Quiz: Module 5, Lesson 3 - The Augmented Workplace: Reimagining Collaboration and Culture

Instructions: Answer the following questions based on the lecture notes for M5, L3.

Part 1: Multiple Choice

1. According to the research by Steven Rogelberg, what is a key principle for running better meetings? a) Inviting as many people as possible to gather diverse opinions. b) Having a clear, question-oriented agenda sent in advance. c) Allowing the conversation to flow freely without a facilitator. d) Ending the meeting without specific action items to allow for flexibility.

2. What is the fundamental premise of the 4-day work week, as described in the lecture? a) It is about cramming five days of work into four, more intense days. b) It is a way to give employees more time off without affecting productivity. c) It is a catalyst for operational excellence, forcing companies to eliminate unproductive work. d) It is primarily designed for creative industries and doesn't apply to others.

3. How does AI contribute to restoring the "dignity of work"? a) By replacing human workers entirely. b) By automating the tedious, low-value tasks, freeing up humans for high-value, creative work. c) By creating more administrative and data-entry jobs for humans. d) By monitoring employees to ensure they are always productive.

Part 2: Short Answer

4. The lecture mentions a potential risk of AI automation: "by automating all the 'easy' tasks, we will make it harder for junior employees to learn and grow." Briefly explain this risk and suggest one way a company could mitigate it.

Answer Key

1. b) Having a clear, question-oriented agenda sent in advance. 2. c) It is a catalyst for operational excellence, forcing companies to eliminate unproductive work. 3. b) By automating the tedious, low-value tasks, freeing up humans for high-value, creative work. 4. (Sample Answer): The risk is that junior employees often learn the fundamentals of a job by doing the repetitive, "easy" tasks. If AI automates all this entry-level work, new employees may miss the crucial learning experiences that build their foundational skills, making it harder for them to advance. A company could mitigate this by implementing a structured mentorship program where senior employees, now freed from tedious tasks by AI, dedicate more time to training junior colleagues. They could also use AI as a training tool, creating simulations of the automated tasks to allow new hires to learn in a controlled environment.