Characteristics of a good problem

A good problem, whether in a mathematical, scientific, business, or personal context, typically exhibits several key characteristics:

**Clarity**: The problem should be clearly defined, with specific parameters and goals, allowing for a straightforward understanding of what needs to be addressed.

**Relevance**: It should be significant and relatable to the context in which it exists, whether it's for an individual, a team, or a larger community. A relevant problem engages stakeholders and motivates them to seek a solution.

**Challenge**: A good problem is challenging enough to require thought and effort in order to solve, but not so complex that it becomes overwhelming. It strikes a balance that encourages engagement and perseverance.

**Open to Exploration**: The problem should allow for multiple approaches and solutions, promoting creativity and critical thinking. It should not have a single, obvious answer but instead invite inquiry and exploration.

**Feasibility**: The problem should be solvable with the resources, knowledge, and time available. While it can be ambitious, it should remain within the realm of possibility.

**Measurable**: There should be a way to assess the progress and outcomes of solving the problem, allowing for objective evaluation of success.

**Impactful**: A good problem often has the potential to lead to significant insights, improvements, or changes once solved, making the effort to address it worthwhile.

**Timeliness**: The problem should be relevant to the current situation, addressing immediate needs or opportunities, and not be something that would have been better addressed in the past.

**Engaging**: It should evoke interest, curiosity, and enthusiasm among those involved in finding a solution, helping to foster teamwork and collaboration.

**Educational Value**: A good problem can teach something new or deepen understanding, contributing to personal or collective growth.

These characteristics can help guide individuals or teams in identifying and constructing problems worth solving in various contexts.