Product research helps you test concepts, refine ideas, and develop successful digital products your target audience will actually want to use.
It’s important to understand what your customers want, and the competitive environment of your current market. These two things can make the difference between success and failure, not only at product launch but throughout the entire product lifecycle. Good product research can help reveal unmet needs, identify desired features, and determine how well these will be received.
Spiria can take charge of an entire project, and employ diligent product research to help you draw the outline of a successful product. As part of a complete range of services, you will benefit from our team's vast experience in research, analysis, marketing, design, and technology, as well as our ability to determine and apply quantitative and qualitative methods adapted to the project.
Proof of Concept testing uses a variety of these methods, like user data and experience audits, user needs research, gap analysis, heuristic analysis, competitive analysis, UX testing and prototyping, hypothesis testing, requirements gathering, roadmap development, and more.
As part of the process, we study your market: its dimensions, the competition, and client segmentation, as well as brand images, usages and attitudes, and so on. Finally, your client base is scrutinized. We identify current and future customers, pinpoint those with the most value, create standard profiles, gather emotional motivators, and highlight any other factors relevant to your project.
Whether it is a question of designing and developing a new product or improving an existing one, Spiria helps you figure out what works, what doesn't, and why, as well as what can be done about it, minimizing risks up front so you can make smart decisions and be more efficient down the road.
When creators think up a new product, they often include a thousand and one features to make it engaging and totally unique. Unfortunately, the resulting beast is often huge and unwieldy.
Today’s high core-count processors require parallel algorithms for programs to run fast. To achieve this, asynchronization and future values are not a reliable solution.
One of the challenges of writing multithreaded code is that it is often necessary to share data that was not designed to be used by multiple threads at the same time. In this blog post, I want to show two approaches to protect such data: duplication and wrap.
