Let's say a company is trying to come up with ideas for a new product. The team has gathered in a conference room for a brainstorming session. The team consists of a product manager, a designer, a marketer, and an engineer.
The product manager starts off the session by asking the team to list out any ideas that come to mind. The designer suggests a new app that helps users organize their closet. The marketer suggests a new line of organic cleaning products. The engineer suggests a new type of reusable water bottle that can filter water on the go.
The team then starts to discuss each idea in more detail, with the product manager taking notes on a whiteboard. As they discuss the closet organizing app, they start to draw out data on user demographics, such as age range, income level, and location. They also draw out data on user behaviors, such as how often they clean their closets and what types of items they typically store.
As they discuss the organic cleaning products, they draw out data on consumer trends in the health and wellness industry, as well as data on the environmental impact of traditional cleaning products. They also discuss potential marketing strategies and draw out data on target markets and advertising channels.
As they discuss the reusable water bottle, they draw out data on environmental concerns around single-use plastics, as well as data on consumer preferences for convenience and portability. They also discuss potential manufacturing challenges and draw out data on production costs and potential profit margins.
Overall, the brainstorming session allows the team to generate and explore a variety of ideas, and the data they draw out helps to inform their decision-making process and identify potential opportunities and challenges.
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