Video and game-based assessments let you screen large candidate groups with the same questions and the same scoring criteria for everyone. Recruiters lose the scheduling rounds and get comparable results, and candidates complete the assessment when it suits them. Those gains only hold when the rubric, the privacy setup and the human review are designed with care.
Video and game-based assessments are not new, but their use in recruitment is growing fast. For HR and talent acquisition teams dealing with packed interview calendars, inconsistent evaluations and high screening volumes, they offer concrete benefits. Provided they are well designed.
A video-based assessment is a structured selection tool in which candidates answer predefined questions by recording video. It differs fundamentally from a live conversation. There is no recruiter on the other side of the screen, the questions are fixed, and assessors review the recordings at a time of their choosing.
The most common form is the asynchronous video interview (AVI), also called a one-way video interview. Candidates record their answers before a deadline, at a moment that suits them. Synchronous video interviews (live, via Zoom or Teams) fall outside this definition.
Game-based assessments work differently. Candidates complete tasks or scenarios in a game environment, and their behavior and decisions are analyzed afterwards. The goal is the same as with video, valid selection based on competencies, but the task format is very different. Read more about what a game-based assessment is.
Video is particularly suited to making communication and presentation skills visible. In practice that means the following.
The most direct benefit of asynchronous video interviews in recruitment is operational efficiency. Scheduling rounds with dozens of candidates disappear. Selection Lab client data shows that well-designed video assessment flows save an average of 15 minutes per applicant.
Standardization is the second major benefit. Because every candidate gets the same structured interview questions and is scored on the same rubric, evaluations become comparable. That raises the validity of your selection process. Research from the Tilburg University Research Portal (2025) confirms that AVIs are increasingly used as a preselection tool, but also warns that negative candidate reactions are real when the design falls short.
A third benefit is that combined data leads to better decisions. Video scores do not stand alone. In an end-to-end selection flow they are linked to other assessment results, such as cognitive tests or game-based modules, so you build a complete profile per candidate.
The systematic review "Game-related assessments for personnel selection" (Frontiers in Psychology, 2022) concludes that the evidence on game-based assessments is mixed. Positive candidate reactions and predictive properties are reported, but not as clear superiority over traditional tests. The same nuance applies to video.
Flexibility is the benefit candidates mention most. Recording at a quiet moment, without a live appointment squeezed into their calendar, lowers the barrier. Research published via the National Library of Medicine shows that candidates can experience AVIs as a fair selection method, although critical perceptions also occur. Transparency about the procedure makes the difference.
The level playing field argument holds too, but only if the design does. Fixed prompts and rubrics reduce the subjectivity that live interviews introduce through varying questioning techniques or the interviewer's mood. At the same time, if audio or video quality unintentionally affects the score, you create a new form of inequality. As a recruiter you need to actively prevent that.
Not every role calls for the same approach. A few concrete applications.
Adapt the rubric to each role. An account manager rubric scores different criteria at a different level than a team lead rubric.
A practical workflow looks like this.
ATS integration is not a luxury but a requirement for scale. Pushing and pulling candidate status, scores and reports in your existing ATS keeps recruiters from switching between systems. Selection Lab connects video and game-based assessments in one end-to-end flow with ATS integration, where match scores and interview questions build directly on the assessment results. Clients reported 27% fewer candidate drop-offs after implementation.
Implementation takes five steps.
Video recordings are personal data, which means GDPR applies. Candidates must be told in advance what the recording is used for, how long it is kept and which rights they have (access, deletion). You need an appropriate lawful basis, usually legitimate interest or explicit consent. More on this in GDPR and AI in hiring.
Retention periods are a common mistake. Do not keep raw video recordings longer than necessary, and where possible keep the raw recording separate from the evaluation results.
When AI is used to assess or rank candidates based on video, this may fall under the high-risk category of the EU AI Act (Regulation (EU) 2024/1689). Article 14 requires such systems to allow effective human oversight, including awareness of automation bias, and Article 26 requires deployers to assign that oversight to people with the right competence. Human oversight is therefore an obligation, not a recommendation. See the EU AI Act explained for recruitment for the wider picture.
