🎯 Learning Intention

I will learn how to write clear, unbiased, and useful survey questions.

✅ Success Criteria

• [ ] I can explain the difference between open-ended and closed-ended questions
• [ ] I can spot bias or vagueness in a question and rewrite it to be stronger

🌍 Why this matters

The quality of your data depends on the quality of your questions. If you ask poor questions, you get poor data — and your root cause analysis won’t work.

🔓 Warm-Up (Tech Journal • 5 min)

Prompt: Think of a time you were asked a survey question that was confusing or unhelpful. What made it a “bad” question?

📚 Vocabulary

• Open-ended question — allows detailed responses (e.g., “What challenges do you face with your Chromebook?”)
• Closed-ended question — limited responses, often multiple choice or scale (e.g., “Rate your Chromebook battery life from 1–5.”)
• Biased question — leads to a certain answer (e.g., “Don’t you agree Chromebooks are the best?”)
• Measurable question — produces data you can count, compare, or code

🧭 Agenda (45–50 min)

1) Mini-Lesson: Good vs. Bad Questions (12–15 min)

• Show 3 examples of weak survey questions (too vague, biased, double-barreled).
  • “Do you like technology?” (too vague)
  • “Why is our school amazing?” (biased)
  • “Do you like your teachers and your Chromebook?” (double-barreled).