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Candidate screening & interviews

How to evaluate candidates from asynchronous interviews

Asynchronous interviews let candidates respond on their own time and help hiring teams screen faster with less bias. This guide shows you how to use them and how to score them fairly.
Published on:
June 27, 2025
Updated on:
June 27, 2025

The one-way video interview method has become more common as teams try to save time and work across different time zones. Organizations using async interviews report 70% faster recruitment. It allows both candidates and employers to complete the interview process separately.

This article explains what asynchronous interviews are and how they work. It also covers how to evaluate responses using a consistent and reliable system.

What are asynchronous interviews?

Asynchronous interviews are a type of interview where candidates record their answers to questions without a live interviewer present. These responses are usually submitted as videos.

The questions are pre-recorded or written out in advance. Candidates can review the questions and record their answers on their own time. Hiring teams watch the interviews later and use them to decide which candidates to move forward. This process does not happen in real time.

This format is often called an asynchronous video interview. It differs from traditional interviews, which involve a live conversation between the interviewer and candidate.

The asynchronous video interview meaning focuses on flexibility. Candidates and interviewers do not interact at the same moment. Each part of the process happens separately.

Why they matter for candidate evaluation

Asynchronous interviews create a uniform structure where all candidates respond to the same questions. This setup allows hiring teams to compare answers side by side using the same criteria.

Because the process is standardized, it limits the influence of first impressions. Reviewers are less likely to judge candidates based on non-relevant factors that might occur in a live setting.

Having video responses stored digitally means teams can revisit answers later. This makes it easier to involve multiple reviewers and keep a clear record of each candidate's performance. Additionally, video interviews are 6x faster than phone interviews, reducing time to fill by 7-14 days.

  • Consistency: Every candidate answers the exact same questions
  • Reduced bias: Standardized questions help minimize first-impression bias
  • Efficiency: Reviewers can evaluate responses when convenient
  • Documentation: Recorded responses can be revisited and shared

Having video responses stored digitally means teams can revisit answers later. This makes it easier to involve multiple reviewers and keep a clear record of each candidate's performance.

How asynchronous video interviews work

Automated video interviews begin when a recruiter selects a platform designed for this type of interview. These platforms make it possible to write or record questions, assign time limits for responses, and send invitations to candidates.

Candidates receive a link to access the interview. They log in, read or watch the questions, and record their answers. Each question usually has a set time limit. Candidates can complete the interview at any time before the deadline.

From the recruiter's perspective:

  • Prepare and upload questions with time limits
  • Access and review candidate responses at a convenient time
  • Share responses with others involved in the hiring process

From the candidate's perspective:

  • Receive instructions and a deadline for completion
  • Record answers using a webcam or phone
  • Submit responses within the allowed timeframe
Aspect Asynchronous Video Interviews Traditional Interviews
Scheduling Independent timing Coordinated scheduling
Question consistency Identical for all candidates May vary between interviewers
Review process Can be done repeatedly One-time assessment
Team collaboration Easy sharing of responses Requires notes or memory

This structure separates the interview process into distinct steps, allowing each participant to complete their part without needing to be present at the same time.

Best practices to build a fair scoring system

A scoring system helps interview reviewers stay consistent and fair when evaluating asynchronous video interview responses. This structure makes it easier to compare candidates using the same standards.

1. Define your key competencies

Start by choosing 3 to 5 specific skills or qualities that are most important for the role. These are called competencies. Each role may require different ones.

Examples of competencies for different roles:

  • Customer service: communication, empathy, problem-solving
  • Software engineer: technical knowledge, analytical thinking, teamwork
  • Sales: persuasion, resilience, relationship-building

2. Create a clear rubric

A rubric is a scoring guide. Use a numeric scale, such as 1 to 5, to rate each competency. Each number should have a clear meaning.

Scoring scale example:

  • Does not meet expectations
  • Meets expectations
  • Outstanding

Example for communication skills:

  • Unclear, disorganized, difficult to follow
  • Clear, concise, and relevant
  • Highly engaging, well-structured, and persuasive

When creating your rubric, focus on specific and observable behaviors. Avoid general terms like "good" or "nice." Score based on what is said and how it is explained.

3. Train your team

All team members who review interviews should understand how to use the rubric. Calibration sessions help with this. In a calibration session, everyone scores the same sample responses and then compares results. This process helps reduce differences caused by personal interpretation.

4. Keep evaluations consistent

To compare candidates fairly a, review responses in groups instead of one at a time over several days. Avoid reviewing too many in one sitting to prevent fatigue, which can affect judgment. Always use the rubric and avoid scoring based on first impressions or unrelated factors.

Step-by-step guide to evaluate recorded responses

Evaluating asynchronous interview responses involves a structured process. Each step is designed to ensure consistency, accuracy, and fairness during candidate review.

1. Review For completeness

Begin by checking whether the candidate has successfully submitted all required responses. Confirm that both video and audio components are present and functioning.

Checklist:

  • All questions are answered
  • Audio is clear
  • Video is visible and stable
  • No missing or corrupted files

If a response is incomplete or technically flawed, determine whether a retake or follow-up will be used.

2. Score using your rubric

Use a scoring rubric to assign a value to each answer based on pre-defined criteria. Focus only on the candidate's words and ideas, not on their camera quality or background.

When scoring responses:

  • Look for examples: Candidates who provide specific examples usually demonstrate better understanding
  • Check relevance: Answers should directly address the question asked
  • Note clarity: Clear communication is important in most roles

It's helpful to record scores immediately after reviewing each response. This prevents memory bias that can occur when watching multiple interviews.