Selection Lab stores personal data in Frankfurt, uses local LLMs to remove personal information from conversation data, and works with explicit consent and retention periods. That makes it easier to meet GDPR and EU AI Act obligations without a dedicated compliance team.
A rubric for a video-based assessment ideally has four to six criteria. Here is an example for a communication-focused role.
| Criterion | Description | Weight |
|---|---|---|
| Structure | Clear opening, core and conclusion | 25% |
| Content and relevance | Answer matches the question | 30% |
| Tone and persuasiveness | Appropriate register, engagement | 20% |
| Scenario approach | Concrete approach to the situational question | 25% |
Score each criterion on a scale of 1 to 5, with anchor examples for every score. Use at least two assessors and plan calibration sessions at the start of each recruitment campaign.
One explicit agreement is essential. Environmental factors such as background, lighting or device type do not count. Write that into the rubric instructions.
Consistent scoring does not happen by itself. Assessor training and regular calibration are needed to keep inter-rater reliability at the right level. Only then does standardizing video-based assessments in recruitment lead to better and fairer selection decisions.
Book a demo to see how video and game-based assessments work together in one Selection Lab flow.
An asynchronous or one-way video interview is a screening step in which candidates record answers to fixed questions before a deadline, without a recruiter present. Assessors review the recordings later against the same rubric, so every candidate is evaluated on the same criteria.
They remove scheduling rounds, make evaluations comparable because every candidate gets the same questions and rubric, and combine with other assessment results into one candidate profile. Selection Lab client data shows an average saving of 15 minutes per applicant.
They can be, if the design is right. Fixed prompts and rubrics reduce interviewer subjectivity, and candidates value the flexibility. Fairness breaks down when lighting, background or audio quality influence the score, so rubrics should exclude those factors explicitly.
Video recordings are personal data, so GDPR always applies. You need a lawful basis, clear candidate information and limited retention. If AI assesses or ranks candidates based on video, the use may count as high-risk under the EU AI Act, which makes human oversight mandatory.
Use a rubric with four to six weighted criteria, such as structure, relevance, tone and scenario approach, scored 1 to 5 with anchor examples. Have at least two assessors review each recording and calibrate them at the start of every recruitment campaign.
Video and game-based assessments let you screen large candidate groups with the same questions and the same scoring criteria for everyone. Recruiters lose the scheduling rounds and get comparable results, and candidates complete the assessment when it suits them. Those gains only hold when the rubric, the privacy setup and the human review are designed with care.
Video and game-based assessments are not new, but their use in recruitment is growing fast. For HR and talent acquisition teams dealing with packed interview calendars, inconsistent evaluations and high screening volumes, they offer concrete benefits. Provided they are well designed.
A video-based assessment is a structured selection tool in which candidates answer predefined questions by recording video. It differs fundamentally from a live conversation. There is no recruiter on the other side of the screen, the questions are fixed, and assessors review the recordings at a time of their choosing.
The most common form is the asynchronous video interview (AVI), also called a one-way video interview. Candidates record their answers before a deadline, at a moment that suits them. Synchronous video interviews (live, via Zoom or Teams) fall outside this definition.
Game-based assessments work differently. Candidates complete tasks or scenarios in a game environment, and their behavior and decisions are analyzed afterwards. The goal is the same as with video, valid selection based on competencies, but the task format is very different. Read more about what a game-based assessment is.
Video is particularly suited to making communication and presentation skills visible. In practice that means the following.
The most direct benefit of asynchronous video interviews in recruitment is operational efficiency. Scheduling rounds with dozens of candidates disappear. Selection Lab client data shows that well-designed video assessment flows save an average of 15 minutes per applicant.
Standardization is the second major benefit. Because every candidate gets the same structured interview questions and is scored on the same rubric, evaluations become comparable. That raises the validity of your selection process. Research from the Tilburg University Research Portal (2025) confirms that AVIs are increasingly used as a preselection tool, but also warns that negative candidate reactions are real when the design falls short.
A third benefit is that combined data leads to better decisions. Video scores do not stand alone. In an end-to-end selection flow they are linked to other assessment results, such as cognitive tests or game-based modules, so you build a complete profile per candidate.
The systematic review "Game-related assessments for personnel selection" (Frontiers in Psychology, 2022) concludes that the evidence on game-based assessments is mixed. Positive candidate reactions and predictive properties are reported, but not as clear superiority over traditional tests. The same nuance applies to video.
