#5 - GenAI: The Creative Sidekick Every Product Designer Dreams Of

👋 Welcome to the fifth issue of creative currents! Get ready to be inspired and informed as we dive into the latest trends, tips, and insights from the world of generative AI. Whether you're a seasoned product designer or just starting out, this newsletter is your go-to resource for all things around creating human-centered products which people ❤️

GenAI and Product Design - why should you care?

👉 Innovative Design Exploration: Generative AI opens up new possibilities for product designers to explore innovative design solutions that may not have been considered otherwise. It can generate a wide range of design variations, helping designers uncover unique and unexpected concepts.

👉 Time and Efficiency: Generative AI can significantly speed up the design process by automating repetitive tasks and generating design options rapidly. It allows designers to focus their time and energy on refining and enhancing the generated designs, ultimately improving overall efficiency.

👉 Inspiration and Creative Catalyst: Generative AI can serve as a valuable source of inspiration, triggering new ideas and pushing the boundaries of creativity. It provides designers with fresh perspectives and prompts unconventional approaches, stimulating innovative thinking and breakthrough concepts.

👉 Personalized and Adaptive Designs: With generative AI, product designers can create personalized and adaptive designs tailored to individual user preferences or specific contexts. By leveraging data and algorithms, designers can generate designs that dynamically respond and adapt to different user needs, enhancing user experiences.

👉 Collaborative Design Opportunities: Generative AI can foster collaboration among designers, enabling them to collectively explore design possibilities and share generated ideas. It encourages interdisciplinary collaboration, where designers can collaborate with AI experts and engineers to leverage the full potential of generative AI in creating innovative products.

👉 Enhancing Design Thinking: Integrating generative AI into the design workflow encourages designers to think beyond their usual patterns and embrace a more data-driven and algorithmic approach. It expands design thinking by blending human creativity with machine-generated possibilities, leading to unique and novel design solutions.

👉 Future-Proofing Design Skills: Familiarity with generative AI and its applications in design equips product designers with valuable skills for the future. As AI continues to advance, understanding how to leverage generative AI effectively will be increasingly valuable in a technology-driven design landscape.

Picks from the Editorial Team 🤌

// 1 Streamlining the concept phase in new product development (LINK) Artificial intelligence (AI) is revolutionizing product development. Generative AI, which creates new data and designs, is transforming the design process. It helps visualize concepts, optimize designs, select materials, accelerate prototyping, and evaluate concepts. Generative AI reduces costs, improves performance, and cuts development time. While still relatively new, generative AI is being applied in various engineering fields. Its adoption requires skilled designers and engineers who understand its potential for creating innovative products. 

//2 American Express is experimenting cautiously with generative AI for fintech (LINK) AmEx Digital Labs is exploring generative AI for predictive analytics and customer understanding. They aim to predict customer behavior, improve financial planning, and analyze sentiment. Backend implementations are prioritized, and they approach AI experiments cautiously and securely. AmEx is aligned with industry trends, as other sectors are also researching and implementing generative AI

HOW to apply it in practice 🛠️ 

👉 Example prompts:

• “What are common issues with hotel booking mobile apps?

• “Name popular mobile hotel booking apps for the US market”

• “Can you tell me what customers like about booking-com?”

• “What are key business metrics for a hotel booking app?”

• “Create a few user personas for a hotel booking app”

• “What is the average payment for a hotel in destination (X)?”

• “What’s the typical user journey for a user booking a hotel using a mobile application?”

• “Design techniques that can help to connect with the user on an emotional level”

• “Write interview questions for a hotel booking app user”

• …..

Ultimate ChatGPT cheat sheet for product designers (LINK)

Using ChatGPT for UserResearch (LINK)

Strategies to improve results (LINK)

HCAI research & key takeaways 📚

Augmenting Human Innovation Teams with Artificial Intelligence: Exploring Transformer-Based Language Models (LINK)

This article highlights the growing use of transformer-based language models in AI and their impact on various industries, improving productivity in business operations. It focuses on how these models can augment human innovation teams during the new product development process, enabling the exploration of larger problem and solution spaces, resulting in increased innovation performance. The article introduces the AI-augmented double diamond framework to guide the integration of these models into tasks such as text summarization, sentiment analysis, and idea generation in new product development. It acknowledges the limitations of the technology and its potential effects on established practices in this field. The article suggests a research agenda to further investigate the use of language models and the role of humans in hybrid innovation teams.

Learn 🎓

100 Practical Applications and Use Cases of Generative AI (LINK)

Prompting (LINK)

Unclassifieds

• Generative AI will change your Business - How to adapt? (LINK)

• Classification agreement between UX researchers and ChatGPT (LINK)

• Adobe integrates AI into Photoshop amid fears of job losses (LINK)

• Canva launches magic AI tool - reaches 125M users (LINK)

• Adobe opens up its Firefly generative AI model to businesses (LINK)

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