Design for exceptions before scale
Course overview · 4 min reading + 12 min practice, estimated
Principles and method
List the failures that are likely, harmful or difficult to detect. Missing information, duplicate applications, unavailable interviewers and role cancellation deserve explicit routes. An exception design says how the issue is detected, who owns it, what the user is told and when work resumes. Distinguish recoverable technical failure from a decision requiring judgement. Repeating an action can make harm worse, such as sending duplicate rejection emails. Keep a manual continuation route for essential service steps and reconcile records afterward.
Worked example
A scheduling integration times out after creating an interview. Retrying blindly could create a second event. The recovery checks the event identifier before retrying and puts uncertain cases into a coordinator queue.
Put it into practice
Create three failure cases for your blueprint, including one ambiguous system result.
Use fictional information and keep your work in your own notes.
Compare your approach: self-review guidance
Specify detection, pause, owner, communication and reconciliation for each. For the ambiguous event, confirm state before repeating the action. A useful fallback preserves commitments and avoids inventing success.
Sources and further reading
Original Academy teaching and fictional examples. These references provide context, not endorsement. Edition 2026.09; updated 2026-09-24.
- CIPD: Recruitment
Professional context for the recruitment lifecycle.