Transparency builds completion rates
Tell candidates why you use AI interviews, how data is handled, and what happens after they finish. Ambiguity drives drop-off; clarity drives completion and positive employer brand sentiment.
Instructions that work
Keep prep short: expected duration, environment tips, and sample question types. Avoid legalese in the candidate-facing flow — link to privacy details instead.
- Estimated time and number of questions
- Technical setup checklist (camera, mic, lighting)
- What reviewers will and will not see
Feedback that respects candidates
Even brief, constructive feedback at screening stage improves trust. Candidates who understand their result are more likely to refer peers and re-apply to future roles.