How do you validate your technological innovation before launching it to the market?

Problem validation will save a lot of time and resources. Is the problem big enough that people are willing to pay to get rid of it? Who is solving the problem and how? What are the limitations of current solutions to the identified problem?

Pricing is an important aspect of the proposition. A price point needs to be discovered, communicated, and validated as part of the Innovation process. A hydrogen cell is an example that is technically possible, has users( auto industry) acceptance, and is better than alternatives such as fossil fuel or EVs. However, the current price makes it absolutely impossible for the production.

There are facets of technology that seem to hold peoples’ attention. This industry has a tendency to steer the purpose and interest to produce the lack of understanding of the true intent of the market. The occurrence of individuals that invest themselves in the belief that they are innovators vs the segment of dedicated contributors, which innovate and share the “value and proposition” that validates “not by interest” in creating gaps, rather the market to solving for larger, scalable means to attract audiences with holistic approaches. Once the deviant market attempts at solving these problems, the solution is, usually, hire more employees. By definition: ValProp

Experiment design is both - an art as well a science. This is a critical stage for innovation success as mass adoption. It's important to break the innovation into multiple experiment units and run each experiment with the best possible tool. Experiments should be designed in such a way that it differentiates between an assumption and a hypothesis.

A key component in the Innovation Go To Market time is the duration of running experiments. It's required to evaluate and prioritize each experiment on factors such as risk, criticalness, and potential impact. Organizations also have accelerators to run these experiments in a continuous manner for faster time to market.

From a piece of POS to a POC, the difference is the quality of the experiment itself. The collection of statistics and business intelligence to support an argument is fully built on the knowledge and experience of those that invest their lives in the experiment. Innovation, to a SME, is not just a perspective. To serve the end-user, everyone must champion and advocate to promote the direction of the industry. We are all bandits. We would all like to assume that company x vs y are equally capable of doing the same task, but the fact is, we all must maintain a sense of self and quality that holds true to our exceptions as this industry produces the workforce that is built on this instruction.