Sample Report

A fully synthetic example showing the evidence-based output format. All names, companies, and data are fictional.

PractitionerStack — Candidate Audit (Synthetic Sample)

Role: Senior Data Analyst (fictional) · Engine: CV Screen Professional Standard v1.0 · Date: 2026-09-06

This is a synthetic demonstration. No real candidate, company, or job description is represented.

Candidate: A. Example (fictional)

GOOD MATCH Score: 68 / 100

Requirement-by-requirement evidence and score derivation

The score is derived deterministically from the evidence below. Each requirement has a type (REQUIRED/PREFERRED), a weight, an evidence-strength classification, a strength factor, and points earned. The overall score is the sum of points earned divided by the total possible points, expressed as a percentage.

Evidence-strength factors (frozen v1.0): DIRECT = 1.00 · STRONG = 0.90 · PRESENT = 0.75 · WEAK/LIMITED = 0.40 · NEGATIVE/NO EVIDENCE = 0.

RequirementTypeWeightJD EvidenceCV EvidenceEvidence StrengthStrength FactorPoints EarnedKnockoutStatus
SQL proficiencyREQUIRED30"Strong SQL skills""5 years writing complex SQL queries"DIRECT1.0030.0NoMet
Python for data analysisREQUIRED25"Python with pandas""Built ETL pipelines in Python"STRONG0.9022.5NoMet
Statistical analysisREQUIRED20"Statistical methods""Applied regression analysis"PRESENT0.7515.0NoMet
Dashboarding (Power BI)PREFERRED10"Power BI preferred"No mention of Power BINO EVIDENCE0.000.0NoNOT DEMONSTRATED IN CV
Healthcare domain experienceREQUIRED15"Healthcare data experience"No healthcare experience statedNO EVIDENCE0.000.0NoNOT DEMONSTRATED IN CV

Score derivation

Total possible points = 30 + 25 + 20 + 10 + 15 = 100

Points earned = 30.0 + 22.5 + 15.0 + 0.0 + 0.0 = 67.5

Overall score = 67.5 / 100 = 67.5 (rounded to 68)

The score is deterministic and reproducible from the displayed evidence.

Human verification items

  • Healthcare domain experience is NOT DEMONSTRATED IN CV — verify with the candidate.
  • Power BI is not mentioned — confirm whether this is a hard requirement.

Final classification

GOOD MATCH (score 68/100, no knockout requirements failed). Classification is a separate decision-support output from the numeric score.

Human decision disclaimer

The screening result is an evidence-based decision-support output. It does not constitute an autonomous hiring decision. Candidate evidence is based on information extracted from the submitted CV. Absence of evidence in the CV should not automatically be interpreted as proof that the candidate lacks the capability. The employer/recruiter retains the final hiring decision.