Lessons in prototyping: Figuring out the best type of prototype

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When approaching prototype creation, you have options. This expert weighs in with her guidance. Photo courtesy

As you continue your journey of developing and bringing a new product to the market, you have a series of decisions to make when it comes to prototyping — whether you're going to launch a hardware or a software product, or the combination of both — you need to have a prototype made.

Before you begin, there are a number of things to consider. In an article for InnovationMap last week, I looked at major choice points and their implications that will help you navigate the process in the most efficient way.

After you successfully laid the foundation for the development process and got you CAD models ready, you arrive at the next choice. Prior to making a prototype of your invention you need to decide what type of prototype you're going to build. Whether you're making it yourself or hiring a rapid prototyping company, you need to know the purpose your prototype will fulfil because it will help to select proper methods, techniques, and materials for building. With that in mind, let's go through the types of prototypes and purposes behind building them.

Types of Prototypes

Mockup

This type is usually used as a simple representation of your product idea, to gauge physical dimensions and see its rough look. It's especially useful for making physical models of complex and large products without investing a significant amount from the start. Mockup is perfect for initial market research and various types of early testing.

Proof of concept

This type of prototype is built when you need to validate your idea and prove that it can be realized. It comes in handy when approaching potential partners and investors.

Functional prototype

This kind of prototype is also called a "looks- and works-like" model because it has both technical and visual features of the product presented. It is used for testing product's functionality, conducting consumer surveys, and fundraising campaigns.

Pre-production prototype

This is the most complex type that is made at the latest stage of product development. It's used for ergonomics, manufacturability, and material testing, as well as to minimize risks of defects during manufacturing. This is a model that manufacturers use to produce the final product.

Choosing to Partner with Prototyping Company

It's important to note that prototyping is an iterative process. It is a fusion of art and science that helps you to uncover the full potential of your product, which in turn increases its chances for market success. Therefore, you will likely go through several types of prototypes, with each kind usually requiring a few versions to achieve the parameters you set for the model.

And this process also requires help of a company that builds prototypes or of a professional product development team. You can start looking for the one after you made your first mockup or proof of concept. It is recommended because creating more complex prototypes implies the use of sophisticated equipment, sourcing of materials and components that could be too expensive or complicated to do without an established network of suppliers. Plus, skills and experience play a huge role in creating quality prototypes. Taking all three factors – equipment, experience and skills - into account, it's smart to outsource your prototyping needs to a professional company.

This article is a follow up article to my post from last week. I have also previously contributed to guest columns on the following:

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Onega Ulanova is the founder of OKGlobal.

When approaching prototype creation, you must make a series of decisions. This expert weighs in with her expertise. Photo courtesy

Lessons in prototyping: Choosing the right approach to product development

guest column

When embarking on the journey of developing and bringing a new product to the market, you as an inventor have to consider a multitude of aspects that add to the overall market success of your final product. And prototyping is one of the key product development stages that helps you achieve that.

Whether you're going to launch a hardware or a software product, or the combination of both — you need to have a prototype made. First, it allows you to validate your idea and see if it's worth investing time and money into. Second, it creates opportunities for product improvement, detection and elimination of design flaws, and cost reduction, especially during manufacturing.

Therefore, you will need to make a set of choices before you actually build a prototype to ensure that it results in a viable, cost-effective, and quality market-ready product. Let's look at major choice points and their implications that will help you navigate the process in the most efficient way.

To begin, let's look at the various options you have.

The success of any process lies in its foundation. Hence, before anything else you need to decide on the product development approach you're going to follow. Some inexperienced inventors, for instance, choose to go from product idea straight to having a prototype made. They skip three initial steps that are crucial for building a sound road map of the development process and creating a product with a maximum market potential.

In most cases, those inventors end up coming to companies that build prototypes to start from scratch. Usually, it's because they hit a dead end with their prototype or a product was manufactured with many defects. The latter is always a result of improperly optimized pre-production prototype, if optimized at all.

