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
Method and rigour
35% weight
Probe survey design: transect versus point count choices, mark recapture models, camera trap spacing, detection probability corrections, and any protected species licence held for bat, newt or badger work.
Evidence to listen for
Follows and can justify an established methodology
Understands contamination, bias, and chain of custody as they apply to the field
Knows the limits of their techniques and says so
Documents procedure so results are reproducible and defensible
Five-point scoring guide
1
Poor
Careless method; unaware of contamination, bias, or procedural integrity.
2
Needs Improvement
Knows procedures but applies them inconsistently; gaps in documentation.
3
Satisfactory
Sound standard practice; less certain outside familiar techniques.
4
Very Good
Rigorous and well documented; understands the limits of each method.
5
Excellent
Names specific protocols and licences, justifies sampling effort and detection bias corrections, and explains how design matched the target species.
02
Evaluation factor
Real casework
25% weight
Ask for concrete field seasons: taxa studied, sites, hours logged, handling and tagging experience, necropsy or captive husbandry work, and permits or ethics approvals obtained.
Evidence to listen for
Brings specific cases, sites, or projects rather than general description
States their own role and what they personally handled
Can describe an ambiguous or degraded case and how they proceeded
Knows what happened to the work afterwards
Five-point scoring guide
1
Poor
No hands-on casework; experience is entirely academic.
2
Needs Improvement
Limited exposure; cannot describe their own contribution clearly.
3
Satisfactory
Real casework with adequate detail; ownership sometimes vague.
4
Very Good
Specific cases with clear personal scope and outcomes.
5
Excellent
Describes multi season datasets on named taxa and sites, with handling, tagging or necropsy volume and the permits that covered it.
03
Evaluation factor
Interpretation and judgement
25% weight
Test how they read messy ecological data: distinguishing absence from non detection, confounded population trends, misidentified specimens, and when a result is too noisy to act on.
Evidence to listen for
Separates what the evidence shows from what they infer
States confidence levels and what would change their conclusion
Comfortable saying the result is inconclusive
Handles pressure to reach a preferred conclusion without bending
Five-point scoring guide
1
Poor
Overstates findings; no separation of evidence from inference.
2
Needs Improvement
Reaches conclusions the evidence does not support; uneasy with uncertainty.
3
Satisfactory
Reasonable judgement; qualifies findings when prompted.
4
Very Good
Clearly separates evidence from inference and states confidence unprompted.
5
Excellent
Separates signal from sampling artefact, states confidence limits plainly, and flags where taxonomy or detectability undermines a tempting conclusion.
04
Evaluation factor
Reporting and testimony
15% weight
Check written outputs: peer reviewed papers, ecological impact assessments, Phase 1 habitat or biodiversity net gain reports, and experience defending findings to planners or regulators.
Evidence to listen for
Writes findings that a non-specialist can act on
Has presented or defended work to an external audience: court, client, review board, publication
Withstands challenge without overclaiming or retreating
Keeps records that hold up to scrutiny
Five-point scoring guide
1
Poor
Cannot communicate findings; records would not withstand review.
2
Needs Improvement
Reporting is unclear or incomplete; avoids external scrutiny.
3
Satisfactory
Adequate reports; limited experience defending work externally.
4
Very Good
Clear reporting and real experience presenting to an external audience.
5
Excellent
Points to published or client facing reports and has defended conclusions under scrutiny from regulators, planners or reviewers.
Put this rubric to work
Score every candidate against the same standard
Add these weighted factors to Hirevire and let AI evaluate recorded answers against your rubric.
