Resume Parsing & Scoring Dashboard

Pipeline Overview

Ingested Today
128
vs target 200
This Week
734
Mon to Sat
This Month
2,980
MTD vs plan 5,000
Processing Status
Queued 42 | Parsed 2,812 | Scored 2,640 | Errors None

By Source

LinkedIn 38% | Job Boards 27% | Referrals 21% | ATS Uploads 14%

Today vs Week vs Month

Fill indicates percent to target

Active Candidates

NAME ROLE SOURCE SCORE STATUS Action
Scott Byron Darrow CTO Referral 95 Scored Open Candidate Dashboard
Joaquin Joaquin. Principle Developer LinkedIn 90 Scored Open Candidate Dashboard
Juan Jamon. Principle Developer LinkedIn 90 Scored Open Candidate Dashboard
Magat Rodolfo. Principle Developer LinkedIn 88 Scored Open Candidate Dashboard
Pamela Demafeliz. Principle Developer LinkedIn 91 Scored Open Candidate Dashboard
Al Christian Domingo UI/UX Manager LinkedIn 91 Scored Open Candidate Dashboard
Christian Jones UI/UX Manager ATS Upload 91 Scored Open Candidate Dashboard
Taylor Morgan Senior AI Engineer ATS Upload 95 Scored Open Candidate Dashboard

Parsing Health

Success Rate

Common Error Reasons

  • Scanned PDF with images only
  • Inconsistent date formats
  • Missing contact section
  • Corrupted embedded fonts

Average Parse Time

480 ms
P95 1.9 s | P99 4.1 s

Top Formats

PDF 68% | DOCX 22% | HTML 6% | Others 4%

Recruiter Productivity

Time to Shortlist
34 min
from upload to shortlist (avg)
Recruiter Hours Saved
+412 h
vs manual baseline this month
Auto-Shortlist Hit Rate
needle shows 90% adoption

Business KPIs

Early Performance (30/90/180)
+14% / +18% / +22%
vs baseline cohorts
Quality of Hire Lift
+17%
post-AVAR rollout
Attrition Risk Signals
8%
flagged at resume stage (triage)