Lab Exit / Transition Interview (≈30–60 minutes)

0. Opening

  • Explain purpose: organizational learning + knowledge transfer (not evaluation)
  • Confirm confidentiality / how insights will be used

1. Projects & Offboarding

Projects

  • Which projects are currently open?
  • What needs to be handed over?
  • Who should take over what?
  • Any hidden dependencies?

Expectations on open projects

  • What is “good enough” completion?
  • What should explicitly not be continued?
  • Any contributions needed in the future?

Knowledge transfer

  • Undocumented workflows?
  • What knowledge currently lives only “in your head”?
  • What would someone new need to know on day one?
  • Anything you would have liked to know earlier when starting?

2. Infrastructure & Coordination

Digital infrastructure

  • What worked well?
  • Where did tools or workflows create friction?
  • Any recurring technical or coordination issues?

Project management

  • How effective was project management overall?
  • Where did projects stall?
  • Anything you would change?

3. Work Design & Learning

Skills

  • Which skills did you acquire as part of your work here (most significant)?
  • Which skills are most relevant for your next step?
  • What do you wish you had learned earlier?

Autonomy vs. structure

  • Where was autonomy helpful?
  • Where would more structure have helped?
  • Were expectations generally clear?

4. Synthesis: Keep / Stop / Start

  • What should the lab keep doing?
  • What should we stop doing?
  • What should we start doing?

5. Forward-Looking Closure

Next step preparation

  • What helped you prepare for your next stage (industry / PhD)?
  • What could the lab do better to support future transitions?

Recommendation letter / academic support

  • What would you like emphasized?
  • Which projects or skills best represent your work?

Network

  • Alumni page?
  • Staying connected?
  • Agenda or repository access?

Celebrate success

  • What are you most proud of from your time here?

Notes for Interviewer

  • Treat this partly as offboarding + organizational learning
  • Listen for:
    • undocumented workflows
    • project state
    • dependencies
    • tacit practices
  • Capture concrete examples where possible
  • Feed back aggregated themes into lab practices