AI interview software and how to choose a useful screening workflow
AI interview software can collect candidate answers, organize interview evidence and help a team review experience against role criteria. When choosing a product, check who asks the questions, how answers are assessed and what a recruiter can inspect. Then pilot the workflow on one role and measure the total work required, including review and candidate support.
The term covers several formats. Understanding the format helps you choose the right product and explain the process accurately to candidates.
Understand the interview format
| Format | What happens | What to check |
|---|---|---|
| One-way or on-demand interview | A candidate records responses to prepared questions | Preparation time, answer limits and how people review responses |
| AI-led interview | An AI system conducts the interview; some products ask follow-up questions | Approved questions, limits on follow-ups and the assessment rubric |
| Live interview with AI notes | People hold a conversation and software records or summarizes it | Recording controls, transcript quality and correction of the summary |
These formats can appear in the same product family. For example, HireVue describes both live and on-demand video interviews and an AI Interviewer with follow-up questions. Ask a provider to demonstrate the exact format included in its proposal. Features of one product should not be assumed to apply to another.
Choose the question the screening stage should answer
Before writing an interview script, identify the decision this stage will support. For an initial screening, the team might need to understand whether a person has performed particular tasks and which parts of their experience need a deeper conversation.
Use the interview to resolve relevant gaps left by an application. If a CV already explains the candidate's responsibilities, asking them to repeat the whole document adds work. Select a small set of questions that produce information the next interviewer can use.
For our fictional B2B sales manager role, the team needs to understand outbound prospecting, discovery conversations and pipeline management. An initial script could include:
- Describe a prospecting campaign you worked on. How did you select accounts, and which actions did you handle yourself?
- Tell us about a conversation in which you learned something that changed the proposed sale. What did you ask and what happened next?
- Walk through an opportunity you managed in a CRM. What justified moving it to the next stage?
Agree what a useful answer would contain before inviting candidates. Personal responsibility, the situation, actions and the reason for a next step give reviewers material to discuss. A polished answer may still leave the person's contribution unclear; a follow-up question can address that gap.
Inspect the output a hiring manager will receive
Ask the vendor to show a completed interview from the candidate's view and the reviewer's view. Look for the original answer, a usable transcript, the relevant role criterion and an explanation of any generated assessment. Check whether a reviewer can correct a transcription error and see how that correction affects the summary.
Use difficult examples during the pilot: background noise, an interrupted answer, an unfamiliar company name and an answer that does not contain enough evidence. Record how the system handles each one. Reviewers need to distinguish a technical problem from a question the candidate has not answered.
When a product generates a score, ask how the scale is defined and which answer supports the result. Keep job-related content as the basis for your review. Avoid drawing conclusions about a person's competence from appearance, camera confidence or accent. If a feature makes additional inferences, request evidence that they are appropriate for the intended use before enabling it.
Explain the process before the invitation
An invitation should tell candidates what this stage is for, how long it is expected to take and what they need to complete it. Explain how AI is involved, who will review the output and how to contact the team with questions or a technical problem. Link to the applicable information about recording and data use.
Test the invitation and interview on a phone as well as a computer. Check what a candidate sees after a dropped connection, whether progress is saved, and what the team can do when someone cannot complete the format. Offer only the support and alternative routes your team is prepared to provide.
Candidates also need an opportunity to understand the role. Decide where they can ask about the work, the team and the hiring process. Include that conversation in the design of the next stage.
Run a pilot with human review
Choose one vacancy and agree the script, rubric and review responsibilities. First, have colleagues complete test interviews so you can inspect the candidate experience and the output. Resolve problems with instructions, recording and evidence before inviting applicants.
During the initial pilot, have a reviewer inspect every completed interview and every proposed rejection. Keep the original response available, and record why the reviewer changes an AI summary or assessment. Reviewers should be able to pause a decision when an answer is unclear or a technical failure affects the evidence.
Use the same role criteria throughout the pilot. If you change a question or its assessment rules, record the change and check whether earlier responses need another look. This makes the team's decisions easier to explain and helps identify where the workflow needs improvement.
Measure whether the extra stage earns its place
Count invitations, starts and completed interviews separately. Completion rate can mean completed interviews divided by invitations, or completed interviews divided by starts; choose a definition and keep it visible. Track technical failures and requests for help alongside the funnel.
Measure time spent reviewing output, correcting summaries, supporting candidates and preparing the next conversation. Compare the total with your current screening process. Also ask the next interviewer which important questions remain unresolved.
Interpret small pilots carefully. A change in completion can reflect the role, application source or invitation wording as well as the interview format. Use those observations to improve the process before making broad claims about time savings or candidate preference.
Where AINA fits
AINA's screening and interview workflow includes asynchronous screening, assessment against role requirements and live interviews. Its product description says answers, recordings, transcripts and summaries remain in the candidate card.
Consider this workflow if your team wants the first screening and the next interview to share a candidate record. In a demonstration, bring a role brief and a few questions you already use. Check how the hiring manager moves from an application to an answer, then to the next decision. Confirm format details, review controls and usage limits for your intended setup.
Questions about AI interviews
Are all recorded video interviews assessed by AI
No. Recording responses, transcribing them and assessing them are different functions. Ask which functions are active in the proposed workflow and which decisions remain with your team.
Can we use the same interview for every role
Use a consistent process while adapting questions and criteria to the job. Questions about managing a sales pipeline will not give you the evidence needed to assess a developer's coding work. Review the script with the hiring manager for each role.
How should we begin
Choose one vacancy, define the evidence needed from screening and test the full candidate journey. Watch the AINA demonstration, then check a completed interview, its supporting evidence and the handoff to a hiring manager using your own vacancy.