Protocol
Practice recovering from mistakes where mistakes are safe
A flawless rehearsal can leave you unprepared for an ordinary mistake.
When it fits
- A learner can copy the correct procedure but becomes stuck when something unexpected happens.
When to avoid it
- Do not withhold necessary instruction or use clinical, financial or production consequences as training material. Match difficulty and support to the learner's current competence.
Why it matters
Use a bounded practice environment where exploration and recoverable errors are permitted. Ask the learner to notice the error, explain it and regain a workable state. Research on error-management training supports transfer in studied settings, with important variation; it does not justify preventable mistakes in live work.
Steps
- Provide prerequisites, safety limits and a reliable reset before exploration.
- Debrief what signaled the error, which assumption failed and how recovery was checked.
- Test a new variation rather than repeating only the memorized recovery sequence.
An example
In a sandbox, a learner handles an intentionally incomplete import, identifies the rejected records and completes a controlled correction without duplicating accepted records.
Check your result
The learner recognizes and handles a different recoverable failure without relying on the original example's surface details.
Keep this limit in mind
- Do not withhold necessary instruction or use clinical, financial or production consequences as training material. Match difficulty and support to the learner's current competence.
Connected ideas
Useful withLet a colleague rehearse the runbook without your missing context
Evidence and sources
The error-management training synthesis found benefits for learning and transfer, with substantial variation and stronger effects on novel transfer tasks than on within-training performance.
The findings concern designed training conditions, not making avoidable errors in live work or withholding needed instruction.
Effectiveness of error management training: a meta-analysis · Abstract