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The Distance Between Possible and Usable

Some technologies are easiest to admire before anyone tries to use them.

In a demonstration, conditions are kind. The inputs are known, the operator understands the system, and someone who helped build it is usually standing nearby. A prototype can look almost inevitable there.

Outside the demonstration, conditions stop cooperating. Users improvise. Materials vary. Sensors drift. Budgets exist. The technology has to enter a system that was not designed for it.

This is where technically interesting and actually usable begin to separate.

Across very different engineering projects, I have learned that feasibility is not a single question. “Can we build it?” is only the first. Then come the questions that are much less exciting to put on a presentation slide.

Can it work repeatedly? Can someone use it without its creator in the room? Can it be manufactured, maintained, and repaired? Does it fit into the way people already work? Is the improvement large enough to justify asking them to change?

Each question pulls the design in a slightly different direction.

A diagnostic device can collect enough DNA to prove that its underlying method works and still be uncomfortable or confusing for the person using it. An environmental control system can reach its target conditions and still be impractical if it requires constant adjustment. A predictive model can produce excellent results and still be ignored if the people responsible for acting on them do not understand when to trust it.

None of these problems make the technology less impressive. They reveal what must happen next.

I began seeing the same pattern while evaluating early-stage companies. Technical presentations often focus on the mechanism: what the technology does, why it is novel, and how it compares with what came before. Those questions matter, but they do not explain whether the technology will move beyond the presentation.

The harder task is tracing the chain of assumptions between the invention and its eventual use.

Who experiences the problem most directly? What are they doing now instead? Who decides to adopt a new solution, and who actually uses it? What evidence will they need? What happens to cost and performance when production grows? A technology can be scientifically valid while the path surrounding it remains uncertain.

Commercialization is sometimes treated as the stage that begins after the engineering is finished. I think it begins much earlier.

The intended user changes the design. Manufacturing changes the design. Regulation, maintenance, distribution, and cost all change the design. Even the definition of success changes once a technology leaves the environment in which it was created.

This does not mean designing only for what is easy. It means understanding the constraints well enough to know which ones should be challenged and which ones cannot simply be ignored.

Often, the most valuable feedback is also the least glamorous. A component is too difficult to replace. A workflow has one step too many. A result arrives ten minutes later than it is useful. A customer likes the technology but has no reason to switch from the imperfect system already in place.

These details can feel small beside the invention itself, but they often decide whether the invention goes anywhere.

I used to think a successful prototype answered a question. Now I see it more as the point where better questions begin. What breaks? Who hesitates? What is too expensive, fragile, slow, or complicated? Which parts are essential, and which exist only because the builder became attached to them?

An emerging technology becomes usable when its creators are willing to let those answers reshape it.

The idea does not have to become less ambitious. It has to become accountable to the world it hopes to enter.

I can let you know when the next one is up!

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