Group 1 - The core idea emphasizes the importance of prioritizing demands to maximize the value of limited R&D resources through a multi-dimensional evaluation framework that includes "value," "cost," and "risk" [1][4] - The top priority in demand evaluation is the alignment with business value and strategic goals, which serves as the guiding principle for decision-making [3][7] - Demand prioritization is fundamentally an economic game of opportunity cost, where every demand represents a potential project vying for scarce R&D resources [4][5] Group 2 - The first criterion for prioritization is business value and strategic alignment, which assesses whether a demand can significantly contribute to achieving key strategic objectives [7][8] - The second criterion focuses on user value and pain points, determining the breadth and depth of the problem a demand addresses for users [9][10] - The third criterion evaluates cost and complexity, analyzing the effort required for implementation and the associated risks [11][12] Group 3 - The fourth criterion considers timing and dependencies, assessing whether the current moment is the right time to pursue a demand and identifying any necessary prerequisites [13][14] - In practice, these criteria should not be treated in isolation but rather integrated into a comprehensive prioritization process that balances multiple dimensions [15][16] - Quantitative models like RICE and WSJF serve as frameworks to mathematically combine these various criteria into a single comparable score [17][18] Group 4 - Regular team meetings, such as backlog refinement sessions, are essential for collaborative prioritization, allowing input from various stakeholders [19][20] - Tools can help make prioritization criteria explicit, enhancing transparency and data-driven decision-making [21][22] - The weighting of prioritization criteria may change depending on the product lifecycle stage, with different focuses at various phases [22][23]