5 Problem Solving models to stimulate creative thinking

Problem solving has been a curiosity of mine for some time. Before becoming aware of the why, I was making ill-informed or ill-thought decisions. These are those decisions keeping us up at night.

Here are some of the common (and not-so-common) models for problem solving that I have collated over time.

1. SWOT — probably the best known tool within this list. In SWOT Analyses, we examine internal strengths and weaknesses as well as the external opportunities or threats. People may find limits in this mode of thinking, however a simple change in perspective can turn this into an entirely different analysis. For example, once your own perspective is complete, think from the mind of a competitor — whilst being aware of your assumptions, of course.
2. PEST — we can often be limited to the business confines of our thinking. This model is one that seeks to broaden our considerations to the Political, Economic (and/or Environmental), Social and Technological. What are the relevant implications on each of these factors of a particular decision we make?
3. PCD — a laser focus on the decision itself, PCD stands for possibilities, consequences and decision. What are the possibilities available? Think big picture and bold opportunities with a taste of realism. Are there consequences for these possibilities? Is there a higher risk associated to one possibility? Ultimately mapping the possibilities and their respective consequences will pave the way for solid decision making.
4. PMI — plus, minus or interesting. Edward de Bono developed this upscale pros and cons model to identify the plus points, the minus points and the interesting points of a scenario or decision to be made. Things are rarely just black and white as the traditional pros vs cons would lead us to believe. De Bono’s inclusion of interesting points may seem arbitrary, but when considered, we usually buy-in far better when we have a genuine interest in what we do. This is as important as the positives or negatives.
5. STAIR — this model will help to map the procedure following any decision. Firstly, state the problem in as much detail as possible. You should be factual here. Then identify the tools you will need for the job. If the tools aren’t readily known, do some research, this step relies on some degree of consideration at the decision making phase. Then establish the algorithm or the approach you will use to execute. Algorithm is essentially used as a fancy means of fitting the acronym — it is your approach or response. You will then implement or action the algorithm/plan of attack, and finally refine. Refinement is probably the most meaningful moment in any problem solving process. It is a moment for learning, but also improvement and creeping towards ever-improving processes.

The best part about problem solving is usually excavating the root or the why of a problem. Knowing that, take care and enjoyment in the use of these models. They make for a more concrete understanding of any situation and as such will help us in the long-term.

Good luck & happy problem solving.