Overview

Recruiters waste hours manually screening senior frontend developer CVs against tough criteria. This workflow automates extraction of candidate info and uses AI to quantitatively score and justify fit based on job specs, then logs results into Google Sheets for fast, consistent decisions.

CV auto screening assistant
Generated by AI

The Impact

  • Slash manual screening time. Auto-extract candidate data and score CVs instantly with AI.
  • Standardize evaluations. Ensure consistent scoring aligned to job requirements.
  • Archive results orderly. Write detailed analyses to Google Sheets for audit and follow-up.
  • Focus interviews. Quickly surface candidate strengths and gaps for targeted questioning.

Who This Is For

  • Recruitment managers screening large pools of senior frontend candidates.
  • Technical interviewers prepping with quick skill summaries and scores.
  • Outsourced recruiting teams needing uniform quality control and record keeping.
  • HR analysts tracking candidate qualification metrics over time.

How It Works

1
  1. Input Candidate Data
  2. Supply candidate full name, email, and a downloadable CV PDF link.
2
  1. AI Qualification Scoring
  2. AI extracts candidate info from CV, scores against Senior Frontend Developer criteria, and generates evidence-based explanations.
3
  1. Spreadsheet Management
  2. Validate or create Google Sheets for output; determine final spreadsheet ID to store results.
4
  1. Parse AI Output
  2. Extract structured qualification data and candidate contact info from AI JSON response.
5
  1. Append Results
  2. Write candidate name, email, qualification score, and detailed explanation into Google Sheets for tracking.

What You'll Need

Before using this template, make sure you have:

  • Candidate CV as a publicly accessible or controlled-access PDF URL.
  • Google Sheets OAuth credentials to read or create spreadsheets.
  • If writing to existing sheets, ensure the sheet and headers (FullName, Email, QualificationRate, QualificationDescription) exist.

How to Use

  1. Step 1. Provide Candidate Info
  2. Fill in the candidate's full name, email, and the URL to their CV file (PDF).

  3. Step 2. Configure Spreadsheet
  4. Enter an existing Google Sheets SpreadsheetId or leave blank to create a new one; optionally set sheet name and new spreadsheet title.

  5. Step 3. Run the Workflow
  6. Trigger the workflow to process the CV, score qualifications, and append results to Google Sheets.

  7. Step 4. Verify Results
  8. Check the target Google Sheet to confirm the candidate's qualification score and detailed evaluation have been recorded.

FAQs

How does the workflow extract candidate info from the CV?
It uses AI to parse the CV PDF, first extracting the candidate's name and email before scoring qualifications.
Can I use an existing Google Sheets to store results?
Yes, provide the SpreadsheetId and ensure the sheet has headers: FullName, Email, QualificationRate, QualificationDescription.
What if the candidate's CV lacks some core requirements?
The AI scores candidates with missing core requirements no higher than 0.6, reflecting their qualification gap.
How is the qualification score calculated?
The score ranges from 0.0 to 1.0, heavily weighing core requirements with bonuses from preferred qualifications, plus detailed explanations.
What credentials are needed to run this workflow?
You need Google Sheets OAuth credentials for spreadsheet access.
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