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Case study 05 / Pre-boarding & joining risk

Project TED

Using pre-boarding engagement to surface joining-risk signals before a candidate’s start date.

Intellect Design ArenaApplied AIPre-boarding engagementJoining-risk signals

01 / Problem

The question behind the work.

Offer-to-joining drop-off creates uncertainty in hiring. Pre-boarding engagement can provide signals for understanding joining risk.

02 / My ownership

What I took on.

I built an AI-enabled pre-boarding engagement and joining-risk workflow used across more than 200 candidates.

03 / Solution

From problem to working solution.

  1. 01

    Build an AI-enabled engagement workflow for candidates during pre-boarding.

  2. 02

    Use engagement signals to support joining-risk detection.

  1. 01Pre-boarding
  2. 02Engagement signals
  3. 03Joining-risk insight
Process illustration · a conceptual view of the work

04 / Evidence

The work, with context.

200+

Candidates

Candidates covered by the pre-boarding and joining-risk workflow.

≈20% lower

Offer-to-joining drop-off

Engagement signals were associated with approximately 20% lower drop-off versus the pre-implementation baseline. This is an observed association.

05 / Results

What changed.

Engagement signals were associated with approximately 20% lower offer-to-joining drop-off versus the pre-implementation baseline. The reported result is an association with the implemented workflow.