Design for Growth

We never forget that while we must move fast in the early stages of product development, there are some aspects of application architecture and design that can never be compromised. Simply because designing for growth cannot be done retrospectively, albeit without a lot of pain. Hence future proofing the product’s architecture is implied.

At the foundation, it begins with the implementation of all reusable non-functional requirements, such as services to connect to external systems or to extend the framework using libraries of reusable UI patterns, and themes, for example. Atop the foundation layer, we implement our core business services, including services around business concepts, business rules, business entities, business transactions, and business widgets.

These services should be system agnostic and based on the foundation services to abstract any integration detail we might need. It’s in these two bottom layers that we isolate all the reusable services or components. The topmost layer is designed specifically for the user segment. This is where we support users’ interactions through user interfaces and processes using the core and foundation services to support the user journey.

It is important that no dependencies across modules are introduced on this layer, and it stays as atomic as possible within one user workflow.

 Design for User Experience

User research-led product design helps create a lasting impression with a high recall value, in turn making user adoption effortless.

At Caizin, we understand how important it is to capture user preferences and translate them into workflows. A methodic study of target users to capture their needs wants, and wishes helps maximize users’ satisfaction when working with the product.

When we couple these with technology leverages and constraints, we learn how optimally the workflows should be sketched to maximise learnability and usability.

Focusing on the nuances of human behaviour & impressions tremendously adds value in delivering a product with a heightened delight quotient, whilst maintaining technical feasibility & viability.

Implementation best practices, good principles, good code

At Caizin, we prefer to stay clean, refactor often, and avoid the accumulation of tech debt. The yield of writing good & clean code as under:

Maintainable - a well-documented code is easy to work with, usable for a long period of time, and can pass through the hands of multiple engineers with its sanity still intact. The code must expose the logic in the most obvious manner to a new person who has no prior knowledge of implementation, besides the use case.

Scalable - we start small and build on the top, and as such the code must offer itself to be scalable as more and more components get added over time, some get displaced, and some get re-constructed.

Logical - use well-known software engineering principles, design patterns, and data structures that map close to the business scenario to encapsulate the logic & implementation into standard recognizable code blocks, keeping it simple and uncomplicated. Simplicity does not equal sub-par programming.

Easy to test - clean code lends itself to be tested, to validate business use cases and rules and ensure the coverage on all corner cases are maximized. In case of failure, rely on the automated test suite to find problematic code areas instead of jumping into code debugging as a first reaction.

Caizin swears by the

Twelve-factor methodology

for building modern-day SaaS apps and holds commanding expertise in its execution.