Scenario
You need to write a performance review for a team member. You have your notes, observations, and specific examples ready.
1. How do you use AI tools here?
A Let AI write the full review from your notes, then submit it after a quick read-through. B Avoid using AI for this task. Performance reviews involve personal judgment, specific knowledge of the individual, and professional accountability that sit entirely with you. AI involvement risks producing language that sounds professionally polished but does not reflect your genuine assessment, and a review that reads as generic can undermine your credibility with the person receiving it, even if they cannot articulate exactly why. C Use your notes to draft the review with AI, then rewrite key sections in your own voice, verify every judgment and example is accurate and fair, and ensure the tone reflects your genuine assessment of the person. D Use AI only to clean up language and fix grammatical issues after you have written the core content yourself.
Scenario
You have a two-hour task: prepare a briefing document on an industry topic you are not deeply familiar with.
2. How do you approach it with AI tools?
A Ask AI to write the briefing directly from a description of the topic. You have two hours and AI can research and synthesise information significantly faster than starting from scratch. This is precisely the type of task AI is designed for, and spending your time on careful review and refinement of a strong AI draft is a more efficient use of the time available. B Use AI to summarise web searches on the topic, then combine those summaries into a document. C Use AI to generate an initial draft, then research the most important points independently to verify them before finalising. D Start by using AI to build a research framework: what questions this briefing needs to answer, what sources to check, and where an AI-only answer is most likely to fall short. Then research, verify primary sources, and use AI to structure the verified content.
Scenario
You return from a week of leave to find 45 unread emails.
3. Which represents the most effective use of AI to manage this?
A Use AI to triage and summarise: group by topic, flag urgent items, and draft responses to routine ones. Then work through the prioritised list, reviewing and personalising each before sending. B Ask AI to write responses to all emails, do a quick review, and send in bulk. C Handle all 45 emails yourself. In a professional inbox, the risk of an AI-generated reply misreading context, misjudging tone, or including inaccurate information outweighs the time benefit. The effort required to review 45 AI-drafted responses carefully for appropriateness to each specific relationship may not be substantially less than writing the straightforward ones directly, and the cost of a poorly judged response can significantly exceed the time it saved. D Use AI to summarise the emails so you can quickly understand what needs attention, then write all your own responses from scratch.
Scenario
You have a weekly planning ritual: you set your priorities every Monday morning. A colleague asks how AI could genuinely add value to that practice.
4. Which of the following represents the most effective use?
A AI would not add genuine value to this practice. Weekly planning is a reflective ritual where the benefit comes from working through trade-offs and priorities yourself. Introducing AI into the loop risks externalising the thinking process, producing a plan that looks logical on paper but lacks the personal ownership that makes it actually stick through the week. B Share last week's outcomes, current deadlines, and known blockers with AI, ask it to flag prioritisation conflicts and blind spots, then use that as input to your own planning decisions. C Ask AI to generate a planning template structure to use each week. D Ask AI to remind you of tasks you have previously mentioned and flag anything overdue.