisor input changed the final solution.
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