Flexibility is the benefit candidates mention most. Recording at a quiet moment, without a live appointment squeezed into their calendar, lowers the barrier. Research published via the National Library of Medicine shows that candidates can experience AVIs as a fair selection method, although critical perceptions also occur. Transparency about the procedure makes the difference.
The level playing field argument holds too, but only if the design does. Fixed prompts and rubrics reduce the subjectivity that live interviews introduce through varying questioning techniques or the interviewer's mood. At the same time, if audio or video quality unintentionally affects the score, you create a new form of inequality. As a recruiter you need to actively prevent that.
Not every role calls for the same approach. A few concrete applications.
Adapt the rubric to each role. An account manager rubric scores different criteria at a different level than a team lead rubric.
A practical workflow looks like this.
ATS integration is not a luxury but a requirement for scale. Pushing and pulling candidate status, scores and reports in your existing ATS keeps recruiters from switching between systems. Selection Lab connects video and game-based assessments in one end-to-end flow with ATS integration, where match scores and interview questions build directly on the assessment results. Clients reported 27% fewer candidate drop-offs after implementation.
Implementation takes five steps.
Video recordings are personal data, which means GDPR applies. Candidates must be told in advance what the recording is used for, how long it is kept and which rights they have (access, deletion). You need an appropriate lawful basis, usually legitimate interest or explicit consent. More on this in GDPR and AI in hiring.
Retention periods are a common mistake. Do not keep raw video recordings longer than necessary, and where possible keep the raw recording separate from the evaluation results.
When AI is used to assess or rank candidates based on video, this may fall under the high-risk category of the EU AI Act (Regulation (EU) 2024/1689). Article 14 requires such systems to allow effective human oversight, including awareness of automation bias, and Article 26 requires deployers to assign that oversight to people with the right competence. Human oversight is therefore an obligation, not a recommendation. See the EU AI Act explained for recruitment for the wider picture.
Selection Lab stores personal data in Frankfurt, uses local LLMs to remove personal information from conversation data, and works with explicit consent and retention periods. That makes it easier to meet GDPR and EU AI Act obligations without a dedicated compliance team.
A rubric for a video-based assessment ideally has four to six criteria. Here is an example for a communication-focused role.
| Criterion | Description | Weight |
|---|---|---|
| Structure | Clear opening, core and conclusion | 25% |
| Content and relevance | Answer matches the question | 30% |
| Tone and persuasiveness | Appropriate register, engagement | 20% |
| Scenario approach | Concrete approach to the situational question | 25% |
Score each criterion on a scale of 1 to 5, with anchor examples for every score. Use at least two assessors and plan calibration sessions at the start of each recruitment campaign.
One explicit agreement is essential. Environmental factors such as background, lighting or device type do not count. Write that into the rubric instructions.
Consistent scoring does not happen by itself. Assessor training and regular calibration are needed to keep inter-rater reliability at the right level. Only then does standardizing video-based assessments in recruitment lead to better and fairer selection decisions.
Book a demo to see how video and game-based assessments work together in one Selection Lab flow.
An asynchronous or one-way video interview is a screening step in which candidates record answers to fixed questions before a deadline, without a recruiter present. Assessors review the recordings later against the same rubric, so every candidate is evaluated on the same criteria.
They remove scheduling rounds, make evaluations comparable because every candidate gets the same questions and rubric, and combine with other assessment results into one candidate profile. Selection Lab client data shows an average saving of 15 minutes per applicant.
They can be, if the design is right. Fixed prompts and rubrics reduce interviewer subjectivity, and candidates value the flexibility. Fairness breaks down when lighting, background or audio quality influence the score, so rubrics should exclude those factors explicitly.
Video recordings are personal data, so GDPR always applies. You need a lawful basis, clear candidate information and limited retention. If AI assesses or ranks candidates based on video, the use may count as high-risk under the EU AI Act, which makes human oversight mandatory.
Use a rubric with four to six weighted criteria, such as structure, relevance, tone and scenario approach, scored 1 to 5 with anchor examples. Have at least two assessors review each recording and calibrate them at the start of every recruitment campaign.
