Lesson 1 of 0
In Progress

Ideation and AI-Enhanced Hypothesis Setting

Charbel Zeaiter January 9, 2024

Learning objectives

Unleash your creativity through proven brainstorming techniques. Leverage leading-edge AI systems to refine your ideas. Prioritise and select high-potential concepts for further exploration.

  • Apply brainstorming techniques to generate ideas for UX design projects
  • Utilise AI tools to enhance hypothesis generation and refinement
  • Prioritise and select ideas for further UX exploration using structured techniques

Part 1: Theory (Morning Session)

  1. Introduction (15 minutes):
    • Briefly recap the previous week’s lessons.
    • Introduce the goals and objectives of Week 3.
    • Provide an overview of the day’s schedule.
  2. Brainstorming and Idea Generation Techniques (60 minutes):
    • Lecture on the importance of ideation in the innovation process.
    • Introduce and explain various brainstorming techniques such as:
      • Brainwriting
      • Mind Mapping
      • SCAMPER
      • Six Thinking Hats
      • Reverse Brainstorming
    • Discuss the advantages and disadvantages of each method.
    • Engage students in a Q&A session to ensure understanding of the techniques.
  3. Break (15 minutes)
  4. Leveraging AI to Generate and Refine Hypotheses (60 minutes):
    • 🐙 Promptpack: How to build a second-brain (featuring AI) 
    • Lecture on the role of AI in enhancing the ideation process.
    • Explain how AI can be used to analyse large datasets and extract insights.
    • Introduce AI tools and platforms for hypothesis generation such as GPT-3, OpenAI Codex, and DataRobot.
    • Provide examples of AI-generated hypotheses and their applications.
    • Discuss the limitations and ethical considerations of using AI.
  5. Prioritising and Selecting Ideas for Further Exploration (45 minutes):
    • Lecture on the importance of prioritising and selecting ideas.
    • Introduce various prioritisation techniques such as:
      • Impact/Effort Matrix
      • Dot Voting
      • The Kano Model
      • Weighted Scoring
    • Explain how to apply these techniques in practice.
    • Engage students in a Q&A session to ensure understanding of the techniques.

Part 2: Hands-On Practical Activities (Afternoon Session)

  1. Brainstorming Activity (60 minutes):
    • Divide students into small groups.
    • Assign each group a specific challenge or problem to solve.
    • Instruct groups to use one of the brainstorming techniques learned in the morning session to generate ideas.
    • Rotate through the groups, providing guidance and support as needed.
  2. Break (15 minutes)
  3. AI-Enhanced Hypothesis Generation Activity (60 minutes):
    • Provide students with access to AI tools and platforms introduced in the morning session.
    • Instruct students to use these tools to generate and refine hypotheses based on the ideas generated during the brainstorming activity.
    • Offer support and guidance to students as they work with the AI tools.
  4. Prioritising and Selecting Ideas Activity (45 minutes):
    • Have groups reconvene and share their AI-generated hypotheses.
    • Instruct groups to use one of the prioritisation techniques learned in the morning session to select the most promising hypotheses for further exploration.
    • Facilitate a discussion among the groups, encouraging them to share their thought processes and decision-making criteria.
  5. Wrap-up and Reflection (30 minutes):
    • Invite each group to present their selected hypotheses and explain why they chose them.
    • Facilitate a class-wide discussion about the day’s activities, highlighting key learnings and insights.
    • Preview the topics and objectives for Week 4.
    • Encourage students to practise the techniques learned during the week and to prepare for the upcoming sessions.

Homework

  • Generate ideas and hypotheses for a sample UX problem 

Downloadable Toolkit: Ideation and Hypothesis Setting Templates

  • Provide students with a downloadable toolkit containing:
    • Templates for each brainstorming technique introduced in the course.
    • Guides and resources for using AI tools and platforms for hypothesis generation.
    • Worksheets for prioritisation techniques and idea selection.
    • A summary of the key concepts and techniques covered in Week 3.