Aims | Participants | Outcomes | Content | Certificate | Date & Registration | Cases & Articles

Course Aims

In today’s highly competitive and rapidly changing market, AI Design Sprint has become a critical strategy for innovative leaders to “respond quickly” to challenges. The method is widely recognized as one of the most effective frameworks for driving innovation within the Design Thinking process.

Integrating AI tools with structured processes helps businesses seize market opportunities within accelerated timeframes. With the application of AI, innovation project execution efficiency improves by 94% (Details), while user sentiment analysis accuracy reaches 90% (Details), delivering fast yet low-risk innovation results.

Global leaders such as 3M, Citibank, Coca-Cola, HSBC, LEGO, and IKEA have already leveraged design sprints to revolutionize product design, achieving efficient growth and market advantages. This approach has also delivered breakthrough results in both international and local markets:

  • 3M: Successfully digitized traditional sticky notes, achieving disruptive product innovation and expanding application scenarios by 100 times.
  • A leading Hong Kong bank: Developed an innovative customer retention strategy, generating an additional HKD 3 billion in revenue. (Details)
  • The Indian government: Redesigned a national identity system covering 1 billion citizens, significantly improving efficiency and user satisfaction.
  • A Hong Kong community innovation project: Reduced a traditionally 26-week process to just 1 week, dramatically improving efficiency. (Details)
  • A Swiss international bank: Successfully penetrated the youth market, generating additional revenue of CHF 700 million (approximately HKD 5 billion).
  • The Palace Museum in China: Launched cultural and artistic products that achieved sales of RMB 300 million within just 10 days.

The Design Sprint excels in two critical areas: identifying users’ all-rounded needs and validating the 3-dimension of innovative solutions. By focusing on these key aspects, it ensures that the innovation outcomes are successful across the three essential dimensions of innovation:

  • Desirability: Ensuring the solution meets real user needs.
  • Feasibility: Confirming the solution can be practically implemented.
  • Viability: Validating the solution’s ability to deliver sustainable business value.

This structured yet flexible approach enables innovative business leaders to efficiently navigate complex challenges, reduce risks associated with new ideas, and accelerate decision-making, all while maintaining a user-centered focus.

Targeted Participants

This course is designed for professionals who need to solve complex challenges, validate solutions, and deliver measurable results in a short timeframe. It is ideal for leaders and innovators who aim to leverage AI-powered tools and structured methods to drive impactful, low-risk solutions. 5 Types of Participants

  1. Time-Constrained Business Leaders: Senior executives and managers who need quick, validated solutions to address complex business challenges and drive results efficiently.
  2. Innovation Leaders: Professionals responsible for spearheading innovation initiatives, focusing on delivering user-centered and market-ready solutions in competitive industries.
  3. Product and Service Designers: Teams tasked with rapidly developing, prototyping, and launching innovative products or services to meet market demands.
  4. Marketing and Sales Directors: Leaders aiming to align innovation with customer insights, improve market positioning, and deliver impactful, low-risk solutions.
  5. Start-Up Founders: Entrepreneurs seeking agile, structured methods to validate ideas, reduce risks, and deliver measurable results in fast-paced environments.

Learning Outcome

After completing this course, participants will be able to:

  1. Maximize ROI Through Strategic Prototyping: Leverage AI-powered prototyping tools to streamline workflows, validate ideas, and deliver impactful innovations efficiently.
  2. Master AI-Driven Innovation Processes: Utilize the 4-Day AI Design Sprint framework and AI tools like GPT and DALL-E to accelerate innovation and deliver desirable, feasible, and viable solutions.
  3. Solve Complex Challenges Efficiently: Apply a structured approach to rapidly address business needs, minimize risks, and deliver impactful results.
  4. Drive User-Centered Innovation: Uncover deep user insights through AI-enhanced tools to create user-driven solutions that meet market demands and achieve measurable outcomes.
  5. Engage Key Stakeholders for Success: Develop strategies to collaborate with key stakeholders and align solutions with business objectives for scalable and sustainable results.