The extensive experience of our product development team shows that a methodological approach to the entire process, prototyping in particular, yields the most effective results. That's why we always recommend it to those inventors who choose to DIY their prototype. If you're one of them, here is a short version of the approach with steps it implies that you can use prior to prototyping. You can find the in-depth version here.

1. Product discovery

To set the path for the development of your idea you need to identify your product's strengths, weaknesses, opportunities, and threats. In other words, you need to conduct a SWOT analysis, which will help you learn about:

  • intellectual property opportunities
  • your competition and target market
  • features your product should have
  • time and cost of your idea development.

2. Concept design

Based on the results of the SWOT analysis, you can establish the road map of the development of your product and get to creating a concept or industrial design. Concept design is a virtual representation of your idea translated into 2D renderings and 3D CAD models that show you a rough look and functions your product will have. These should be built in accordance with preferences of your target audience to ensure the product's market fit. Concept design is usually made by a professional Industrial Designer. But if you have a basic knowledge of how to use industrial design software applications, then you can make it yourself.

3. Market and prior art research 

Another important step before prototyping is gathering and analyzing feedback from potential consumers. This is done through market research. With a concept design developed, you can conduct focus groups and consumer surveys to understand if the audience likes your idea. The information you get will give you more opportunities to improve your idea and add necessary changes to the design before prototyping, thus reducing the cost of the process and increasing market potential.

Prior Art Search, or research of existing patents, provides some of the benefits as market research. But its main purpose is to identify similar product ideas that have already been patented, so that you can make your product stand out by adding unique features to the design, as well as avoid a conflict of patent rights.

In a follow up article next week, we will discuss more decisions you must make during the prototype process. I have also previously contributed to guest columns on the following:

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Onega Ulanova is the founder of OKGlobal.

The journey from ideation to creation, and then manufacturing can be difficult, but rewarding. Photo courtesy of OKGlobal

These are the risks and rewards of prototyping, according to Houston expert

Guest column

We live in a digital world. Music, movies, and even family photos have become primarily digital. Computer software offers us a range of comfort and efficiency and has become part of our daily routine. So, why would anyone want to build a career around physical product development?

Simple, almost every software product or next big thing relies on a well-executed physical product development project. Apps need a place to run, games need a console to be played, and pictures need a camera to be taken.

Physical product development means dreaming of something that does not yet exist and solves an existing problem. It means taking an intangible idea and making it into a physical item that people can see, touch, and use.

The journey from ideation to creation, and then manufacturing can be difficult, but rewarding. By understanding the process, you'll find that not only is your inspiration worth pursuing, but it may be one of the most fulfilling things you will ever do.

From inspiration to perspiration

Every product development project begins with a vision, the identification of a problem and a solution for that problem. That initial spark of inspiration is what drives the entire project.

Look for a problem that hasn't been solved and solve that problem, or try the reverse. Think of a product idea, and then work backwards to find the need. Regardless, one cannot be successful without the other.

Projects require this problem, or need, because it embodies the product's target market. A product idea without a well-defined need has no reason to exist, and if it did, it would be downright perplexing.

Once you identify your need and idea, start your research.

Test the validity of your idea. How much of a market exists for your problem-solving miracle? Send out surveys, look at various markets, conduct data analyses, and generally, do everything in your power to ensure that your product should be made.

Then, start making something.

From concept to reality

The design, prototype and manufacturing stages are what bring your inspiration closer to reality. Turning it into a concrete product means letting go, and that can be scary.

Initial concept designs can be done in a variety of different ways. Detailed sketches and blueprints could be drawn up, or CAD drawings can be created. This concept design can help you explain your idea to others, including partners and investors. What works even better, though, are prototypes.

A prototype is a preliminary model of your product that can help you determine the feasibility of different aspects of your design. You can make a functional prototype, which acts as a proof-of-concept for your idea, or you may create aesthetic prototypes that will test the look and feel of your product.

Once you nail down the ideal appearance and physicality of your product, you will need to combine the two disciplines as seamlessly as possible. This performance prototype will effectively demo your final product.

Finally, you can prepare your product for production. Designing for manufacturability (DFM) means ensuring that your product can be made efficiently and cost-effectively. DFM allows you to mistake-proof your product by choosing the best manufacturing materials and methods, while keeping in mind the appropriate regulations for your desired market.

