Start your custom software project off right with clear, aligned goals and strategies
The Foundation of Successful Development Is Software Discovery
Define precisely the user of your service to create the best in class user experience. Think, execute and print the same session.
Research, Plan & Legwork
When you’re kicking off a new and exciting software project for your business, it can be tempting to dive right in. But without proper advance research, planning, and legwork, it’s impossible to know whether your team and the development team are aligned, and you’re likely to run into unpleasant (and expensive) surprises and change orders along the way. That’s where discovery and prototyping come in.
Even once your team and ours have worked together to outline the key goals and features of the new software system, it can be difficult for your team to visualize the system come to life — that’s not because you haven’t successfully defined what you need, but because your expertise is your business, not its software.
So, to mitigate the risk of revealing a finished product only to have you discover it isn’t what you wanted, we use prototyping as a gentle step from the realm of abstract requirements into a more concrete picture of how your software will look, feel, and work. The process is like dipping a toe in the water before diving in.
A good software requirements document doesn’t describe the user experience. It’s goal is to address the “whats” and not the “hows.” So to show you how we envision the user interface to look and feel, we create a static visualization. This mockup isn’t as polished or detailed as the final product will be, and it’s very easy to modify as needed, but it captures the essence of how the system will do what it does.
The POC has the same goal as the UI prototype, but in practice, it’s very different. Rather than a set of static drawings, a POC is a very minimal version of the software application, allowing you and your team to test out the core technology and key features. This is particularly useful for projects that require bleeding-edge technologies such as AI or augmented reality, or for ideas for which the technology might not yet exist. In these cases, it’s much better to run a feasibility analysis to test the capabilities rather than jump in headfirst with time and resources only to find that a piece of the vision is unrealistic.
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