How to Lead Change with Decision Science
With Dig Insights | Part of the Innovation Insights Summit Oct 2023
- on-demand webinar
- Innovation Research
- Innovation Testing
- Concept Screening
- Concept Testing
- NPD (New Product Development)
- Product Development Research
- Product Testing
- Ideation
- Brand Research
Learn how to apply Decision Science for more predictive innovation research and more successful new product development with Dig Insights.
A strong understanding of how your organization can innovate is crucial to making an impact in today’s crowded markets.
This requires an approach to research and analysis that reflects the way consumers make purchasing decisions right now – which is harder than it sounds. That’s where Decision Science comes in.
In this presentation, Jess Gaedeke, CRO at Dig Insights, will dive into what Decision Science is and how we leverage this approach to research with some of the world’s leading global brands.
Jess will explain how we define innovation, identify consumer needs, and test and optimize innovations to ensure success in-market.
Historically, innovation has felt inherently risky. With the right data and predictive modelling, it doesn’t have to be.
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Part of the Innovation Insights Summit: sign up once for access to all sessions and recordings
Learn how to apply Decision Science for more predictive innovation research and more successful new product development with Dig Insights.
A strong understanding of how your organization can innovate is crucial to making an impact in today’s crowded markets.
This requires an approach to research and analysis that reflects the way consumers make purchasing decisions right now – which is harder than it sounds. That’s where Decision Science comes in.
In this presentation, Jess Gaedeke, CRO at Dig Insights, will dive into what Decision Science is and how we leverage this approach to research with some of the world’s leading global brands.
Jess will explain how we define innovation, identify consumer needs, and test and optimize innovations to ensure success in-market.
Historically, innovation has felt inherently risky. With the right data and predictive modelling, it doesn’t have to be.
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Speakers
Jess Gaedeke
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