A prototype is a low-cost, experimental model of an idea. Product prototypes help bring ideas to life, test design concepts, and pitch your business’ vision to key stakeholders. It allows your business and users to have an interactive experience without fully developing a product. This preventive workflow averts costly mistakes while highlighting the best design and technological direction for your product.
Spiria’s team of experts is committed to build the solution that creates the most value for your users and the best ROI for your business. Our designers use prototypes to effectively explore and present design ideas, evaluate new investment opportunities and test concepts before launching them. Whether you’re launching a new product or updating existing features, our experienced designers create something your users will actually want and use. With product prototyping we can focus on tested features your users expect, validated user flows, and clean visuals that facilitate user navigation.
First, our designers turn to paper prototypes using sketches to outline steps in user flows, explore various layouts, and show basic application structure (wireframes).
Then we move onto digital prototyping, using InVision, where we build real-time experiences without any coding. This prototyping lets users have a personal experience with the design—perfect for explaining design details to developers or running user tests to validate design.
During the final stage of prototyping, called native prototyping, our experts bring your ideas to life by quickly coding a working prototype in native language using development kits. With native prototyping, we can test using real devices and ask actual users for specific feedback on actionable items using a low-commitment solution.
With a strong prototype in hand, your business can confidently pitch your vision to stakeholders and rest assured the resulting product will engage users and meet your business goals.
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.
