We use a combination of quantitative and qualitative research methodologies to collect, capture, and analyze data into pattern frameworks. Incorporating an understanding of human behavior and interlaced with measurable facts. Our approach is systematic in order to establish and confirm insights, reaffirm prior results, solve new or existing problems.
Our research is distilled into a strategic frameworks that precisely defines the opportunity or frames the problem. At this stage the product requirements document is used to describe the product HIL will build for your company. It drives the efforts of the entire product team, including sales, marketing and customer support efforts. The PRD will clearly articulate the product’s purpose, features, functionality, and behavior which is used to address the opportunity or need. This PRD will fit into the why and the what of what were building and tie into the overall guiding strategy of the product roadmap.
The process of creatively thinking through, communicating, and generating ideas that eventually lead to concepts. These concepts eventually turn into tangible wearable products and services. Ideation is interwoven with complexity due to the infancy of visualizing a concept before it’s reached it’s maturity. It is increasingly becoming easier and more cost effective with digital tools and techniques.
We offer a variety of wearable prototyping strategies ranging from low-fidelity to high-fidelity methods for software and hardware for the proof of concept and minimum viable product stages. The intent of this stage is to test the concept in a variety of contexts to test the assumptions made within each use case. Typical methods are paper prototypes, form studies, appearance and functional models incorporating a range of soft textiles to flexible and hard plastics.
Usability Testing and Pilots
Evaluation performed by our moderators to observe, watch, listen, how easily representative or real users are able to complete assigned tasks using the wearable product and service. HIL designs and facilitates studies to provide insight and specific recommendations to be used in the MVP stage. Methods involve one-on-one’s, expert moderated sessions in a lab and in actual environments to elicit real-time feedback and emotional responses. The are a variety of low to high-fidelity methods that are used to walk through scenarios and usages.
Minimum Viable Product
The is a product designed with the minimum feature set. Enough that can still be released to the market as the first version. The goal in this stage is to provide enough value that early adopters and consumers will still buy and use the product. The feedback loop will be used to guide future releases. Viable and saleable are two key metrics that are used before investing further.
The part of the process that melds intuition, creativity, and scientific decision making into a calculated process. This is influenced by a variety of factors used to refine the product and technical requirements based on the analysis from the prior stages. Form, function, usability and ergonomics are refined and finalized. Materials, production, processes, business and commercialization strategies are selected.
We define user experience through research, requirements, product definition, usability and interaction. HIL’s see it as the stickiness of user’s emotions and attitudes while using the device pre during, and after. The totality of touch points and interactions of both the physical and digital.
We believe industrial design compliments business strategy by ensuring innovation throughout the creative process. We identify opportunities by understanding latent user needs, technology factors, and business requirements for success. We evaluate potential solutions through user observation, data analysis, and iterative prototyping. Which all are part of the final form, fits and function of the final product.
Product and IOT Engineering
Developing a wearable system includes both hardware and software in addition to the physicality of the product and be achieved bottoms up or top down. Typically the approach is selected based on the IP path, technology and product roadmaps. More connectivity means more dependencies in the product design and engineering processes. Ultimately leading to a much more detailed level of requirements and change management. The IOT space and is incredibly complex and capturing vital information that can be used by embedded systems, application, and product lifecycle management is crucial in multi-disciplinary agile teams, tools, and processes.