AI at Work Quiz: Are You Getting the Most From AI Productivity Tools?

Which of these tasks represents the BEST use of human professional judgment rather than AI?

Translating a document to another language Drafting a meeting follow-up summary Deciding how to handle a sensitive interpersonal conflict on your team based on the history and relationships involved Generating three options for a marketing tagline

A small business wants to use AI for drafting responses to customer complaints that include customer names and order details. What is the simplest way to reduce privacy risk while still using AI?

Use AI only on Tuesdays when server load is lower and data is more secure Anonymize the data — replace the customer name with 'Customer' and describe the order generically — before sending to the AI tool Never use AI for any customer-related communications Ask the AI not to store the customer's name after the session

A company builds a prompt library in Notion with 30 useful templates. After 3 months, some templates produce worse results than they used to. What is the most likely cause and solution?

AI model updates changed behavior — review and update templates when models are upgraded, and record a version history The team is using too many templates — reduce to fewer than 10 Notion is not a suitable storage tool for prompt templates All templates expire after 3 months due to API policy

Which of these prompt template practices is MOST important for a large team to maintain quality over time?

Document expected outputs alongside each template so users know what 'good' looks like and can spot when quality has degraded Require every user to rewrite 30% of the template before use Lock down templates so only administrators can use them Rotate to a new AI model every quarter to keep outputs fresh

What is the most effective first step when asking an AI to write a professional email on your behalf?

Provide the context — who the recipient is, what the goal is, and what tone is appropriate — before asking for a draft Use the AI's default style so it doesn't sound AI-generated Ask for the email without context and then copy it directly Write the email yourself first, then ask AI to make it longer

What is the primary benefit of marking variables in a prompt template using brackets like [CLIENT_NAME]?

Brackets encrypt the variable so the AI doesn't see the actual client name It allows the template to work across different AI provider APIs It makes the changeable elements visually obvious, so any team member can fill them in without needing to understand prompt engineering The brackets are required syntax for AI models to recognize variable values

Which of these is the most effective prompt for generating a useful competitive analysis?

'Compare these products somehow' 'Tell me about ProductA and ProductB' 'You are a market analyst. Compare the pricing, integrations, and enterprise support of ProductA and ProductB in a two-column table. Target audience: VP of Sales.' 'What do you think about these two products?'

What is the MOST important mitigation when an AI system is used to make decisions that affect people's opportunities (hiring, lending, parole)?

Add a disclaimer that AI was used in the decision Use the newest, most capable AI model available Maintain meaningful human review and oversight of individual decisions — automated consequential decisions require accountability Increase the volume of decisions made by AI to reduce human bias

Which description best captures the proper role of AI in professional work?

AI handles tasks below your professional ceiling — freeing your time and attention for the work that genuinely requires your expertise and judgment AI should be used equally for all task types to maximize efficiency AI handles complex tasks; professionals handle simple formatting and administration AI handles all tasks so professionals can focus on building relationships

What habit best protects a professional from automation complacency when using AI regularly?

Forming an independent take on a problem before asking AI, then comparing and critically evaluating the AI's perspective Limiting AI use to one tool at a time Using only the most expensive AI model to ensure maximum accuracy Never using AI for tasks that could affect clients

Which of these professional tasks is LEAST reliably handled by current AI tools?

Summarizing a long email thread Generating a first draft of a project status update Making final strategic judgment calls that require understanding organizational politics and relationships Translating a document into another language

A manager wants AI assistance woven into their daily Outlook + Word + Teams workflow without adopting a separate application. Which tool fits best?

Claude API — requires developer integration Microsoft 365 Copilot — AI integrated directly into Outlook, Word, Excel, and Teams Notion AI — requires migrating content to Notion Perplexity AI — a standalone research tool

A small accounting firm uses the free version of an AI chatbot to help draft client financial summaries. The summaries include client names and income figures. What is the primary data risk?

No risk — small accounting firms are exempt from data confidentiality regulations Free AI tools automatically encrypt all submitted data The AI chatbot will share client financial data with the IRS Free-tier AI tools may use inputs for model training, potentially exposing client financial data — this likely violates professional confidentiality obligations

A product manager wants AI to identify weaknesses in a business case. Which prompting technique is most effective?

Ask for a step-by-step summary of the document without specifying the feedback goal Ask the AI to 'improve' the business case without specifying what type of feedback is wanted Persona assignment — 'Act as a skeptical CFO reviewing this business case. Identify the three weakest financial assumptions.' Tell the AI the business case is strong to encourage positive framing

A financial analyst uses an AI tool to draft a client investment report. The report contains an inaccurate statement. The analyst submits it without review. Who bears professional responsibility?

The analyst — they are accountable for work they submit, regardless of how it was generated The AI tool provider — they provided the drafting capability The client — they requested the report No one — inaccuracies in AI-generated content are treated as errors outside human control

A company uses AI to screen resumes and notice that the tool systematically ranks candidates from certain universities higher. What is the most likely cause?

The AI was trained on historical hiring data where those universities were over-represented among successful hires — encoding past selection bias There is no cause — AI resume screening is required to be unbiased by design The AI is correctly identifying the objectively better universities The university ranking reflects the AI's access to university prestige databases

An analyst needs to quickly understand the key findings of a 40-page industry report. Which AI use case is most appropriate?

Document summarization — paste or upload the report and ask the AI for a structured summary of key findings Search for the report's conclusions using a general web search Use AI to generate a new industry report based on training data Ask AI to write an email about the report without reading it

Which prompting technique best helps a professional use AI to identify blind spots in their own analysis?

Ask AI to summarize the analysis back in its own words Ask AI to score the analysis out of 10 Ask AI to list the critical assumptions the analysis relies on, then ask what would happen if those assumptions were wrong Ask AI to write a better version of the analysis

What is the biggest risk when an AI produces a confident-sounding analysis of your business?

The AI may refuse to complete an analysis if the business is in a regulated industry AI analysis is too long — it always produces 10+ pages AI doesn't know your actual organizational context — it analyzes the concept you described, not the specific realities of your situation AI may accidentally leak your business data to competitors

What does 'chain-of-thought prompting' mean?

Asking the AI to repeat your question back before answering Providing several examples before the main task Sending multiple messages in sequence to build up a long conversation Instructing the AI to reason through a problem step by step before giving its final answer — which improves accuracy on complex tasks