What if the most useful idea for your business is already working in a place you would never think to look?
It might be in a small workshop, a coastal enterprise, or an industry that seems unrelated to yours. You could walk past it because the product looks unfamiliar. Or you could stop and ask: what problem does this solve, how does it work, and could the same principle help us?
That shift in attention opens a different route to innovation. It starts with curiosity about what others have learned, followed by the discipline to find out whether that learning can travel.
Scale the ability to adapt
Standardization has a clear appeal: develop a successful model, repeat it, and make delivery more consistent. It remains useful wherever the conditions support repetition. But a model carries assumptions about its customers, workforce, infrastructure, costs, and relationships. Those assumptions may stop holding when the setting changes.
Our proposition is that organizations can also scale their ability to adapt. Give more people the skills to recognize useful ideas, understand their logic, and test them locally. The shared asset becomes a way of learning that many teams can use.
Look beyond the familiar
Teams can narrow their search without noticing. They consult the same competitors, attend the same events, and ask familiar experts familiar questions. A different obstacle appears when an external idea is dismissed because it came from outside: the attitude often called “not invented here.”
Neither problem is solved by collecting more inspirational examples. People need time and a method for examining unfamiliar ideas. An MIT study of pharmaceutical development teams associated positive outcomes with continuing external search alongside intensive communication and flexible decisions. Looking outward and working well internally need to go together.
For an organization, that suggests a practical starting point: make examining ideas from elsewhere part of ordinary work, and give local teams a voice in deciding which are worth testing.
Three questions that make an idea easier to translate
At Localize This Idea™, we use Objective, Mechanism, and Conditions to look beneath a product’s visible form.
- 01 Objective
- What are we trying to achieve?
- 02 Mechanism
- How does it work?
- 03 Conditions
- What has to be true for this mechanism to achieve that objective?
These questions help distinguish a useful principle from the particular materials, skills, and arrangements that made it possible in its original setting. They also keep us honest: an attractive example is a starting point for investigation, not proof that the opportunity exists here.
From fishing nets to a leather workshop
Consider an illustrative example: a business turns discarded fishing nets into useful products, inspiring a leather workshop to explore whether its offcuts could become stacked-leather pen barrels.
The shared objective is to create viable local income by recovering value from discarded materials. The broad mechanism connects collection, suitable processing, and sales. The product and production method can change substantially.
The local questions are concrete. Are the offcuts consistent enough? Who can make a durable pen barrel? What do the components and labor cost? Will customers pay a price that covers the full work? A sustainability story may attract attention, but the business still needs quality, demand, and workable economics.
Discover explains the original idea. Transfer identifies another setting where its principle might be useful. Adapt works through what must change on the ground. Explore the example through all three stages.
Let local teams help write the next version
A shared company playbook can record the objective, the mechanism, the conditions observed, and the evidence behind a result. It should also make uncertainty visible: what remains unknown, what failed, and what a new team would need to check.
Local teams can then propose changes, run small tests, and send their findings back. Headquarters can provide resources and shared standards while people closest to the customers and operations shape the execution. Each test adds something useful to the organization’s collective knowledge.
AI can widen the search. Local evidence grounds the decision.
AI can help compare examples, surface patterns, and generate questions. Research on analogical search in scientific papers has demonstrated tools that support creative ideation by looking beyond simple keyword matches. Discovery can benefit from these tools.
Local investigation establishes whether a supplier has usable material available this week, a workshop can achieve the required finish, and a buyer is ready to place an order. Conversations, observation, and small tests turn promising research into evidence you can act on.
A productive workflow connects broad search with local conversations, observation, and testing. Each informs the next question.
Confidence to take the next useful step
Adaptive confidence is the ability to pursue a clear objective while staying flexible about how to achieve it. It draws on knowledge of the fundamentals, skill built through practice, and a mindset that helps you improvise thoughtfully with the resources and conditions at hand.
This is the capability we aim to develop through Co-Fox™ and our work with teams: the habit of looking beyond familiar boundaries and the judgment to shape what you find into something locally useful.
A question to take with you
Where else might someone already be solving a version of your problem?
Choose one example. Describe its objective, mechanism, and conditions. Then identify one local assumption you could test before committing to the idea.