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Aims | Target Audience | Objectives | Date, Fee & Registration | Details | Previous Classes
Part 1: Course Version and Aims
Objective: Co-creating with Business Managers to Innovative and Implement their new Products, Services or Marketing Campaigns in 2025.
This is the 2025 edition of the course, now enhanced with content on Artificial Intelligence and Big-Data Analysis. You will be fully prepared to apply Design Thinking principles and techniques, integrated with AI insights, in your professional endeavors. The Aim is to help business managers accelerate product enhancement, service improvement, and business model innovation by integrating Artificial Intelligence with Big-Data into Human-Centered business innovation processes.
In the context of innovation project management, it is critical to understand the evolution from Traditional Design Thinking (DT 1.0) to AI-Driven Design Thinking (DT 3.0). This progression signifies a substantial shift in approach and methodology, offering distinct advantages and considerations for senior executives overseeing such projects.
| Traditional Design Thinking (DT 1.0) | AI-Driven Design Thinking (DT 3.0) | |
| Stage 1 Discover Root-Cases | Emphasizes face-to-face interactions and observations with users, relying on human observation and empathy to gather data. This direct engagement ensures that insights are deeply rooted in user experiences and needs. | AI algorithms automatically analyze user behaviors and preferences, uncovering deep insights. They efficiently process and interpret vast and complex data sets, providing a richer understanding of user needs. |
| Stage 2 Define Opportunities | The team uses its collective understanding and interpretations to formulate problem statements, which are typically qualitative and descriptive. This process helps in clearly articulating the challenges to be addressed. | AI continuously refines problem definitions based on real-time data, dynamically adjusting to reflect market and user behavior changes. This results in more precise and timely problem statements that are closely aligned with current realities. |
| Stage 3 Develop Ideas | This stage generates innovative solutions through brainstorming sessions and creative workshops. It values creative freedom and unrestricted thinking, fostering an environment where new ideas can flourish. | AI assists in generating innovative solutions by simulating outcomes, predicting market trends, and suggesting optimizations based on existing data. This integration of AI provides a robust foundation for developing effective and forward-thinking solutions. |
| Stage 4 Deliver Solutions | This stage generates innovative solutions through brainstorming sessions and creative workshops. It values creative freedom and unrestricted thinking, fostering an environment where new ideas can flourish. | AI is used for rapid prototyping and testing, where machine learning models predict user reactions and automatically adjust designs based on real-time feedback. This accelerates the iteration cycle and enhances the relevance of the final product. |
This interactive course will equip you with the Design Thinking mindset, tools, and skills to kick-start bold innovation. It will also introduce how to leverage Artificial Intelligence to refine and implement these innovations. You will embark on a highly interactive learning journey, engaging in group work on a challenge under the guidance of skilled facilitators, with a focus on AI-enhanced Design Thinking processes.
This course is meticulously designed to specifically accommodate business leaders who are “EVEN unfamiliar” with Design Thinking and the use of AI tools such as Chat GPT, DALL-E, and Stormz.
Our Recent Innovation Project with Business Impact
Part 2: Target Audience:
- Innovation Teams: Team leaders responsible for leading corporate transformation or business improvement initiatives.
- Business Managers and Owners: Suited for professionals seeking to innovate their products or services.
- Business Professionals: Designed for individuals eager to expand their creative problem-solving capabilities.
- Business leaders: Perfect for leaders looking to enhance corporate innovation effectiveness or cultivate a culture of innovation.
Part 3: Major Learning Objectives
Upon completion of the new program, you will be able to
(1) Master Design Thinking Principles, Values and Execution Framework (Double Diamond Model) for advanced problem-solving tasks, product or service innovations, & business transformation
(2) Explore how to achieve the optimal balance of applying “artificial intelligence,” “big data analysis,” and “empathy” in human-centered innovation projects
(3) Explore artificial intelligence applications that can directly enhance the effectiveness and efficiency of innovation projects, such as Chat GPT, DALL-E, Stormz, MIRO, and Social Listening Technologies.
(4) Master the “Design Thinking Five-Day Rapid Implementation Model—Design Sprint” to help launch innovative products and services to market in a shorter timeframe.
(5) Understand how to form an innovative team with individuals from different professions (or departments), encouraging “Embracing a Growth Mindset” and “High-Level Co-creation” to enhance the success rate of innovation projects.
Learning approach: Learning by Doing (Lecturing: 20% | Case study: 20% | Practices: 50% | Reflection: 10% )
Part 4: Date, Fee and Registration:
Pre-class Self-Study: 13-set of Self-Paced Learning Videos of “How AI & Data Enhance the Effectiveness of Design Thinking Execution“
Date & Time for the 2-Day class: 21 & 22 Feb 2024 | 0915 to 1300 and 1400 to 1800 (Total: 15.5 hours)
Language: Cantonese Presentation with English Materials
Mode: Face-to-Face Training Mode
Tuition Fee:
For HK Classes: HK$ 6,500 (Early Bird | 1-month before the first lesson) | HK$ 7,000 (Standard Price)
For Mainland China Classes: RMB 6,500 (Early Bird | 1-month before the first lesson) | RMB 7,000 (Standard Price)
Part 5: Course Details
**Download the Course Pamphlet**
Part 6: Previous Classes
The previous 24 public classes of the DTA Design Thinking Fundamentals course are listed below:
2024 (22nd to 24th Cohort): 3 Oct | 19 Jul | 17 May
2023 (19th to 21st Cohort): 21 Oct | 22 Jul | 14 Apr
2022 (15th to 18th Cohort): 20 Oct | 7 Jul | 26 Apr | 17 Mar
2021 (10th to 14th Cohort): 2 Dec | 12 Oct | 19 Aug | 11 Mar | 16 Jan
2020 (5th to 9th Cohort): 19 Nov | 19 Aug | 3 Jul | 13 May | 16 Jan
2019 (1st to 4th Cohort): 2 Nov | 28 Sep | 26 Sep | 15 Aug
** The pdf version of Design Thinking Training and Design Sprint Service Catalogue 2024 **
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