Table of Contents
- Pick a Strategy
- Come Up with a Short List of Required Answers
- Gather Additional Information with Multiple Choice and Open-Ended Questions
- Leave Personality & Fit for Later Screening
- Everyone Gets a Thank You
1. Pick a Strategy
Decide if your pre-screening chatbot will be filtering out candidates or not.
If your chatbot will be filtering out candidates, you can either ask a series of “knockout” questions designed to disqualify candidates in real-time or you can eliminate candidates using a conditional node.
To use the knockout method of disqualifying candidates, include a branch at each qualifying question. Candidates who answer favorably continue through the rest of the conversation while candidates that get “knocked out” receive a consolation message.
Eliminate Candidates at the End
To wait until the very end of a conversation to let candidates know if they have passed or failed the pre-screen, use a conditional node!
In the following example, candidates need to both like puppies and be able to work overtime in order to pass the pre-screen. So the conditional node is configured as follows:
2. Come Up with a Short List of Required Answers
Decide what questions to ask to pre-screen your candidates. Only ask for the most pertinent information. Users will have a much higher completion rate if they can get through the questions in a short amount of time.
3. Gather Additional Information with Multiple Choice and Open-Ended Questions
Use multiple-choice questions or open-ended questions to gather additional data points for your candidate profiles.
4. Leave Personality & Fit for Later Screening
At this early phase in the screening process, you’ll only want to focus on the basics. Once you have a small group of candidates who fit your initial requirements, you can determine how to move forward with additional questions that help determine job suitability. These types of questions are best handled in a follow-up interview.
5. Everyone Gets a Thank You
Regardless of if they are qualified or not, all candidates receive a thank you message at the end of their conversation flow. Ending messages should be different for qualified and unqualified candidates.