Asynchronous Video Interviews: Save Time Without Losing Signal

The case for async

Async interviews compress calendars without compressing quality. They let candidates respond on their time while giving your team consistent, reviewable signal.

Design choices that matter

• Question design: scenario-based, 60–90 seconds per answer
• Retakes: 1–2 allowed per question (reduces anxiety without over-polishing)
• Accessibility: captions, variable playback, low-bandwidth mode
• Privacy: clear retention windows; opt-in for future roles

The scoring backbone: rubrics

Create a simple 1–5 scale with behavioral anchors. Example for Product Sense (PM):
1 = features first; 3 = problem framing with trade-offs; 5 = end-to-end impact, metrics, and iteration plan.

Workflow: from invite to decision

1. Send invite within 24 hours of application; target >70% completion rate
2. Auto-transcribe; flag low-confidence segments for reviewer checks
3. Review in batches with blind-mode on
4. Advance top candidates; schedule live loop where needed

Candidate-first comms (templates)

Reminder (24 hours before deadline)
Subject: Quick reminder: your {{Company}} async interview (closes tomorrow)

Hi {{FirstName}},

Friendly reminder that your short async interview for {{Role}} closes on {{Deadline}}. You can complete it from your phone in about 12 minutes. If you need accommodations or more time, reply here—we’re happy to help.

Start interview → {{SecureLink}}

Thanks, {{RecruiterName}}

Metrics to watch

• Completion rate by channel/geography
• Time to first response
• Score variance by reviewer and cohort
• Drop-off per question (tune prompts that cause spikes)

Common pitfalls (and fixes)

• Overlong prompts → keep to 2–3 sentences
• Opaque scoring → share high-level rubric in the invite
• One-shot recordings → allow a single retry

Inline CTA: Want this templated? See how a 24-hour ranked shortlist works → /demo

Suggested internal links: /product/video-interviews/ · /customers · /security · /blog/ai-interviews-structured-fair/