article thumbnail

Have organizations become more collaborative over 25 years? What has enabled that?

Paul Hobcraft

(First post here ) So this post, in a series of three, looks at the answers given by Google’s Gemini on how collaboration and ideation evolved the organization’s ability to adapt and what helped. Ideation From closed to open: The way ideas are generated is changing. Has the methodology changed?

article thumbnail

25 years of Innovation- how has it evolved? Has it been successful?

Paul Hobcraft

The second post , coming next, focuses on how organizations have become more collaborative, open and agile and deal with ideation and what tools and technologies seem to have emerged as the leading ones. The third post following, is where I see it heading: into Ecosystems and Platforms to drive innovation performance.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Recognizing the Building Blocks of Innovation

Paul Hobcraft

The tool and techniques that stand out for me, in their contribution, value and my use have been, in no specific order, cover the jobs-to-be-done , ten types of innovation, crossing the chasm , blue ocean, business model canvas and value proposition canvas, building core competencies , lean start-up, agile and design sprints.

article thumbnail

The future interplays between design thinking, technology and AI

Paul Hobcraft

This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.

article thumbnail

Boosting Innovation: Harnessing AI for New Product & Service Development

Leapfrogging

AI technologies are enabling a more data-driven approach to innovation management, enhancing the ability to predict trends, understand consumer behavior, and generate creative ideas at scale. Consumer Insights AI can analyze consumer data to uncover hidden preferences and needs.

article thumbnail

AI-Powered Design Thinking: Accelerating Innovation and Insights

Leapfrogging

Defining Design Thinking Design thinking involves five key stages: empathize, define, ideate, prototype, and test. When organizations integrate artificial intelligence in design thinking , they enhance their ability to process large volumes of data, uncover hidden patterns, and deliver personalized experiences.

article thumbnail

The Importance of Staying Scrappy in an AI-Driven Era

Tullio Siragusa

As AI and sophisticated systems become the norm, it’s essential for organizations to retain their creative spirit, agility, and grit. Customer research, user testing, concept ideation — these tasks require a deep understanding of human needs and emotions. Don’t let your tech stack undermine your agility.