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Aims | Target Audience | Objectives | Date, Fee & Registration | Details | Previous Classes
Part 1: Course Objectives and Participant Outcomes
AI-Driven Design Thinking Method (DT3.0) leverages advanced technologies to redefine strategic innovation, offering unparalleled competitive advantages. This cutting-edge approach not only propels your business ahead but also revolutionizes the landscape of strategy and technology. Through DT3.0, experience three pivotal breakthroughs:
- Accelerating innovation with a remarkable speed boost of up to 94% [Details]
- Enhancing strategic decisions with a 90% accuracy rate in market demand analysis [Details]
- Integrating your business goals with vital ESG development strategies [Details]
This interactive course will provide you with the skills, tools, and technologies of design thinking to help drive rapid and accurate product and service innovation. You will participate in a highly interactive learning journey, engage in teamwork, and solve challenges under the guidance of experienced instructors using AI tools to enhance the management effectiveness of design thinking innovation.
The course is carefully designed so that even business leaders who are unfamiliar with design thinking and the use of artificial intelligence tools (such as Social Listening Technologies, AICG – Artificial Intelligence and Computer Graphics, Sentiment Analysis, Chat GPT, DALL-E, Stormz, Figma) can learn smoothly.
Comparison of traditional Design Thinking (DT 1.0) and AI Design Thinking (DT 3.0) in terms of skills, tools, and technologies:
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. | Utilize Social Listening Technologies to automatically collect and analyze user behavior and preferences, uncover deep insights, and handle and interpret large and complex datasets. |
Stage 2 Define Opportunities | The team uses its collective understanding and interpretations to formulate problem statements, which are typically qualitative and descriptive. | Apply Sentiment Analysis and DALL-E to discover and visualize deep insights of users, thereby more accurately reflecting changes in the market and user behavior. |
Stage 3 Develop Ideas | This stage generates innovative solutions through brainstorming sessions and creative workshops. | Use Stormz and Chat GPT to help generate innovative solutions, supported by predicting market trends and suggesting optimizations based on existing data. |
Stage 4 Deliver Solutions | This stage generates innovative solutions through brainstorming sessions and creative workshops. | Use AICG (Artificial Intelligence and Computer Graphics) and Figma for rapid prototyping and testing, where machine learning models predict user reactions and automatically adjust designs based on real-time feedback. |
Part 2: Target Audience:
- Business Managers and Owners: Individuals hoping to enhance performance through innovation in “products,” “services,” and “marketing.”
- Innovation Team Members: Responsible for participating in corporate transformation or business improvement plans.
- Traditional Design Thinkers: Individuals currently applying Design Thinking 1.0 methods and tools for innovation or problem-solving.
- Business Leaders: Leaders responsible for enhancing corporate innovation effectiveness or fostering an innovative culture.
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 between “AI-driven market data analysis” and “human-centric emotional connection with users” in user-oriented innovation projects.
(3) Investigate artificial intelligence applications that can directly enhance the effectiveness and efficiency of innovation projects, such as Social Listening Technologies, Sentiment Analysis, and AICG (Artificial Intelligence and Computer Graphics).
(4) Understand 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 (Practices: 50% | Lecturing: 20% | Case study: 20% | 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)
Teaching Mode: Face-to-face instruction. Includes up to 10 international and local cases from Hong Kong and China, incorporating 8 sets of business innovation techniques (integrating 4 sets of artificial intelligence). [The case studies will be adjusted based on the participants’ backgrounds and progress.]
- Hong Kong: Success of a bank in retaining high-end clients and generating 3 billion HKD in deposits and investments.
- Hong Kong: Effective strategies for redeveloping old communities as part of an ESG project.
- Hong Kong: Optimized practices for a business services application.
- Hong Kong: Successful case of a property development company in driving digital transformation among employees.
- Greater Bay Area, China: Comprehensive enhancement of passenger experience in public transport service.
- Singapore: Successful implementation of ESG energy-saving strategies in residential and commercial buildings.
- Switzerland: Financial institution’s app and asset growth strategy targeting young users.
- Europe: Innovative case of ESG contract design by a financial institution.
- International: Optimization of the patient examination experience with high-end medical devices.
- International: Successful case of a restaurant group optimizing delivery experience to achieve industry leadership.
Language: Cantonese Presentation with English Materials
Mode: Face-to-Face Training Mode
Course Leaders and Facilitators:

Tuition Fee:
For HK Classes: HK$ 7,000 (Standard Price) [6 seats left]
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 25 public classes of the DTA Design Thinking Fundamentals course are listed below:
2024 (22nd to 25th Cohort): 30 Nov | 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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