Topic 4. Problem-solving matrix
The process of homing in on the best possible solution is framed by
a series of problem-solving matrices. The columns of a matrix are headed
by the specifications, the rows by the ideas for alternative solutions.
Alternatives can
be ranked on a simple scale of good, bad and neutral (+, - and 0) or
a more sophisticated scale that gives additional weight to the most
important specifications. The best solution is the one that garners
the most points by satisfying the most specifications. For example,
an engineering team working on a town's parking and traffic problems
might brainstorm the idea for banning cars from the downtown area. This
idea would score well for reliability but not for practicality. The
best solution will score well for all specifications.
The Purpose:
To rank possible
solutions to the design challenge.
The Procedure:
1. List all alternative ideas in the light column.
2. List all the important specifications in the top row.
3. Rank each idea on a simple and good, bad, neutral scale.
4. The best solution is the one that governs the most points by satisfying
the most specifications.
Problem-Solving
Matrix
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Understanding
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