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

Which AI tool is purpose-built to automatically transcribe and summarize meetings, extracting action items?

ChatGPT — by manually typing what was said in the meeting Adobe Acrobat AI — designed for PDF document review Meeting transcription tools like Otter.ai, Fireflies.ai, or Microsoft Copilot in Teams Perplexity AI — which is designed for web research

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?

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

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

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

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

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

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

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

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

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

A manager asks an AI to recommend which of two job candidates to hire. What is the correct role for AI in this decision?

AI is too risky to use in any hiring process AI can make the final hiring decision based on the resume data provided AI can make the recommendation, but a human must type it into the HR system AI can help structure the evaluation criteria and surface considerations, but the hiring decision should be made by the human hiring manager

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

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

You ask an AI to write a project risk assessment and receive a generic, shallow response. What is the best next step?

Accept the generic output and edit it heavily yourself Ask the AI the same prompt a second time without changes Iterate with a more detailed follow-up: provide the specific project context, the type of risks to focus on, and the format you need Switch to a different AI tool — this one is too weak for business tasks

An employee sends a client email that was AI-drafted and contains incorrect information. Who bears professional responsibility?

The AI tool provider — they provide the drafting service The employer — they allowed AI tool usage at work No one — errors from AI tools are treated as force majeure events The employee — they are responsible for the accuracy and appropriateness of anything they send, regardless of how it was drafted

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

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 Ask for a step-by-step summary of the document without specifying the feedback goal

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

'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?' 'Compare these products somehow' 'Tell me about ProductA and ProductB'

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

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

A manager asks AI to 'rewrite this paragraph to sound more empathetic.' The AI produces a warm, caring-sounding response. What is the remaining risk before sending?

The AI will have removed all the key information from the paragraph Empathy-based language is prohibited in business communications The AI doesn't know the actual relationship — the rewritten tone may not match what the recipient expects from this person No risk — tone adjustment is a task AI handles reliably

A marketing team asks AI to generate 10 example customer personas for their advertising campaign. After reviewing the output, all 10 personas have similar demographic characteristics. What should the team do?

Add a disclaimer to the campaign noting AI was used Accept the default output — AI generates representative samples of actual customer data Replace AI with manual persona creation to avoid bias entirely Explicitly prompt the AI to generate diverse personas across age, gender, background, and geography to ensure more inclusive representation

A sales team writes a different prompt every time they need to generate a follow-up email after a meeting. What is the highest-leverage improvement?

Switch to a more powerful AI model Each salesperson should develop their own unique prompting style Create a reusable prompt template with clearly marked variables for meeting date, client name, key discussion points, and next steps Only the most senior team members should use AI — it causes quality variance

A small physical therapy clinic wants to use an AI scheduling chatbot on their website. Patients will input their names, contact info, and appointment reasons (which may reference medical conditions). What is required before deploying the chatbot?

Chatbots don't count as HIPAA-covered technology — only EHR systems do HIPAA only applies to clinics with more than 20 employees A standard terms of service acceptance by the clinic is sufficient A Business Associate Agreement (BAA) with the chatbot provider, since the chatbot may process Protected Health Information under HIPAA

Which of the following represents RESPONSIBLE use of AI in a client-facing professional context?

Use AI to generate a first draft, verify all factual claims independently, apply your professional judgment to refine the content, and be transparent about AI assistance per your organization's policy Avoid AI entirely — no professional use of AI is currently compliant Generate the deliverable entirely with AI and submit it as-is Use AI but deny it if asked — clients don't need to know your production process

A doctor uses AI diagnostic assistance for every patient case. Over two years, which professional risk should they actively manage?

AI diagnostic tools will create legal liability because they are not FDA approved The AI will eventually replace them entirely within two years Other physicians will distrust the doctor for using AI assistance Automation complacency — over-reliance may atrophy their independent diagnostic reasoning skills