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
Check how they design soil carbon sampling: stratification by soil type, bulk density correction, depth increments, lab methods (LOI versus dry combustion), and which MRV protocol governed the plan.
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 stratification logic, composite versus discrete cores, bulk density handling, and cites protocol requirements such as VM0042 or Climate Action Reserve.
02
Evaluation factor
Real casework
25% weight
Probe actual projects: hectares or growers covered, cover crop and no-till transitions monitored, baseline years quantified, and whether the work reached verification or a credit issuance.
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
Cites specific programmes with acreage, grower counts, baseline data sources, and outcomes that passed third party validation or auditor review.
03
Evaluation factor
Interpretation and judgement
25% weight
Assess how they handle noisy field data: separating management effect from weather variance, yield versus carbon trade-offs, model outputs (DNDC, DayCent, COMET-Farm) versus measured soil results.
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
Distinguishes signal from interannual variability, states uncertainty ranges, and flags where modelled estimates diverged from measured soil organic carbon.
04
Evaluation factor
Reporting and testimony
15% weight
Look for deliverables aimed at different readers: verifier-ready monitoring reports, grower agronomic feedback, buyer or investor briefings, and how they defended assumptions under audit questioning.
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
Produces documentation auditors accepted first pass and translates carbon and agronomy findings into terms growers and buyers act on.
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.
