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Experiment-Driven Product Innovation with Carlos Oliveira

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Michael L. and 4 others
Experiment-Driven Product Innovation with  Carlos Oliveira

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Organizations need a way to test new ideas and fast, kill ideas that don’t work and iterate on the ones that show more promise. In 2017, Ideo studied innovation in over 100+ companies and found that when teams iterate on five or more different solutions, they are 50% more likely to launch a product or service successfully. The practice of continuous product improvement and innovation is a cycle of experimentation, where teams rapidly test leap-of-faith assumptions and get evidence to support key business decisions, ultimately, helping to build consensus and collaborate more effectively with stakeholders. A common challenge is having the discipline to identify, test and track progress towards innovation and making the cycle of experimentation and learning a key practice on any team.

Join us to hear more about how your organization and team can adopt an experimentation mindset and embed the practice of experiment-driven product innovation. Carlos Oliveira, principal consultant at adaptiveX will speak on the topic and walk us through the Product Innovation Canvas as well as the Innovation Kata, a process to help teams think big, start small, and take the necessary steps to learn more about their customers, and start solving real problems sooner.

Carlos Oliveira is a principal advisor at adaptiveX, a product design and innovation consultancy. Working at the intersection of human-centered design and business strategy, adaptiveX helps organizations uncover new opportunities, design better products and services, and evolve business models. Carlos will be sharing his experience working with fortune 500 companies over the past couple of years, giving an overview of company-wide processes to support innovation and product development.

The Innovation Kata is inspired by and adopted from Melissa Perri's Product Kata which you can read more about in her latest book, Escaping the Build Trap.
Don't miss this talk.

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