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Ideas are easy, good ideas are hard

Jeffrey Phillips

I'm writing a series of posts that examine some of my lessons learned after over 15 years of corporate innovation consulting. Past posts have included the concept of needing a why and a how for innovation , why ideas need a sponsor and how to understand the range of innovation options your company will consider.

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Creating Innovation Connections as the Customer Advocate

IdeaScale

For example, Amazon developed a system to enable competitors to sell on its website, even when competitors offered cheaper prices. They can find product reviews—whether positive or negative, can post their own reviews, can interact with other customers, and can even sell their used products back to others.

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AI-Powered Design Thinking: Accelerating Innovation and Insights

Leapfrogging

Businesses that innovate can respond to shifts in consumer behavior, leverage emerging technologies, and enter new markets with agility. Examples of AI in the Design Process AI’s application within the Design Thinking process is multifaceted. Additionally, the use of AI in Design Thinking is not limited to the examples provided.

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Crafting the Path to Success: Designing Leadership Team Offsites for Strategic Planning Triumph

Leapfrogging

You may want to consult resources on how to design and run a strategic planning offsite to ensure you’re on the right track. Additionally, ensure that the venue has the necessary facilities and technology to support your sessions—such as reliable Wi-Fi, projection equipment, and breakout rooms.

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Shifting Radically the Innovation Business Model

Paul Hobcraft

I have been spending some significant time on questioning the current innovation business model, from both the customers (clients) perspective and the innovation consultants’ one. In my research I certainly felt also the innovation consultant is struggling. The innovation consultants’ dilemma. It simply pisses the employee off.

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The Future of Design Thinking: Embracing AI Tools for Success

Leapfrogging

As a methodology, it is open to adopting new tools and technologies that enhance the process, including the integration of artificial intelligence in design thinking. This allows managers, executives, and consultants to focus on more strategic elements of innovation. This helps to spark creativity and inspire new concepts.

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The Future of Design Thinking: Integrating Artificial Intelligence for Success

Leapfrogging

This process is widely adopted by managers, executives, and consultants to drive new product development, service innovation, and business model refinement. For example, sentiment analysis algorithms can sift through social media posts, reviews, and feedback to gauge public opinion about a product or service.