
Stainless steel cutlery. Stainless steel is a relatively recent invention, discovered by Harry Brearley at the Brown Firth Laboratories in 1913. With trouble brewing in Europe, arms manufacturers had a strong interest in developing metals that were more wear-resistant for use in gun barrels. Brearley was investigating chromium iron alloys when he discovered one formulation that was especially corrosion-resistant. Cutlery of the day was made of silver (we still call it silverware), or more often, plated steel, but corrosion of the steel, and tarnishing of the silver, were ongoing problems. Brearley's "rustless steel" was immediately successful. Though his employers had little interest in becoming cutlery manufacturers, the success of the product motivated them to claim ownership of the patent. A legal wrangle ensued, and Brearley resigned.
The outcome might have been much more beneficial for all concerned, including society at large, if Brown Firth had had a more sophisticated process for capturing knowledge generated as a byproduct of its problem solution experiments.
The formulation of stainless steel that eventually became a standard, and which is still in use today, was developed by Brearely's successor. Read more at Wikipedia. Photo (cc) by 3.0 Hannes Grobe.
As we've seen, collaborative problem solving does have risks — new ideas might be crushed prematurely, judges might be intimidated, and more. Risks continue when we move to experimentation or prototyping. Let's now examine how to avoid some of the troubles that can arise during experimentation.
- Design experiments to facilitate learning
- Most experimental efforts are designed merely to determine whether an idea "can work," but that isn't enough. We need to know not only whether the idea can work, but also what its weaknesses are, how severe they are, and how we can address them.
- Regard each experiment as an exploration of the solution and how it interacts with a hostile environment. Try to determine the consequences of its misbehavior, and the cost of eliminating that misbehavior.
- Capture learning from experiments
- Experiments — especially well-designed experiments — create knowledge. Since experiments cost time and resources, we must be prepared to capture all the knowledge they create. We sometimes adjust experiments on the fly in response to what we're learning. Although these adjustments can be helpful if the adjusted experiment is still well designed, that isn't always the case. Sometimes the result of adjusting experiments on the fly is a muddled mess from which we can learn little, if anything at all.
- When conducting experiments to test newborn ideas, provide a means of capturing and storing generated ideas in such a way that they don't interfere with the ongoing experiment. When the new learning does demand immediate adjustment of the current experiments, take care to adjust them in ways that can still produce useful experimental results. That care takes time and effort, which means schedule and budget.
- Protect experiments from transition to production
- One of the most common tales of tragedy is that of the prototype that got sold to a customer. The interference of production with experimentation creates two classes of problems. First, because the prototype was intended as an experiment, it often has attributes and structures that make it unreliable and expensive to maintain or enhance. Second, if the pattern of interference of production with experimentation has occurred before, the experimenters learned long ago that they must take steps to make the prototypes more durable than ordinary experiments would have to be.
- The resultOne of the most common
tales of tragedy is that of
the prototype that got
sold to a customer is that experimentation is more expensive than it needs to be, and maintaining or enhancing fielded products that are former prototypes is more expensive than it needs to be. In short, the result is neither a good prototype nor a good product. - When conducting experiments to test newborn ideas, conduct experiments. Insulate the experiments from any pressure to convert them into products. Your experiments will be cheaper, and when the time comes to actually build a product, it will be built right.
If one of these ideas for experiments is itself a new idea for your organization, try adopting it — but experiment first. First issue in this series
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Related articles
More articles on Problem Solving and Creativity:
How to Reject Expert Opinion: II
- When groups of decision makers confront complex problems, and they receive opinions from recognized
experts, those opinions sometimes conflict with the group's own preferences. What tactics do groups
use to reject the opinions of people with relevant expertise?
How to Foresee the Foreseeable: Preferences
- When people collaborate on complex projects, the most desirable work tends to go to those with highest
status. When people work alone, they tend to spend more time on the parts of the effort they enjoy.
In both cases, preferences rule. Preferences can lead us astray.
Start Anywhere
- Group problem-solving sessions sometimes focus on where to begin, even when what we know about the problem
is insufficient for making such decisions. In some cases, preliminary exploration of almost any aspect
of the problem can be more helpful than debating what to explore.
During-Action Reviews
- When you depend on internal services to get your job done, and they aren't being delivered in a customer-oriented
fashion, solving the problem during the incident isn't likely to work. Here are seven tips for addressing
the issue.
The Reactive Rescheduling Cycle
- When the current schedule is no longer viable, we reschedule. But rescheduling is unlike devising a
schedule before work has begun. People know that we're "behind" and taking time to reschedule
only makes things worse. Political pressure doesn't help.
See also Problem Solving and Creativity and Problem Solving and Creativity for more related articles.
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