Interview scorecard template

Telepresence Robot Operator interview scorecard

Evaluate Telepresence Robot Operator candidates across 4 weighted areas: ratings and technical competence, situational awareness under load, decisions under pressure, and communication discipline. Ratings and technical competence leads at 30%, so check hands-on hours on named platforms (Double 3, Beam Pro, GoBe, Ava, Temi), plus comfort with drive consoles, docking routines, camera. Use the rubric to compare role-specific evidence consistently.

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safety critical operationsdouble roboticslatency managementremote navigationteleoperation
TL;DR
For ratings and technical competence, look for evidence the candidate names specific platforms and logged drive hours, explains docking, battery thresholds and firmware quirks without prompting. For situational awareness under load, look for evidence the candidate describes deliberate scanning habits, anticipates pinch points and lift timings, keeps orientation when the feed degrades or crowds build. 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

Ratings and technical competence

30% weight

Check hands-on hours on named platforms (Double 3, Beam Pro, GoBe, Ava, Temi), plus comfort with drive consoles, docking routines, camera pan/tilt, battery telemetry and firmware updates.

Evidence to listen for

  • Holds the current ratings, licences, or endorsements the position requires
  • Knows the rules, minima, and standards cold, not approximately
  • Familiar with the equipment and airspace, network, or plant in question
  • Clear on the boundary of their own authority

Five-point scoring guide

1
Poor

Lacks required ratings, or shaky on the standards that keep people alive.

2
Needs Improvement

Holds the ticket but hesitant on rules and minima.

3
Satisfactory

Competent and current; slower on unfamiliar configurations.

4
Very Good

Rules and minima are second nature; strong on the specific environment.

5
Excellent

Names specific platforms and logged drive hours, explains docking, battery thresholds and firmware quirks without prompting.

02
Evaluation factor

Situational awareness under load

30% weight

Probe how they track surroundings through a narrow camera feed: blind spots, thresholds, lifts, glass doors, crowded corridors, and holding a picture of the route while a call continues.

Evidence to listen for

  • Keeps the whole picture while handling one problem
  • Describes how they shed or reprioritise tasks when volume spikes
  • Notices the thing that has gone quiet, not just the thing that is loud
  • Knows their own saturation point and says so before reaching it

Five-point scoring guide

1
Poor

Tunnel vision under load; loses the wider picture entirely.

2
Needs Improvement

Copes at normal volume; degrades badly when it spikes.

3
Satisfactory

Holds the picture in most conditions; occasional fixation.

4
Very Good

Maintains awareness under high load and reprioritises deliberately.

5
Excellent

Describes deliberate scanning habits, anticipates pinch points and lift timings, keeps orientation when the feed degrades or crowds build.

03
Evaluation factor

Decisions under pressure

25% weight

Test choices when bandwidth collapses mid-drive, the robot stalls on a ramp, someone blocks the path, or the mast tips risk falling; ask about stop-and-park protocols.

Evidence to listen for

  • Decides on incomplete information rather than freezing
  • Chooses the safe option when uncertain, and can say why
  • Recovers from their own error without concealing it
  • Can describe a real event where they made the call

Five-point scoring guide

1
Poor

Freezes, or gambles when the safe option was available.

2
Needs Improvement

Slow to commit; defers decisions that were theirs to make.

3
Satisfactory

Decides adequately in familiar situations.

4
Very Good

Decides quickly and safely, and owns errors openly.

5
Excellent

Defaults to stopping and parking safely, escalates to on-site staff quickly, and recovers the session without abandoning the remote participant.

04
Evaluation factor

Communication discipline

15% weight

Assess radio and chat etiquette with on-site escorts, plus how they announce presence, request door help, and log incidents such as collisions or privacy complaints.

Evidence to listen for

  • Uses standard phraseology and readback discipline without shortcuts
  • Hands over completely, including what is unresolved
  • Speaks up to someone senior when safety requires it
  • Stays measured on the loop when the situation is not

Five-point scoring guide

1
Poor

Sloppy phraseology; incomplete handovers.

2
Needs Improvement

Drifts from standard phrasing under pressure.

3
Satisfactory

Disciplined communication; handovers occasionally thin.

4
Very Good

Precise phraseology and complete handovers, and will challenge seniority on safety.

5
Excellent

Gives clear, short callouts to escorts, announces the robot before entering spaces, and files legible incident and session logs.

Evidence-led prompts

Interview questions for a Telepresence Robot Operator

Use these prompts to surface evidence for the weighted factors above and compare candidates against the same role-specific criteria.

  1. 01

    Tell us about your experience with telepresence technology.

  2. 02

    How comfortable are you controlling a robot in different environments?

  3. 03

    Can you give an example of guiding somebody remotely through a task?

  4. 04

    Can you describe troubleshooting hardware or software problems remotely?

  5. 05

    What would you do if an unfamiliar technical problem appeared during operation?

See the complete Telepresence Robot Operator question set
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