Course Content

Part 1: Discovering User Needs

  1. Utilizing AI tools like sentiment analysis and GPT to uncover deep user insights.
  2. Conducting data-driven research to align solutions with real user needs.
  3. Mapping critical customer experience and identifying pain points using AI-enhanced tools.

Part 2: Defining Business Opportunities

  1. Developing persona and customer journey to analyze the hidden and potential needs further
  2. Aligning user needs with business objectives to identify strategic focus areas.
  3. Prioritizing opportunities using AI-based feasibility, desirability, and viability frameworks.

Part 3: Developing Innovative Ideas

  1. Employing GPT and other AI tools for brainstorming and generating creative concepts.
  2. Applying design thinking and AI-enhanced ideation techniques to refine ideas.
  3. Validating early concepts through AI-driven feedback and rapid iteration.

Part 4: Delivering Functional Prototyping Tools

  1. Exploring AI-powered functional prototyping tools to build working prototypes.
  2. Creating tangible prototypes for usability testing and functionality validation.
  3. Streamlining workflows with AI to deliver functional solutions quickly.

Part 5: Delivering Interactional Prototyping Tools

  1. Using AI to design interactive prototypes that simulate real-world user experiences.
  2. Testing and refining interactional prototypes for seamless usability and engagement.
  3. Applying AI-enhanced feedback loops to optimize user interactions efficiently.

Part 6: Delivering Call-to-Action Prototyping Tools

  1. Designing AI-driven call-to-action prototypes to evaluate user behavior and responses.
  2. Testing and analyzing CTAs to drive engagement and improve conversion rates.
  3. Iterating prototypes quickly using AI insights to optimize user-driven outcomes.

Certificates

The digital certificate (shown below) for the AI-Enhanced Design Sprint Certificate Training Course, issued by the prestigious DesignThinkers Academy, represents a mark of excellence in innovation expertise. Leveraging cutting-edge Blockchain technology, the certification ensures the highest level of security, authenticity, and uniqueness for your credentials. This advanced system provides robust protection against fraud and guarantees that your achievement is verifiable, trustworthy, and globally recognized.

You can earn the prestigious AI-Enhanced Design Sprint Certificate by completing the full course.

If you are already a graduate of the Design Thinking Fundamentals Course, there is an alternative pathway to achieve certification. Graduates of the Design Thinking Fundamentals Course can opt to join the 1-Day Leveraging AI in Prototyping to Deliver Desirable, Feasible, and Viable Innovations for High-Impact Results Training Course (Details), which focuses on Part 5 and Part 6 of this course. By completing this targeted training, you will also qualify to receive the AI-Enhanced Design Sprint Certificate. Please note that this opportunity will only be available until December 31, 2025.

Date, Time, Tuition Fee, Registration

Date & Time: Part 1 (16 & 17 May) and Part 2 (24 May)

Tuition Fee: HK$11,500 (Standard Fee) | HK$10,500  (Early Bird, One month Before Class Start) 

Inquire: +852 6395 9027 (WhatsApp)

2 Case Studies of Design Sprint

  1. Successful Cases for HK Business and Social Sectors
    • HK$3 Billion in Sustained Growth: Breakthrough in Customer Retention for a Bank in HK
    • Efficiency Boosted by Over 95%: Reducing Community Project from 26 Weeks to Just 1 Week

8 Feature Articles of Design Sprint

  1. Why Design Sprint Matters?
    • Leveraging the Iterative Double Diamond Model to Drive Rapid Innovation
    • Rapidly Delivering High-Demand, Feasible, and Viable Innovative Solutions
  2. What are the major Stakeholders and Tools for Design Sprint?
    • 5 Key Stakeholders of Projects: Co-Creation to Drive Commercialized Innovation
    • 50 AI-Powered Prototyping Tools to Elevate the Success Rate of Innovation Projects
  3. How to Implement and Customized for your organization
    • The Essence of Sprint Projects: 8 Key Modules for Achieving High-Impact Innovation
    • Resource Planning: Analysis of Innovation Impact from 4-Hour to 4-Day Models
  4. How to Plan and Execute the Protyoping Processes
    • Prototyping in Planning: How to Select the Right Tools for Strategic Innovation
    • Prototyping in Action: 6 Applications Driving Innovation Across Industries

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