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Electric Bike Designer interview scorecard

Pre-screening scorecard for Electric Bike Designer candidates.

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engineering applied sciencebattery integratione bike designen 15194frame engineering
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

Technical depth

35% weight

Probe frame design depth: tube butting and hydroforming, FEA load cases per EN 15194 and ISO 4210, motor mount geometry for mid-drive units, and battery enclosure sealing to IP67.

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

Talks fluently about fatigue load cases, drop-test rigs, aluminium versus carbon layup choices, and mid-drive torque reaction paths in frames.

02
Evaluation factor

Work that shipped

30% weight

Ask which e-bikes reached production, their annual volumes, and the candidate's specific role: CAD ownership, tooling release, supplier DFM cycles, or homologation sign-off.

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

Names shipped models with volumes, shows CAD or renders they owned, and describes tooling changes made between prototype and mass production.

03
Evaluation factor

Diagnosis under uncertainty

20% weight

Test how they chased field failures: cracked dropouts, motor bearing noise, BMS cutouts under load, or connector corrosion, and what test data closed the root cause out.

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

Walks through a warranty failure from returned units to strain gauge or thermal data, then a validated design change and retest.

04
Evaluation factor

Working across the org

15% weight

Look for how they negotiated with battery cell suppliers, firmware teams tuning torque sensors, industrial design over frame aesthetics, and certification labs handling EMC and UL 2849.

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 concrete trade-offs settled with ID, firmware and suppliers, such as downtube shape versus cell count or cost versus range.

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