Interview scorecard template

Rewilding Project Drone Operator interview scorecard

Evaluate Rewilding Project Drone 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 their CAA GVC or A2 CofC, operational authorisation, logged PIC hours by airframe (M300, Matrice 350, WingtraOne), and payloads. Use the rubric to compare role-specific evidence consistently.

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safety critical operationsgvc a2 cofchabitat survey mappingthermal imaginguav flight ops
TL;DR
For ratings and technical competence, look for evidence the candidate holds current GVC with operating safety case, hundreds of logged hours across multirotor and fixed wing, fluent with LiDAR and multispectral payloads. For situational awareness under load, look for evidence the candidate describes scanning telemetry, weather and airspace continuously, aborting a mapping grid early on gusts, low voltage or a nesting bird disturbance. 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 their CAA GVC or A2 CofC, operational authorisation, logged PIC hours by airframe (M300, Matrice 350, WingtraOne), and payloads flown: LiDAR, multispectral, thermal.

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

Holds current GVC with operating safety case, hundreds of logged hours across multirotor and fixed wing, fluent with LiDAR and multispectral payloads.

02
Evaluation factor

Situational awareness under load

30% weight

Probe how they track battery state, wind gusts over exposed moorland, raptor activity, and BVLOS observer positions while running an automated Pix4D or DJI Terra grid.

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 scanning telemetry, weather and airspace continuously, aborting a mapping grid early on gusts, low voltage or a nesting bird disturbance.

03
Evaluation factor

Decisions under pressure

25% weight

Test fly-away, GPS loss and motor failure calls over remote peatland: emergency landing site selection, protected habitat avoidance, and reporting to the accountable manager.

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

Recounts specific aborts and forced landings with reasoning, chose ground over sensitive habitat, filed occurrence reports and changed procedure afterwards.

04
Evaluation factor

Communication discipline

15% weight

Assess site briefings with ecologists, landowners and contractors, NOTAM and airspace coordination, plus how they log flight records and share deliverables with GIS teams.

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

Runs structured pre-flight briefs, coordinates cleanly with ATC and land managers, keeps auditable flight logs and hands over well documented survey data.

Evidence-led prompts

Interview questions for a Rewilding Project Drone Operator

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

  1. 01

    Describe your experience with drone technology and the certifications you hold.

  2. 02

    Describe your experience with advanced sensors such as LiDAR or multispectral imaging.

  3. 03

    How familiar are you with autonomous flight planning software?

  4. 04

    How do you ensure the safety and minimal disturbance of wildlife during operations?

  5. 05

    What experience do you have using drones for wildlife monitoring?

See the complete Rewilding Project Drone Operator question set
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