Recruiting department. 480 resume submissions annually. Every resume requiring manual screening.
Recruiter reading entire document. Manually noting experience years. Calculating education level. Listing skills. Determining fit. 25 minutes per resume. 200 hours annually.
THE MANUAL SCREENING WORKFLOW:
Resume arrives. Recruiter downloads document. Opens spreadsheet. Reads resume completely. Manually types candidate name, email, phone, location.
Counts years of experience. Reads each job description. Calculates total years manually. Notes education level - bachelor's, master's, PhD. Lists technical skills mentioned. Checks for required skills match.
Assigns score subjectively. Determines candidate status - strong candidate, potential, or not a match. Types assessment notes. Adds to tracking spreadsheet.
25 minutes per resume. 480 annually. 200 hours consumed.
THE SCREENING PROBLEMS:
Quality audit revealed issues. 67 candidates scored inconsistently. Same qualifications rated differently by different recruiters. 89 resumes with incorrect experience calculations. Manual counting errors.
123 strong candidates marked as "potential" due to rushed screening. 45 candidates with matching skills overlooked. Skills section skimmed during high-volume periods.
Manual entry error rate - 18.7%.
THE AUTOMATION SOLUTION:
Built resume processing workflow. 8 nodes monitoring Google Drive folder.
Resume uploaded. System triggers. Downloads document. Extracts candidate data - name, contact info, work experience with dates, education details, technical skills, soft skills, certifications, languages.
Calculates automatically. Years of experience from job dates. Education level score. Skills match against required list. Generates total score out of 100.
Scoring logic - Experience (40 points): 5+ years = 40pts, 2-5 years = 25pts, 0-2 years = 10pts. Education (30 points): PhD = 30pts, Master's = 25pts, Bachelor's = 20pts. Skills match (30 points): 3pts per matched skill, max 30pts.
Determines status automatically. 75+ score = Strong Candidate. 50-74 score = Potential. Below 50 = Not a Match.
Generates AI assessment. Analyzes candidate strengths, suitable roles, notable achievements, seniority level recommendation.
Logs to database. Updates Google Sheets with complete candidate profile, scores, assessment. Notifies recruiting team via Slack.
DEPLOYMENT RESULTS:
12 months processing 480 resumes. Manual screening eliminated. Zero hours reading resumes. Zero manual calculations. Zero subjective scoring variations.
Consistency - 100%. Same qualifications scored identically regardless of reviewer or timing. Experience calculations accurate from job dates.
Skills matching - 100%. All technical skills identified and matched against requirements. Zero overlooked candidates with matching skills.
Time recovered - 200 hours annually. Reallocated to candidate interviews and relationship building.
Are resumes manually screened? What percentage have inconsistent scoring?