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An introduction to Design Thinking for Innovation Managers

HYPE Innovation

Design thinking draws on logic, imagination, intuition and systemic reasoning to explore the possibilities of what could be, and to create desired outcomes that benefit the end user (the customer). A design mind-set is not problem-focused, it’s solution-focused, and action-oriented. It involves both analysis and imagination.

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The limitations, criticisms and new pathways for Design Thinking – Part One

Paul Hobcraft

Let me summarize where we are today in design thinking. In the past couple of weeks, I have been spending a fair amount of time on investigating design thinking. This is part one of my thoughts that came out of investigating and researching design thinking in the past couple of weeks.

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The limitations, criticisms and new pathways for Design Thinking – Part two

Paul Hobcraft

This is part two of my thoughts that came out of investigating and researching design thinking in the past couple of weeks. Within these two posts, I want to provide my thoughts, bridging the present and pointing towards a better design thinking future, one that in my opinion, is urgently needed. Part one is here.

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Leveraging AI to Drive the Innovation Lifecycle

Leapfrogging

AI can enhance data analysis, enabling you to identify trends and insights that may not be immediately apparent. AI in Design Thinking : Enhancing the design thinking process by identifying user needs and generating creative solutions ( ai in design thinking ). This helps you stay ahead of the curve.

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Fail Well, Pivot Fast: Product Experimentation for Continuous Discovery

Speaker: William Haas Evans - Principal Consultant, Head of Product Strategy & Design Practice, Kuroshio Consulting

Lean A3, PDSA (Plan-Do-Study-Act) and the Build-Measure-Learn or Think-Make-Check loop (to name a few loops) are all learning models informed by the notion that experimentation is the fastest (and most proven) route to product-market fit and achieving sustainable organic growth.

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AI-Powered Design Thinking: Accelerating Innovation and Insights

Leapfrogging

Introduction to Design Thinking Design thinking is a problem-solving approach that combines empathy, creativity, and rationality to meet user needs and drive successful business outcomes. Defining Design Thinking Design thinking involves five key stages: empathize, define, ideate, prototype, and test.

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Using AI to Fuel Creativity and Brainstorming

Leapfrogging

AI tools can analyze vast amounts of data, identify patterns, and provide insights that might be overlooked by human analysis alone. It involves using sophisticated algorithms and machine learning techniques to simulate human-like thinking and creativity. Idea Suggestion Provides new ideas based on input and data analysis.