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Prioritize solutions based on impact and feasibility from "summary" of Cracked it! by Bernard Garrette,Corey Phelps,Olivier Sibony

When faced with a complex problem, it is crucial to consider not only the potential impact of different solutions but also their feasibility. Impact refers to the extent to which a solution can address the root cause of the problem and produce positive outcomes. Feasibility, on the other hand, relates to the practicality of implementing a given solution within constraints such as time, resources, and organizational capabilities. To effectively prioritize solutions based on impact and feasibility, one must first conduct a thorough analysis of the problem at hand. This involves identifying the underlying causes, potential barriers to implementation, and the desired outcomes. By gaining a deep understanding of the problem, teams can better assess which solutions are most likely to have a significant impact and be feasible to execute. Once a range of potential solutions has been identified, it is important to evaluate each option against criteria such as cost, time, resource requirements, and organizational fit. This analysis helps to determine which solutions are most likely to deliver the desired impact while being realistic in terms of implementation. In some cases, a solution may have a high potential impact but be deemed unfeasible due to resource constraints or other practical limitations. Conversely, a solution that is highly feasible may not have a significant impact on addressing the root cause of the problem. By carefully weighing the impact and feasibility of different options, teams can prioritize those solutions that offer the best combination of positive outcomes and practical implementation.
  1. The goal of prioritizing solutions based on impact and feasibility is to focus efforts on those options that are most likely to address the problem effectively and be successfully implemented. By taking a systematic approach to decision-making and considering both the potential impact and feasibility of different solutions, teams can increase their chances of cracking even the most challenging problems.
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Cracked it!

Bernard Garrette

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