In today’s competitive job market, efficiently processing and evaluating candidate CVs is crucial for hiring the best talent. Manual handling of CVs can be time-consuming and prone to bias or errors.
This blog explores how an automated workflow can streamline the CV scanning process, ensuring a fair and efficient evaluation while freeing up valuable HR resources for more strategic tasks.
Initiating the Workflow with Google Forms
Our workflow begins with a new response submitted via Google Forms. By integrating with Google Forms, we automate the retrieval of candidate information and associated CV files, ensuring that no application goes unnoticed.
Processing CVs
The goal of this workflow is to download, extract, summarize, and evaluate each CV against a job description. This involves several key steps:
- Download CV: The workflow retrieves the CV file from Google Drive using the file ID from the form response. This step ensures that all relevant documents are available for further processing.
- Extract Text from CV: Using a PDF helper tool, the text is extracted from the downloaded CV file. This step prepares the content for analysis and summarization.
- Summarize CV Content: AI capabilities are used to summarize the extracted text into a structured format. This step highlights key elements such as skills, experience, and qualifications, making it easier to assess the candidate’s fit for the role.
- Score Candidate: OpenAI is employed to compare the summarized CV against a predefined job description and assign a compatibility score. This automated scoring helps in quickly identifying top candidates based on objective criteria.
Recording and Organizing Results
- Record Results: The workflow inserts the candidate’s name, email, summary, and score into a Google Sheets document. This step ensures that all evaluations are documented and easily accessible for review.
- Organize Candidates: Based on the score, candidates are categorized into “Potential” or “Rejected” folders in Google Drive. This organization helps in managing applications efficiently and focusing on promising candidates.
Step-by-Step Implementation Guide
Here’s a step-by-step guide to setting up the workflow:
- Sign in to the platform: Access the ByteChef platform and create a new project named “CV Scanning Automation”.
- Create a new workflow: Create a new workflow within the project and name it “CV Scanning”.
- Choose Google Forms New Response as the trigger for the workflow.
- Use Google Drive Download File action to fetch the CV.
- Use PDF Helper Extract Text action to extract text from the CV.
- Use AI Text Summarize Text action to summarize the CV content.
- Use OpenAI Ask action to score the candidate.
- Use Google Sheets Insert Row action to record results.
- Use Condition to organize candidates based on their scores.
- Use Google Drive Upload File action to upload CV to correct folder.
Running Project and Testing Results
- Create Project Instance
- Pick project version
- Enable particular workflow
- Enable Project Instance
- Submit a new response in Google Forms to trigger the workflow
- Review project execution history and check Google Sheets for recorded results
Additional Resources
- JSON version of ByteChef workflow cv_scanning.json
- Quick Start Guide
Final Thoughts on Automation Benefits
By automating the CV scanning and evaluation process, businesses can improve recruitment efficiency, reduce bias, and enhance candidate experience.
The ByteChef platform provides a user-friendly interface for building and managing automation workflows, making it an ideal solution for streamlining recruitment processes.
With automation, companies can focus on engaging with top talent, ultimately leading to better hiring decisions and a stronger workforce.