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HR & Recruiting Intermediate 🎯 HR Manager

AI-Powered Recruiting & Candidate Screening Workflow

Automate resume screening, candidate matching, and interview scheduling using AI tools for HR teams.

Difficulty
Intermediate
Steps
5
Time
1 hour setup, 10 min per candidate review
Tools
5

Tools Used

ChatGPTLeverGreenhouseIdealCalendly

Overview

This workflow automates the most time-consuming parts of recruiting: resume screening, candidate matching, and initial outreach. AI handles the first 80% of the pipeline, so you only engage with the best-fit candidates.

What You’ll Need

  • Lever or Greenhouse — ATS ($250/mo)
  • Ideal or Textio — AI resume screening ($150/mo)
  • ChatGPT — Candidate communication ($20/mo)
  • Calendly — Interview scheduling (free)

Step 1: Job Description Optimization

  1. Use ChatGPT to rewrite job descriptions for clarity and inclusivity
  2. Prompt: “Rewrite this JD to be more inclusive and clear. Remove biased language. Highlight growth opportunities.”
  3. Identify top 5 must-have skills and 5 nice-to-have skills
  4. Create a scoring rubric with weighted criteria

Step 2: Automated Resume Screening

  1. Connect Ideal to your ATS (Lever/Greenhouse)
  2. Configure screening criteria: must-have skills weighted 3x, nice-to-have 1x
  3. Set pass threshold: 70% match score
  4. Auto-reject: < 50% match (with polite rejection email)
  5. Auto-advance: > 85% match (to interview stage)

Step 3: AI Candidate Outreach

For advanced candidates, send personalized outreach:

  1. Extract candidate LinkedIn profile and resume
  2. ChatGPT prompt: “Write a personalized 3-sentence outreach email to [Name] for [Role] at [Company]. Mention their experience with [Skill].”
  3. Review and send via Lever
  4. Set up follow-up sequence: Day 3, Day 7

Step 4: Automated Interview Scheduling

  1. When candidate advances, Calendly auto-sends available slots
  2. Calendar blocking: 45 min technical, 30 min cultural
  3. Auto-confirm: send calendar invite + prep materials
  4. Reschedule handling: AI chatbot handles rescheduling requests

Step 5: Candidate Scorecard

  1. After each interview, AI generates a scorecard from interview notes
  2. Aggregate scores: technical (40%), cultural (30%), experience (30%)
  3. Rank candidates by weighted score
  4. Generate hiring recommendation: “Strong Hire”, “Hire”, “No Hire”

Results

  • Time to screen 100 resumes: 2 minutes (vs. 8 hours)
  • Candidate quality: 30% higher match rate
  • Time-to-hire reduction: 40%
  • Recruiter capacity: 3x more requisitions per recruiter

Metrics

MetricBeforeAfter
Resume screen time5 min each< 1 min
Candidates screened/day20100+
Interview conversion5%12%
Time-to-hire45 days28 days