Usually, when solving problems, generating candidate solutions isn't difficult. What is difficult is finding hidden ideas, or sorting through ideas to isolate the most promising ones. Here's a little catalog of ideas for sorting ideas.
- Examine boring ideas
- Look for ideas that seem workable but boring. Their dreary nature can lead to a bias against them. Few people want to work on them, and securing resources for them might be difficult because they're so unexciting. But workability is what counts. Set your own bias aside, and seek ways to persuade others to do the same.
- Examine unoriginal ideas
- Lack of originality is another source of bias against ideas. Look for an idea that someone has already tried. If it proved unworkable, ask why. If those reasons are still in place, can you remove them or skirt them somehow?
- Examine inelegant ideas
- Because inelegance can be more repulsive than workability can be attractive, we often reject inelegant but workable ideas. To recruit supporters, or to secure resources, emphasize that success is a form of beauty.
- Examine politically encumbered ideas
- Some Some perfectly workable ideas
are rejected, or regarded as
unworkable, when they
carry political baggageperfectly workable ideas are rejected, or regarded as unworkable, when they carry political baggage. Perhaps they offend someone powerful, or they don't conform to the preferences of another powerful person. In these cases, the problem to be solved is political in nature. Focus not on the original problem, but instead on the politics. - Examine expensive ideas
- Yet another source of bias against ideas is their apparent cost, or their apparent need for skills and knowledge that are in short supply. In these cases, work on resolving the resource issues. What can you do to reduce costs? How can you be clever about finding people who can do the job?
- Examine crazy ideas
- Ideas with reputations for being obviously crazy sometimes inherit their reputations from the people who originated them, rather than by earning their reputations by being truly crazy. Look carefully at the idea itself, setting aside what you know about its originator. Is the idea itself truly crazy?
- Examine past successes
- When you finally solved a problem, what was the critical element that led to a solution? By examining your history, you might find a pattern among those critical elements. Patterns can arise from weakness in problem-solving skills, or unfamiliarity with the problem domain, or the culture in which you work. If you can identify the pattern, you can use it to guide a search for solutions to the current problem.
Finally, deal with your own biases by intentionally searching for ideas you regard as crazy. This stance helps to relax the constraints that conceal solutions. When you find an intriguingly crazy solution, ask, "What makes it crazy?" Can you adjust it so that its craziness is no longer obvious? Is there anything about it that could be useful? Top Next Issue
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Related articles
More articles on Problem Solving and Creativity:
- Organizing a Barn Raising
- Once you find a task that you can tackle as a "barn raising," your work is just beginning.
Planning and organizing the work is in many ways the hard part.
- The Tyranny of Singular Nouns
- When groups try to reach decisions, and the issue in question has a name that suggests a unitary concept,
such as "policy," they sometimes collectively assume that they're required to find a one-size-fits-all
solution. This assumption leads to poor decisions when one-size-fits-all isn't actually required.
- Wishful Thinking and Perception: II
- Continuing our exploration of causes of wishful thinking and what we can do about it, here's Part II
of a little catalog of ways our preferences and wishes affect our perceptions.
- Conway's Law and Technical Debt
- Conway's Law is an observation that the structures of systems we design tend to replicate our communication
patterns. This tendency might also contribute to their tendency to accumulate what we now call technical debt.
- Goodhart's Law and Gaming the Metrics
- Goodhart's Law is an observation about managing by metrics. When we make known the metrics' goals, we
risk collapse of the metrics, in part because people try to "game" the metrics by shading
or manufacturing the data to produce the goal result.
See also Problem Solving and Creativity and Problem Solving and Creativity for more related articles.
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