AI Skill Report Card

Evaluating Resumes

B+78·Jan 13, 2026
YAML
--- name: evaluating-resumes description: Evaluates resumes using the MATCH format methodology and LinkedIn profile analysis. Use when screening candidates or assessing job fit. ---
MATCH Evaluation Framework:
M - Motivation: Why do they want this role/company?
A - Ability: Do they have required skills/experience?  
T - Tenure: How long do they stay at jobs?
C - Culture: Will they fit the team/company culture?
H - Hire-ability: Overall recommendation and reasoning
Recommendation
Add a concrete template or scorecard format for consistent evaluation documentation

Resume + LinkedIn Review Process:

Progress:

  • Initial scan (30 seconds): Role relevance, experience level, red flags
  • MATCH deep dive (5 minutes): Systematic evaluation
  • LinkedIn cross-reference (2 minutes): Verify details, culture indicators
  • Decision + notes (1 minute): Hire/pass with reasoning

Detailed Steps:

  1. Quick Scan

    • Job titles progression
    • Employment gaps >6 months
    • Required skills present
    • Location/relocation needs
  2. MATCH Analysis

    • M: Cover letter enthusiasm, career moves logic
    • A: Skills match (must-have vs nice-to-have), quantified achievements
    • T: Average tenure, reasons for leaving pattern
    • C: Company types, team size preferences, work style indicators
    • H: Overall score 1-5, specific next steps
  3. LinkedIn Cross-Check

    • Verify employment dates/titles
    • Recommendations quality
    • Activity/posts for culture fit
    • Network connections in industry
Recommendation
Include specific examples of red flags and what questions to ask about them in interviews

Example 1: Input: Software Engineer resume, 5 years experience, seeking senior role

MATCH Score: 4/5
M: Strong - mentions specific interest in our tech stack
A: High - React/Node.js + relevant projects, 20% performance improvements shown
T: Good - 2-3 year tenures, logical progressions
C: Fit - contributes to open source, mentoring experience
H: ADVANCE - Schedule technical interview
Red flags: None
LinkedIn: Confirms details, active in tech communities

Example 2: Input: Marketing Manager, frequent job changes

MATCH Score: 2/5  
M: Unclear - generic cover letter
A: Partial - relevant experience but no metrics/results shown
T: Concerning - 6 jobs in 4 years, no clear pattern
C: Unknown - limited culture indicators
H: PASS - Tenure concerns outweigh experience
Red flags: Job hopping without growth trajectory
LinkedIn: Sparse profile, few recommendations
Recommendation
Provide guidance on how to weight different MATCH components based on role seniority or type
  • Speed matters: Aim for 8-minute total evaluation per candidate
  • Document red flags immediately: Gaps, inconsistencies, culture mismatches
  • Use LinkedIn activity for culture fit: Posts, comments, groups show values
  • Weight recent experience heaviest: Last 2-3 roles most predictive
  • Look for growth trajectory: Increasing responsibility, not just job changes
  • Check mutual connections: Internal referrals carry weight
  • Don't just keyword match: Skills without context/results are weak signals
  • Don't ignore soft red flags: "Seeking new challenges" every 12 months
  • Don't skip LinkedIn: Resume dates often don't match LinkedIn
  • Don't over-index on education: Experience trumps degrees for most roles
  • Don't assume remote preferences: Verify location/travel expectations
  • Don't rush the culture assessment: Bad culture fits are expensive mistakes
0
Grade B+AI Skill Framework
Scorecard
Criteria Breakdown
Quick Start
11/15
Workflow
11/15
Examples
15/20
Completeness
15/20
Format
11/15
Conciseness
11/15