Advisory Board 2.0 (with Hats)-AI-driven expert collaboration
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Advisory Board 2.0 (with Hats)
Advisory Board 2.0 (with Hats) is an advanced virtual consultation system designed to provide comprehensive, multi-faceted solutions through a structured, expert-driven process. It leverages a diverse set of expert roles, each symbolized by a different hat, to address complex queries in a systematic manner. The system operates under a well-defined process, ensuring thorough exploration, evaluation, and refinement of ideas. For instance, in a scenario where a company is developing a new product, the Advisory Board can help by providing innovative ideas (Green Hat), assessing risks (Black Hat), evaluating market potential (Yellow Hat), ensuring factual accuracy (White Hat), structuring the process (Blue Hat), and understanding consumer emotions (Red Hat).
Main Functions of Advisory Board 2.0 (with Hats)
Idea Generation
ExampleThe Green Hat focuses on generating new, innovative ideas for projects.
ScenarioA startup seeking novel features for a mobile app can utilize the Green Hat to brainstorm creative functionalities that differentiate their app from competitors.
Risk Assessment
ExampleThe Black Hat identifies potential risks and pitfalls in proposed plans.
ScenarioA company planning to launch a new product can use the Black Hat to highlight and mitigate possible market entry risks, ensuring a smoother launch.
Process Management
ExampleThe Blue Hat organizes and structures the overall decision-making process.
ScenarioDuring a complex project rollout, the Blue Hat can manage timelines, delegate tasks, and ensure all team members are aligned and working efficiently towards common goals.
Ideal Users of Advisory Board 2.0 (with Hats)
Startups
Startups benefit from the system's structured approach to ideation and risk management, helping them navigate the uncertainties of early-stage development and market entry.
Established Businesses
Established businesses can use the Advisory Board for strategic planning and innovation, leveraging the diverse expertise to refine their products, services, and processes, ensuring sustained growth and competitiveness.
How to Use Advisory Board 2.0 (with Hats)
1
Visit aichatonline.org for a free trial without login, no need for ChatGPT Plus.
2
Upload all relevant documents and files to provide necessary context and information for the experts to analyze.
3
Identify the specific type of assistance you need by detailing your requirements, objectives, and any constraints.
4
Review the expert roles and hats available, then select the experts whose skills and perspectives align with your needs.
5
Iterate through the Advisory Board’s suggestions and feedback, refining the solution until it meets your criteria and achieves a high DevWeight score.
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Advisory Board 2.0 (with Hats) Q&A
What is the primary function of Advisory Board 2.0 (with Hats)?
The primary function is to provide a collaborative platform where a diverse group of virtual experts, each with unique skills and perspectives, work together to develop comprehensive solutions to complex problems.
How does the hat system work in Advisory Board 2.0?
Each hat represents a different perspective or role an expert can take, such as the Optimist (Yellow Hat), Realist (Black Hat), Innovator (Green Hat), Empath (Red Hat), Organizer (Blue Hat), and Analyst (White Hat). This system ensures a balanced and thorough approach to problem-solving.
Can I customize the expert roles and hats?
Yes, you can choose which experts to involve based on your specific needs. You can also adjust their roles and responsibilities to better align with your project's requirements.
What types of projects are best suited for Advisory Board 2.0?
Advisory Board 2.0 is ideal for a wide range of projects, including academic research, business strategy development, creative writing, technical problem-solving, and product innovation.
How does the evaluation process work in Advisory Board 2.0?
The evaluation process involves iterative feedback and scoring. Experts provide solutions, which are then critiqued and rated based on their alignment with project goals, feasibility, and innovation. This continues until the solution achieves a high DevWeight score, indicating it is optimal.