7A- Testing the Hypothesis, Part 1


Elevator programming is not optimized

Most residential and commercial building elevators do not run on an a statistically optimal programming because of the lack of updates in the elevator industry, which affects patrons of the elevator multiple times, every day.

Interview 1: Working man needs to get to work on time because he is bad with time. Must get out of his multi-story apartment fast and to his workplace quickly. Believes that the first person to hit the elevator button should be serviced first.
Interview 2: College student who goes in and out of his apartment all day. Believes that a statistically optimized program would be the best solution.
Interview 3: College student who needs to get places quickly to be on time. Believes that the amenities floor should be prioritized over other floors.
Interview 4: Adult that spends most of his time in his apartment. Believes that the lobby should be prioritized over other floors.
Interview 5: Working adult that does not live in an elevator apartment but uses one at work. Believes that a statistically optimized program is the only solution.

People do not NEED this change until they are late for a meeting or class or have an emergency. This is a very peripheral need, but absolutely a profit opportunity. The elevator market is not something that I am an expert in, but I would imagine that there are fairly tough barriers to entry. Being able to patent a line of code and its variations would make it a very valuable asset to sell to the dominant elevator and real estate companies.

What is the optimal programming? Should it be optimal or just the best?
The optimal programming would be a patent able line of code which instructs however many elevators in a lobby to work in tandem to pick up patrons in the most statistically efficient way possible. This programming seems to be exactly what I am hoping for, but is it really the best? The most satisfactory? In my interviews, these are the boundaries of my hypothesis that I will push.

After my interviews…
My interviews gave me the idea that not all buildings need the same coding. This is to be determined by the companies that I could sell the code to or the locations in which the programming is implemented. These varieties could include the ones suggested by my interviews, prioritization of amenities, lobbies, first person, optimization, or other depending on what the owner of the elevator wants to do. After that, it is out of my hands as a responsibility. This allows for better legal maneuvering and the ability to sell my programming exclusively or otherwise to customers.

Why do people need this?
They need this because it will be available. After visiting an office or apartment building with this optimized programming enough to recognize the difference, people will not be able to go back. It is like how after an item is made free, a company can never go back in the consumers’ minds. This will create a need for all buildings to carry this programming.

Summarize opportunities and discover new opportunities:
The potential opportunities for this idea have several facets. All buildings do not need the same coding. A business park building may prioritize people going up, because being late to work is more important than getting out fast. A residential apartment might prioritize people going down, because people leaving are more likely in a rush than people trying to get back to their apartment. This kind of out of the box thinking was accomplished by pushing the limits of my hypothesis.

Comments

  1. Aimee RodriguezMay 31, 2019 at 9:03 PM

    Hi Jacob, great start on your post! First off, I like your idea for an opportunity. I think if you develop the specifics of what a “statistically optimized” elevator would do that would be ideal and drive your entire point home. You do a really great job seeing a need and how it could be met with some invention. However, I think you need to really hone in on what exactly your product does and who exactly you are going to doing a test run trying to sell it to. Like Dr. Pryor says, you have to start small. If you try go from 0 to 1000 right away it is not going to work. I totally back your idea and I think that it has a huge amount of potential but before you start envisioning how you will scale the product and sell it to the masses, I think you need to think a bit more short-term and start small.

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