Filter Candidates based on must-have qualifications before they reach the interview. Pre-screening questions appear on the application form and can automatically filter out unqualified Candidates.
The best screening forms feel precise, not heavy. Short, specific questions outperform long application forms.
- Question: The prompt the Candidate will see.
- Response type: Numeric, Text, or Yes/No.
- Ideal answer: For Numeric questions, choose how the answer is evaluated:
- Minimum: The answer must be greater than or equal to the value.
- Maximum: The answer must be less than or equal to the value.
- Exact: The answer must equal the value.
- Range: The answer must fall between the minimum and maximum values, inclusive.
- Required: Toggle whether the Candidate must answer to proceed.
- Must-have qualification: Mark this setting to automatically reject Candidates who answer incorrectly.
2. Best practices
- Target deal-breakers: Reserve
Must-have qualification for true deal-breakers only.
- Calibrate thresholds: Review numeric thresholds (like years of experience) anytime the role seniority changes.
- Use ranges for bounded requirements: Set both a minimum and maximum when the acceptable answer has an upper and lower limit.
3. Configure post-screening questions
Post-screening questions are used to collect additional information from Candidates right after they have completed the interview. Use these to collect follow-up details that do not need to be part of the AI conversation, such as a take-home test link, a code repository link, portfolio URL, or final availability details. 
