When a candidate does not attend an interview, it is easy to fill the information gap with an assumption: they lost interest, accepted another role or behaved unreliably. Sometimes a reason becomes clear later; sometimes it does not. A recruitment team benefits from recording what is known before turning one missed appointment into a judgement about the candidate.
Confirm the appointment record first
Check that the candidate received the correct date, time, format and joining or location information. A no-show review should begin by ruling out obvious coordination errors.
Separate confirmed facts from assumptions
Record that the interview was not attended without inventing a reason. If the candidate later explains what happened, add the supported information to the record.
Review recent communication
Look for unanswered questions, attempted rescheduling or signs that a change did not reach the right person. This can identify a handover problem rather than a candidate-engagement problem.
Use proportionate follow-up
Contact the candidate through the normal recruitment process where appropriate and make the next options clear. Avoid sending several independent chases from different team members.
Check for recurring coordination patterns
If no-shows appear repeatedly around a particular interview format, communication step or handover, review the process. Individual cases may be unrelated, but repeated operational similarities deserve attention.
Update the vacancy team accurately
Tell the hiring contact what has happened and what remains unknown. Do not present an unconfirmed explanation as though the recruiter has established the candidate's motivation.
Close the record with the actual outcome
If the interview is rearranged, the candidate withdraws or contact cannot be re-established, capture that final state so colleagues do not continue working from the original appointment.
A measured no-show review protects both operational accuracy and candidate relationships. It helps recruiters improve genuine process weaknesses while avoiding conclusions that the available evidence cannot support.