3. Compare multi-rater feedback

When more than one reviewer scores the same response, compare individual scores. If there are large differences, refer back to the rubric and discuss reasons for each score.

This step is important because it:

  • Reduces individual bias
  • Creates more reliable evaluations
  • Helps identify areas where the rubric may need clarification

4. Document results

Record all scores and reviewer notes in an organized format. This may include using a spreadsheet or a built-in tool from the asynchronous video interview platform.

Documentation should include:

  • Final score for each question
  • Key comments or observations
  • Date of review and reviewer name

Maintaining clear records allows for easier tracking and reference.

5. Make informed decisions

After scoring, calculate a total or average score for each candidate. Consider how each score reflects the role's key competencies.

When making decisions:

  • Add or average the scores for each competency
  • Compare candidates based on overall performance
  • Use additional data such as test results or references if available

This scoring process supports consistent decision-making across all candidates.

Key metrics and tools to measure success

To check whether an asynchronous interview process is working well, it's important to track a few specific metrics. These numbers help hiring teams understand what is working and what may need to be changed.

1. Time to hire

Time to hire measures how many days pass between posting a job and sending an offer. This metric shows how long the hiring process takes. Asynchronous interviews often reduce the total time by removing the need to schedule live meetings.

2. Candidate completion rate

Candidate completion rate is the percentage of invited candidates who finish the asynchronous interview. A low completion rate may mean that the instructions are unclear or that candidates are experiencing technical problems.

3. Quality of hire

Quality of hire refers to how well a new employee performs once hired. This can be measured using early performance reviews, how long the employee stays with the company, and direct feedback from managers.

4. Using asynchronous video interview platforms

Asynchronous video interview platforms often include tools that help track and analyze interview data. Useful features include:

  • Automated scoring systems that apply consistent rules
  • Reporting dashboards to view candidate data
  • Options to share responses with reviewers
  • Customizable rubrics for evaluating specific skills
  • Integration with applicant tracking systems

These tools make it easier to organize evaluations, store feedback, and compare candidates using structured data.

Future-ready tips for small teams

Small teams with limited staff and budgets can manage asynchronous interviews efficiently by using simple processes and consistent tools.

1. Scale without extra cost

AI video interviews allow teams to review many candidate responses without scheduling live meetings. Interviewers can review answers in batches and use a scoring rubric to evaluate each response the same way.

2. Simplify candidate caommunication

Clear messages help candidates understand the process and complete interviews on time. Using templates ensures consistency and saves time.

Example message:

"Hi [Candidate], Thank you for applying! Please complete your asynchronous video interview by [date]. You'll receive a link with instructions. If you have any technical issues, let us know. We look forward to your responses!"

3. Leverage asynchronous interviews for remote roles

Self-paced interviews allow participation across time zones. Candidates can record responses when they are available, which is useful for remote hiring. This format also provides a way to observe how candidates communicate in a non-live setting.

Level up your hiring with a definitive system

A structured system for evaluating asynchronous interview responses uses consistent methods to compare candidates. This system includes identifying key skills for the role, creating a scoring guide, and using tools that support organized review and team collaboration.

Key competencies are the specific skills or behaviors a role requires. These can include communication, adaptability, or technical knowledge. Clear rubrics define how each competency is measured using a scale, such as 1 to 5, where each number represents a detailed description of performance.

Asynchronous video interview platforms help manage the process. These platforms include features such as setting time limits for questions, collecting responses, and organizing evaluations from multiple reviewers.

How Truffle analyzes candidates in asynchronous interviews

Truffle’s one-way interview platform uses a structured evaluation system to help hiring teams review recorded interviews quickly and consistently. Instead of relying on gut feeling or scattered notes, Truffle highlights the signals that matter most.

Here’s how it works:

  • Smart summaries: Truffle uses AI to generate a concise summary of each candidate’s responses, saving time while giving your team the context needed to make decisions.
  • Consistency tracking: Every candidate gets the same questions, in the same format. Truffle helps ensure reviewers stick to the same rubric and avoid drift.
  • Multiple reviewer views: Team members can leave notes, compare scores, and discuss feedback within the platform, all without switching tools or duplicating effort.
  • Decision-ready dashboards: Candidate performance is tracked across competencies, making it easier to sort, compare, and decide who moves to the next step.

Truffle turns asynchronous interviews into actionable insights. You get a faster shortlist and a better handle on how each candidate actually performs, not just how they show up in a live call.

FAQs about asynchronous interviews

How do I effectively communicate feedback to candidates after asynchronous interviews?

Provide specific feedback by referring to parts of the candidate's recorded responses, mentioning strengths and areas for improvement while keeping language clear and direct.

What should I do if a candidate experiences technical difficulties during their asynchronous video interview?

Offer the candidate a chance to redo the interview or provide an alternative submission method like audio-only or written answers to ensure equal opportunity.

Can asynchronous interview methods completely replace live interactions in the hiring process?

Asynchronous interviews work well for early screening, but live interviews are still valuable later in the process to evaluate real-time communication and team fit.

CEO & Co-Founder
Sean Griffith
Author

Sean began his career in leadership at Best Buy Canada before scaling SimpleTexting from $1MM to $40MM ARR. As COO at Sinch, he led 750+ people and $300MM ARR. A marathoner and sun-chaser, he thrives on big challenges.

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