Transform your hiring process with Fabric’s AI-powered recruitment. This guide walks you through creating compelling job listings that attract top talent and streamline your screening process.
Getting started with Fabric is straightforward. Navigate to your Fabric dashboard and select Create a New Job to begin setting up your interview process.
Fabric makes it easy to get your job requirements into the system with two flexible options:
Upload your job description in multiple formats including PDF, DOC, or DOCX files directly.
Copy your existing job description and paste it into the designated text field for quick setup.
Once submitted, Fabric’s AI processes your job description and automatically extracts essential details such as required qualifications, preferred skills, experience levels, and other relevant criteria.
Tip: A well-defined job description is the foundation for success. Clear, specific requirements help Fabric’s AI extract key details accurately, leading to better candidate matching.
This is where you fine-tune what matters most for your role.
This section displays all core skills an ideal candidate should possess. Skills can be marked as Must Have or Good to Have.
Non-negotiable skills required to be effective from day one. Limit this to your top 5–6 critical skills.
Secondary skills that strengthen a candidate’s profile but are not mandatory.
Set experience parameters aligned with role complexity and responsibilities. Useful for specifying industries, company types, and prior role expectations.
Define patterns that indicate potential concerns, such as frequent job changes, undesirable background profiles, or missing critical skills.
Configure your AI Interview Assistant and the questions it will ask candidates.
Choose from three interview format options to match your hiring stage:
Choose an AI personality for interviews. Fabric supports multiple languages and accents. The system will automatically switch to Fabric Alpha for advanced questions such as coding assessments when needed.
Popular examples: - Anushka and Shubham for Indian English\
Dynamic questions generated from a candidate’s resume. You can set focus areas like education or work experience and add additional instructions.
Fabric auto-generates questions based on your job description and must-have skills. These ensure consistent evaluation across candidates.
Each question includes: - Question - Difficulty level - Skills being tested - Number of follow-ups - Purpose - Follow-up directions - Expected answer benchmarks
Covers availability, notice period, and salary expectations. These are stored for review and not used for evaluation.
Analytical problem-solving questions from a question bank, with the option to add custom ones.
Creative problem-solving questions from a question bank, with custom options available.
Tip: A good combination is 1 resume question, 3 must-ask questions, and 1 guesstimate question.
Define essential job details visible to candidates (except salary range).
Automatically reject candidates below minimum experience.
Automatically reject candidates above maximum salary expectations. Salary range is not visible to candidates.
Control whether candidates must submit a resume and whether resume screening is enabled. These settings can be configured independently:
Define core duties and responsibilities of the role.
Add form-based questions to learn more about candidates.
Question types: - MCQ - Yes/No - Number - Free text
Pre-interview questions can also be used as eligibility filters, such as: - Joining timeline - Relocation willingness - Portfolio link
Control which information candidates provide during application. You can hide the entire application form or specific fields as needed to streamline your candidate experience.
Finish your job listing to generate a shareable link.
You can: - Post on job portals - Share directly with candidates - Bulk upload resumes for screening and AI interviews
Use the CSV upload feature to import multiple candidates efficiently. This allows you to quickly add candidate information in bulk for screening and interview processing.
Your job role and AI Interview assistant are now created.
Fabric evaluates candidates using a scoring framework out of 10.