Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.interviewflowai.com/llms.txt

Use this file to discover all available pages before exploring further.

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.

​
1. Configure pre-screening questions

You can quickly add pre-built pre-screening questions (e.g., Background Check, Education, Visa Status, Language, etc.) or create your own custom questions. For each question, define:
  • Question: The prompt the Candidate will see.
  • Response type: Numeric, Text, or Yes/No.
  • Ideal answer: For Numeric questions, set a minimum value.
  • 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 minimum years of experience) anytime the role seniority changes.

​
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.