Clarify what is being assessed
Read the brief, deliverable, time expectation and evaluation criteria before starting. Ask concise questions about genuine ambiguity. Confirm permitted tools, data sources and collaboration, especially when AI assistance or external libraries may be restricted.
A good assessment resembles an important part of the role at a proportionate scale. Be cautious when a task would produce substantial usable commercial work without payment or clear safeguards.
Plan before producing
Break the task into understanding, execution, checking and explanation. Allocate time so you can review the result. State reasonable assumptions rather than hiding uncertainty or spending the entire period guessing what the reviewer meant.
Use an approach you can explain. An unfinished but well-reasoned submission may reveal more useful judgement than a polished result built through shortcuts you cannot defend.
Show reasoning and quality control
Submit the requested output in the requested format, then include a concise note on decisions, trade-offs, checks and limitations where appropriate. Verify links, calculations, code, spelling, citations or source handling relevant to the discipline.
Do not claim completion of checks you did not perform. Protect confidential information and use fictional or provided data rather than copying records from a previous employer.
Maintain fair boundaries
Ask how the assessment work will be used and retained. Keep a copy of the brief and your submission where permitted. If the scope expands materially, request clarification before donating additional work.
After submission, prepare to discuss what you would improve with more time. Whatever the outcome, record which skills were tested and use the experience to strengthen a portfolio example or learning plan without publishing the employer’s confidential task.
Put your preparation into practice
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