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Recruiting
25 Sep 2025
3
min read

In which phase do most candidates drop out?

Identify the funnel phase with the highest drop-off and starting points for optimization.

Marie Weigmann
peopleIX Team

Funnel stage with the most drop-offs — Where do candidates exit?

Sometimes the path is the problem, not the goal. This analysis shows which funnel stage sees the most candidate drop-offs — and why. With these insights, you can address weak points, streamline processes, and improve the candidate journey. That way, more talent makes it successfully through the funnel.

Was bedeutet die Analyse, in welcher Phase die meisten Kandidat*innen aussteigen?

Diese Analyse zeigt, an welchen Punkten im Recruiting-Funnel Bewerber*innen am häufigsten abspringen – z. B. nach der Bewerbung, im Interviewprozess oder vor dem Vertragsangebot.
Sie liefert wertvolle Hinweise darauf, wo im Prozess Optimierungsbedarf besteht und wie die Candidate Experience verbessert werden kann.

Warum das wichtig ist:

  • Prozessschwachstellen erkennen: Hohe Drop-off-Raten in bestimmten Phasen zeigen, wo Recruiting-Prozesse ineffizient oder unklar sind.
  • Candidate Experience verbessern: Frühzeitige Identifikation von Problemstellen hilft, Bewerber*innen positiv durch den Funnel zu führen.
  • Recruiting-Performance steigern: Datenbasierte Einblicke ermöglichen gezielte Maßnahmen, um Abbrüche zu reduzieren und den Einstellungsprozess effizienter zu gestalten.

In which phase do most candidates drop out?

Withdrawal after recruiting phase

The phase with the most exits Is it clear that “New”-Phase with 4,251 candidateswho were either rejected or withdrew themselves. *

Distribution of exits:

  • New: 4,251 exits (79% of all exits)
  • HR Prescreen: 576 exits (11% of all exits)
  • Interview 1: 300 exits (6% of all exits)
  • Case Study: 104 exits (2% of all exits)
  • Offer/Waiting: 55 exits (1% of all exits)

Key insights:

Critical point: Almost 80% of all exits happen already in the first phase (“New”). This suggests that:

  • Many applications may not meet basic requirements
  • The initial screening process is very strict
  • There is potential for improvements in the first application step

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