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Course Title: From New Ideas to Validated Solutions: Leveraging AI in Prototyping to Deliver Desirable, Feasible, and Viable Innovations for High-Impact Results (1-Day Certificate Training Course)

Course Aims

As an innovation leader driving business growth, organizational change, and digital transformation, your ability to think strategically and act decisively can determine the success or failure of your initiatives. In a world where rapid innovation is the norm, prototyping has become an indispensable tool for testing ideas, validating assumptions, and refining solutions before committing to full-scale implementation.

The right prototyping tools and processes enable you to reduce risks, streamline decision-making, and align your vision with user needs and market demands. Whether you’re spearheading a market expansion initiative, redesigning customer experiences, or optimizing internal workflows, prototyping allows you to evaluate possibilities quickly, pivot when necessary, and ensure innovation delivers tangible results.

This course focused on helping you master AI-enhanced prototyping and user testing techniques of the Design Sprint Method, with an emphasis on validating solutions from the following three key dimensions.

  • Desirability: Does the solution meet user needs?
  • Feasibility: Is the solution technically achievable?
  • Viability: Is the solution economically sustainable?

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.

In this course, you will complete at least three rounds of prototyping and testing to ensure your solution is thoroughly validated from all angles. Additionally, the course integrates cutting-edge AI tools and frameworks to optimize the validation process, making the entire workflow faster, smarter, and more efficient.

Targeted participants

  • Design Thinkers: Graduates of the Design Thinking Fundamentals Course who aim to master advanced prototyping and user testing techniques.
  • Innovation Leaders: Professionals driving impactful change by validating solutions that align with user needs, technical feasibility, and market realities.
  • Product and Design Teams: Teams focused on creating balanced solutions that meet the criteria of desirability, feasibility, and viability.
  • Entrepreneurs and Startups: Innovators seeking to validate ideas efficiently, minimize risks, and accelerate time-to-market.

Learning Outcomes

This course equips you to leverage AI-powered tools and methodologies to design, prototype, and validate user-centered solutions for desirability, feasibility, and viability within the Design Sprint framework.

Upon completion of this program, participants will be able to:

  1. Design and execute iterative prototyping and user-testing processes to validate ideas across desirability, feasibility, and viability dimensions.
  2. Leverage AI-enhanced tools (e.g., GPT, DALL·E, AICG, AR/VR, Sentiment Analysis, and Social Listening) to efficiently create prototypes, analyze user feedback, and optimize the solution validation process.
  3. Develop a comprehensive solution validation strategy using tools such as Learning Cards, Testing Cards, Risk Assumption Matrices, and Prototyping Strategy Maps to ensure user-centered, data-driven innovation.
  4. Utilize over 50 advanced AI-driven prototyping tools, categorized into three core areas (Functional, Interactional, and Call-to-Action Prototyping), to transform creative concepts into impactful and innovative outcomes efficiently.

Remark: This course is day 3 of the 3-Day Design Sprint Certificate Training Course

Learning approach: Learning by Doing (Practices: 50% | Lecturing: 20% | Case study: 20% | Reflection: 10% )

Course Content

This interactive course is designed to equip you with the Design Thinking and Design Sprint mindset, tools, and skills necessary to drive bold innovations. Engage in a dynamic learning journey that includes highly interactive sessions and culminates in collaborative group work focused on addressing a human-centered challenge. Our commitment to a “learning-by-doing” philosophy guarantees practical application and immediate implementation of the concepts taught.

Pre-Course Preparation

Before the course begins, participants will receive a comprehensive set of learning materials, including pre-course readings and videos, to foster a preliminary understanding of Design Sprint concepts.

This preparatory phase is designed to help participants develop a readiness mindset and maximize their learning effectiveness by utilizing the pre-course materials provided.

Session 1: Design Sprint Execution Model
  • Understanding the Four Stages of a Design Sprint Overview of the structured process—Discover, Define, Develop, and Iterative Deliver stages.
  • Key Roles and Responsibilities Clarifying team roles, users, and stakeholder involvement to ensure sprint success.
  • Developing the Prototyping Strategies Using Risk Assumption Matrices, Learning Cards, and Testing Cards.

Session 2: Deliver Stage – Functional Prototyping for Validating Desirability
  • Building User-Centered Prototypes Develop prototypes that address user needs, preferences, and pain points to ensure desirability.
  • AI-Driven Rapid Prototyping: Use tools like DALL·E to generate visual designs and GPT to create user journey narratives to produce quick content prototypes.
  • User Testing Insights Leverage sentiment analysis tools to evaluate user feedback and uncover emotional responses to prototypes.

Session 3: Deliver Stage – Interactional Prototyping for Validating Feasibility
  • Simulating Interactions Create prototypes that demonstrate functionality and test workflows for technical feasibility.
  • AI-Enhanced Feasibility Testing Leverage AR/VR tools to simulate complex interactions and GPT to document workflows to enhance prototype interactivity.
  • Collaboration Through AI Use Miro for collaborative mapping, ChatGPT for technical problem-solving, and AI-driven performance analysis tools to identify bottlenecks.

Session 4: Deliver Stage – Call-to-Action Prototyping for Validating Viability
  • Testing Business Viability Align prototypes with business goals to ensure financial and operational sustainability.
  • Call-to-Action Design Create prototypes that test user willingness to act (e.g., sign-ups, purchases, or commitments).
  • AI Tools for Viability Analysis Use predictive analytics and social listening tools to gauge market sentiment to refine new solutions.

Follow-Up Session

Participants will benefit from the post-course follow-up sessions, which are designed to assist them in overcoming challenges related to applying Design Sprint techniques in their daily work environments.

This support is crucial for translating the learning experience into practical workplace performance.

Course Leader

Mr. David Chung – He is the Dean of DesignThinkers Academy China and an internationally renowned author. He has published three first-ever articles exploring the application of Design Thinking and Design Sprint in Hong Kong’s aviation, hospitality, and financial industries, providing innovative insights into the field.

Certificates

Suppose you are not a graduate of the Design Thinking Fundamentals Course, upon completing this course and meeting the attendance requirement. In that case, you will receive a DesignThinkers Academy AI-Enhanced Iterative Prototyping and User Testing Training Course Certificate. The course certificate is an advanced digital credential created using blockchain technology.

Suppose you are already a graduate of the Design Thinking Fundamentals Course upon completing this course and meeting the attendance requirement. In that case, you will receive a DesignThinkers Academy AI-Enhanced Design Sprint Training Course Certificate (Details), recognizing your mastery of the end-to-end design sprint methodology. The course certificate is an advanced digital credential created using blockchain technology. Please note that this opportunity will only be available until December 31, 2025.

Date, Time, Tuition Fee, Registration

Date: 24 May 2025

Time: 9:00 am to 6:00 pm (Duration: 8 hours)

Venue: Kwun Tong District, Kowloon, Hong Kong

Tuition Fee: HK$4,250 (Early Bird, One month Before Class Start) | HK$4,500 (Standard Fee) [9 seats left]

Inquire: +852 6395 9027 (WhatsApp)

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