Top AI Prompts for Crafting Online Quizzes

List 5 creative quiz themes tailored for a health and wellness online course, drawing inspiration from the ‘Wellness 2025 Trends’ document.

Use Case: Speeds up theme brainstorming by leveraging existing trend insights.

ClickUp Brain Behaviour: Analyzes the linked document to extract relevant themes and suggests fresh quiz ideas.

What question types are most effective for keeping learners engaged in short educational quizzes?

Use Case: Supports quiz creators in selecting formats that maximize participation.

ClickUp Brain Behaviour: Synthesizes findings from internal research and can incorporate external data if available.

Create a structured quiz outline targeting beginner coding topics, using the ‘Intro to Coding’ notes and previous quiz feedback.

Use Case: Ensures alignment between content creators and educators.

ClickUp Brain Behaviour: Extracts key points and organizes them into a clear quiz framework.

Summarize quiz completion statistics from various platforms based on the ‘Q2 Analytics’ report.

Use Case: Enables data-driven decisions for platform optimization.

ClickUp Brain Behaviour: Processes tabular and textual data to produce a concise comparative summary.

Identify top multimedia features that increase quiz engagement, based on design guidelines and past projects.

Use Case: Guides creators in selecting effective interactive elements.

ClickUp Brain Behaviour: Scans documents to highlight frequently used multimedia components and their impact.

From the ‘QA Standards’ doc, produce a detailed checklist for reviewing quiz content and functionality.

Use Case: Simplifies QA processes with a ready-to-use task list.

ClickUp Brain Behaviour: Identifies key QA criteria and formats them into an actionable checklist.

Highlight three current trends in gamification for quizzes based on recent user research and tech reviews.

Use Case: Keeps quiz designs innovative and user-focused.

ClickUp Brain Behaviour: Extracts recurring themes and insights from linked research materials.

Summarize main preferences of learners regarding mobile quiz interfaces from the ‘Mobile UX Survey’ document.

Use Case: Helps UX teams tailor mobile quiz experiences to user needs.

ClickUp Brain Behaviour: Analyzes survey data to identify common design preferences and pain points.

Write clear and friendly instructions for quiz takers, following the style outlined in ‘BrandVoice.pdf’.

Use Case: Accelerates content creation while maintaining brand voice.

ClickUp Brain Behaviour: References tone guidelines to suggest multiple instruction variations.

Outline key updates in data privacy regulations relevant to online quiz data handling.

Use Case: Ensures compliance in quiz design and data management.

ClickUp Brain Behaviour: Synthesizes information from compliance documents; can integrate public updates if available.

Create a set of accessibility recommendations for quizzes, referencing regional compliance documents.

Use Case: Supports inclusive quiz design meeting legal requirements.

ClickUp Brain Behaviour: Extracts relevant standards and formats them into practical guidelines.

From ‘Launch Protocols’ and previous launch reports, generate a comprehensive pre-launch testing checklist.

Use Case: Helps teams verify readiness before quiz deployment.

ClickUp Brain Behaviour: Identifies critical testing steps and organizes them by priority and category.

Analyze how various reward mechanisms impact quiz engagement, based on analytics reports.

Use Case: Informs incentive design to boost participation.

ClickUp Brain Behaviour: Summarizes comparative data into clear, actionable insights.

Highlight new content themes and formats gaining traction in certification quizzes post-2023.

Use Case: Guides content strategy for certification programs.

ClickUp Brain Behaviour: Synthesizes trends from internal research and uploaded industry reports.

Extract and prioritize common usability challenges faced by users on quiz platforms in Southeast Asia.

Use Case: Drives targeted improvements for regional user experience.

ClickUp Brain Behaviour: Analyzes feedback, survey data, and support tickets to highlight critical issues.

Specify the quiz topic and audience

Broad prompts yield vague questions. Include details like subject area (e.g., “basic algebra” or “world history”), difficulty level (e.g., “beginner” or “advanced”), and target participants (e.g., “high school students” or “corporate trainees”).

Example: “Generate multiple-choice questions on European history for college freshmen.”

Ask AI to contrast concepts or question types

AI excels at distinguishing nuances. Use prompts like “compare true/false vs multiple-choice” to evaluate question formats, or “contrast causes of WWI and WWII” to develop content.

Example: “Compare the effectiveness of multiple-choice and short answer questions for assessing vocabulary.”

Focus prompts on specific educational goals

Treat your prompt as a learning task. Instead of “Create quiz questions,” be precise about outcomes:

Example: “Develop 10 questions assessing understanding of photosynthesis for middle school students.”

Request formats like question lists, answer keys, or explanations

AI performs best when you define how content should be structured.

Example: “Provide 5 true/false questions on climate change with correct answers and brief explanations.”