Onboarding, Employee Experience & Engagement

Onboarding, Employee Experience & Engagement

Onboarding, Employee Experience & Engagement is a structured track of 14 lessons that build a complete, interview-ready understanding of the topic. Work through them in order, then use the quiz and flashcards in each lesson to revise.

What this course covers

  • What Employee Experience Means in Practice - Experience as the sum of moments that matter, not as an engagement survey score.
  • Pre-Boarding: The Period Between Offer and Joining - The highest-risk window for drop-offs, and what to do in it.
  • Designing a Ninety-Day Onboarding Programme - Week one, month one and the ninety-day review, with owners and success measures.
  • Manager Enablement: The Biggest Lever on Experience - Why the manager explains most of the variance, and what to equip them with.
  • Engagement Drivers and What the Evidence Supports - The drivers with real evidence behind them, and the ones that are folklore.
  • Measuring Engagement: Surveys, Pulses & Employee Net Promoter Score - What each instrument captures, how often to run it, and how to avoid survey fatigue.
  • Acting on Survey Results Without Losing Trust - The follow-through that determines whether anyone answers honestly next time.
  • Internal Communication & Building Employee Voice - Channels, cadence and the mechanisms that let bad news travel upward.
  • Recognition, Rewards & Non-Monetary Motivation - Designing recognition that works, and why cash is often the weaker lever.
  • Wellbeing, Burnout & Mental Health at Work - Diagnosing burnout as a workload and design problem rather than a resilience problem.
  • Retention Strategy: Interventions That Actually Move the Number - Prioritising retention spend by segment, with the evidence for each intervention.
  • Stay Interviews, Exit Interviews & Attrition Diagnosis - Getting honest reasons for leaving, and separating stated cause from real cause.
  • AI in Engagement: Sentiment Analysis & Listening at Scale - Reading open-text feedback at scale, and the trust cost of getting it wrong.
  • Case Study: Reducing Attrition in a High-Churn Function - A high-attrition function diagnosed and treated, with the before and after numbers.