Most people drastically underestimate the cost of bringing software products to fruition, and we can’t blame them for this perception in a world where there are so many “free” tools. So how do you evaluate the value of custom software in relation to its build cost?
Solutions architecture shouldn’t be just about building technology to address your pain points. To construct lasting solutions, you should always first frame your problem to ensure the one you are embarking to solve is the right problem rather than the obvious one(s).
A top-down breakdown of system functions starting with the high-level user goals, broken down to the functional means to achieve them.
Defnition of all major feature groups needed for MVP launch. An agreed-upon list of core features.
Black & White, static, sketch framework that outlines the structure & flow of information as well as the overarching user experience as they interact with the system.
A visual representation of the various technical components of an application and how they interact at a high level.
Perform any research into the viability of features based on external or project/client, dictated constraints. Questions like: Is this possible, generally? Is this possible for my timeline and my budget?
Representation of how the data in your application’s database will be structured and related to one another. A well-planned data model is important to make future expansion of the system and features easier.
What problem are you solving and for whom? Why would someone pay for your product, download it, use it, or be loyal to it?
A product with enough features to attract early-adopter customers and validate a product idea early in the product development cycle. In other words: the minimum feature set to deliver on your value proposition.