Week 2 기획 과제 (SCAMPER Technique)

1: Write about thoughts on using SCAMPER and how the technique is applied in the process during the session

During the session held on Monnday, within groups of 4, we were able to think of new products and see how the SCAMPER technique could be applied when new products were made. This made me realise that regardless of the product, any component of the SCAMPER technique could be applied in order for it to benefit a certain target audience. During the session, the technique was applied to the product by thinking of what makes this product different from previous products? How can people benefit from this product more than past ones? And finally, what is really necessary and not when it comes to that specific product.

For the product idea that we thought of during the session, we applied Adapt and Modify from the SCAMPER technique to improve a product named Octobuddy, to help with the user’s convenience to allow for the phone to stick on a surface only when the user wants it to. In order to do so, we modified the product by creating a phone case with the Octobuddy attached and adding a cover for this octobuddy that can be removed. By doing so, we modified previous products and in order to prevent the Octobuddy from sticking at times that the customer does not want it to stick to surfaces, we adapted the product so that the cover can be put on whenever the customer decides to.

I personally thought that the SCAMPER technique was really interesting as I have very limited knowledge based on Business and Marketing, so learning this technique to look and create products through seven different perspectives for issues that customers have was really innovative.

2: Apply the SCAMPER technique to interpret how GenAI is used in a company

An example of Generative AI (GenAI) is GitHub Copilot, an AI coding assistant that provides suggestions and code completions based on the user's coding environment and GitHub projects. A notable case study is Shopify, a global e-commerce platform that utilizes GitHub Copilot to enhance software development efficiency. By automating repetitive tasks, Copilot allows Shopify's development team to focus on future platform improvements.

Shopify also employs the SCAMPER technique to improve its platform. Through GitHub Copilot, Shopify substitutes manual coding, increasing efficiency and reducing human errors. Additionally, Copilot is used beyond coding to generate product descriptions, demonstrating AI's versatility in content creation. This AI-driven approach facilitates easier onboarding for new team members by providing consistent guidance on coding practices and libraries. To further enhance its platform, Shopify combines Copilot with other AI tools like Klaviyo and SEOAnt.

Shopify's integration of GitHub Copilot, combined with other AI tools, not only boosts development efficiency but also expands AI applications, such as generating product descriptions. This showcases AI's versatility in content creation and allows Shopify to streamline marketing processes. This adaptability is crucial for maintaining a dynamic e-commerce platform that can quickly respond to changing consumer behaviors and market trends.

Moreover, Shopify's modification of Github Copilot's configurations to address niche library challenges improved its effectiveness. By optimizing Copilot for specific library requirements, Shopify ensures that its development team can leverage the full potential of AI-driven coding assistance, leading to faster innovation cycles and more robust software solutions.

Looking ahead, Shopify's future development direction likely involves integrating more sophisticated AI models. As a shopping platform, the company may explore personalized techniques, utilizing AI to offer tailored product recommendations and enhance customer experiences. Additionally, AI-driven analytics can play a vital role in providing merchants with insights into customer behavior, helping them optimize their storefronts and marketing strategies.

The integration of AI into Shopify also has significant societal implications. On one hand, automating repetitive tasks can lead to a shift in job roles, with a greater emphasis on creative and strategic positions. This might necessitate retraining programs to help workers adapt to new roles focused on AI oversight and strategy. On the other hand, increased reliance on AI will drive demand for improved digital literacy, ensuring that both developers and users can effectively interact with and manage AI systems. Furthermore, as AI becomes more pervasive, ethical considerations will become increasingly important, requiring companies like Shopify to establish clear guidelines on AI use to ensure transparency and fairness in AI-driven decision-making processes.