muchbetter.ai quizzes are voice-based knowledge checks. The learner answers out loud, and the AI evaluates their response against expected answers. They're the perfect tool to validate theoretical understanding before moving on to simulations.
🛠️ Creating a quiz
🧐 Where? Admin → Quizzes → "Add a quiz"
Fill in the general fields:
Title: visible to the learner. Keep it clear and descriptive.
Context: short description of what the quiz evaluates.
Tags: optional, for organizing your library.
❓ Structuring questions
📝 The 4 fields of a question
📝 The 4 fields of a question
Field | Required | Detail |
Question to ask | Yes | The question asked verbally to the learner. Clear and direct. |
Minimum expected answer | Yes | The short answer that's enough to pass. If the learner says at least this, it's validated. |
Complete answer | No (recommended) | The ideal answer in 2-3 sentences. Helps the AI score more precisely between minimum and perfect. |
Weight | Yes | Relative importance in the overall quiz score. Default: 1. |
📌 Example: Discovery-oriented question
📌 Example: Discovery-oriented question
Question: "During a meeting, what types of information are essential to qualify before talking about the product (beyond basic admin data)?"
Minimum answer: "The client's needs."
Complete answer: "You need to qualify their personal and professional situation, income and expenses, assets, projects (short, medium or long term) and priorities (protection, retirement, tax optimization, estate planning…)."
📌 Example: Closing-oriented question
📌 Example: Closing-oriented question
Question: "Before proposing to move to signature, what should you verify with the client?"
Minimum answer: "That they've understood the solution."
Complete answer: "You need to confirm they understand the needs covered, the guarantees or mechanisms, the cost, the risks/limitations, and the main conditions. Then explicitly ask if there are any remaining blockers before proposing to move forward."
✅ Best practices
🧠 Writing good questions
🧠 Writing good questions
Test understanding, not memorization.
Favor short scenarios: "During a meeting, what do you do if…"
Vary the angles:
Theoretical: "What are the 3 types of…"
Practical: "What do you do when the client says…"
Reflective: "Why is it important to…"
Align questions with the pillars covered in the program's situations.
🎯 Calibrating answers
🎯 Calibrating answers
Minimum answer = the key concept in 1 sentence. If the learner says this, it's validated.
Complete answer = the exemplary version. It refines scoring between "just enough" and "excellent".
💡 The complete answer is optional but highly recommended. Without it, the AI has less nuance for evaluation.
🔗 Adding a quiz to a program
🧐 Where? Admin → Programs → your program → Structure tab
Click "Add a step" in the desired mission.
Select the 🎓 Quiz type.
Pick your quiz from the list.
Gamification settings are the same as for situations: score target, repetitions, weight, blocking.
💡 Pro tip: place quizzes after theoretical content (videos, learning modules) and before consolidation situations. They act as a checkpoint: the learner validates they've understood the theory before putting it into practice.