From nothing into something

The product development process often changes. Trends like crowdsourcing and innovative fast-to-market solutions constantly upend the process and make it new again. Some automakers, for example, want to innovate the design process using existing customer data — similar to how companies like Microsoft and Apple create iterative versions of their software product development projects.

Getting your product to market can be tough, but certain approaches can ease the burden. Create a simpler product. Fail fast and fail cheap with lean development, meaning limit your risk to maximize your return. Also, never underestimate the importance of customer feedback and intellectual property protection throughout the process.

With that said, invest in yourself and your inspiration, and you will avoid that nagging what if-mentality that drives regret. Great reward always requires risk, but there are also ways to invest smarter. Use available resources and give your dream the best chance for success.

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Onega Ulanova is the founder of OKGlobal.

Making a product that is worth further investing in, one that customers will want to buy, requires several prototypes, sometimes tens of prototypes to prove the concept and perfect your idea. Photo courtesy of OKGlobal

Houston expert shares why prototyping is so important to startups

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Rarely in life is anything perfect on the first attempt. Writers write drafts that are proofed and edited. Musicians practice over and over, and athletes train for years to perfect their skills before becoming pros. So, it only makes sense that a product developer would develop a prototype before manufacturing their products.

But why? Why can't a perfectly designed product go straight from CAD to production? In reality, making a product that is worth further investing in, one that customers will want to buy, requires several prototypes, sometimes tens of prototypes to prove the concept and perfect your idea. Success comes through practice, just like with the musicians and the athletes.

Defining "prototype"

The word prototype derives from the Greek word meaning, "primitive form." It's an early sample or model of a product built to test a concept or process. Understanding that a prototype, by definition, is an early form of your final product, know that there is often a compromise between your prototype and the final product design. Differences in materials, manufacturing processes and design may create a slightly different look and feel of your prototype.

A full design build is expensive, and it can be time-consuming, so before manufacturing, we create a prototype. This allows you to look for any flaws and problems, figure out solutions, then rebuild with the updates. The process may repeat multiple times. Rapid prototyping is often used for your initial prototype, allowing you to inexpensively build and test the parts of the design that are most likely to be flawed, solving issues on the front end, before you make the full product.

This necessary step is needed to progress with your product development and take you further toward the commercialization and marketing of your product.

Why prototype?

Prototyping allows you to learn about the product, the design, and the functionality. By doing repetitive prototyping, you eliminate the guesswork and base your decisions on actual data and facts. Don't ever guess. Just learn. Just prototype.

Market Testing
It allows you to put a product in front of your consumers, get their opinion, and make changes based on how the consumer uses the prototype.

Save Money
You get to save money on initial product testing, by letting consumers test the product the way they would use it in real life.

Make Improvements
Prototyping gives you the opportunity to make improvements before putting your product into the market. You can see where/if your idea is flawed and flush it out before you manufacture products that won't sell.

Sales Forecasting
This is a difficult enough task as it is, but when you have a new product, it's hard to predict how it will fare against other products in the market. By watching how consumers use the prototype, and by seeing it work against other products, you will begin to understand the sales cycle for that product, allowing you to start your forecasting.

Product designers cannot predict how a consumer will react to a new product, so they release several prototypes, and gather feedback, switching up the products until they find what works for the consumer. When the product went to manufacturing, and finally to market, it was almost guaranteed to be a success—an unintended use for prototyping, and yet one of its best uses.

Designers realize that what looks good on paper isn't always what the end-user is going to want. By getting an inexpensive prototype in front of consumers, designers have been able to get quick feedback, adjust the product, and create a winning product.

When it doubt, prototype it out

The beauty of prototyping is that each prototype interaction opens new opportunities to improve your product. In all reality, you will need more than one prototype to develop a truly valuable product. Product development can get bogged down in meetings, where the product is analyzed, and guesses are made as to "the best way," but by getting to the rapid prototype stage, you can skip some of that guesswork and replace it with real information from the customers.


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Onega Ulanova is the founder of OKGlobal.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

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