Frustrated with your cumbersome CMS?
Too difficult to maintain content? Impossible to integrate with other systems? Slow for visitors?
We look at the three main types of content management systems (CMSs):
So you can assess which is best for your business.
At the start of the project, we establish an overarching timeline with key milestones. Regular sprint planning and review meetings ensure that we are consistently aligned with these milestones. During these meetings, we assess progress, address any challenges, and adjust our plan as needed to meet the deadlines.
We use agile methodologies in our development projects and our approach is centred around flexibility and collaboration.
We begin with a comprehensive discovery phase, where we work closely with you to understand your goals, target audience, and functional requirements. This phase sets the foundation for the project.
Following this, we break down the project into smaller, manageable iterations or 'sprints.' Each sprint focuses on a specific set of features or functionalities, allowing for rapid development.
Developing a technical strategy involves assessing current technology systems, understanding business objectives, identifying gaps or inefficiencies in current technology use, and creating a plan for technology development and integration that supports business goals.
Any organization that relies on technology for its operations can benefit, regardless of its size or industry. This includes startups, small and medium enterprises, large corporations, non-profits, and government agencies.
Security and privacy are paramount in all our work, not just that involving AI.
We adhere to industry best practices and comply with relevant regulations like GDPR to ensure data protection.
Our solutions are designed with robust security measures, including data encryption, secure data storage, and regular security audits. We also implement strict access controls and data governance policies to safeguard your information and ensure that privacy is maintained throughout the AI implementation process.
The most common mistakes we see in MVP development include:
It's essential to focus on core functionalities that reflect the product's value proposition.
Misinterpreting what the market needs, focusing too much on perfection, and launching too late can also hinder the success of an MVP.
Avoid making big assumptions without proof (ideally backed up by data) and ensure to gather and act on user feedback to iterate and improve the product continuously.
The key components of an MVP include just enough features to satisfy (ideally delight) early customers and provide feedback for future product development.
The essential features are those that solve the core problem for your target audience, which obviously vary from product to product.
The MVP should include a basic user interface, essential functionalities to test the primary hypothesis, and enough value to make the user interested in the product. 'Enough value' is a subjective measure, and will also vary from product to product.
It should also be able to collect user feedback effectively for future improvements. The focus should be on simplicity and the minimum set of features to address the primary need of your target market.
An MVP differs significantly from a prototype and a full-fledged product.
A prototype is a preliminary model to explore ideas and design concepts, not necessarily intended for release to the public. It's more about testing a concept than a market-ready product.
In contrast, an MVP is a simplified version of the product, developed with enough features to attract early adopters and validate a product idea early in the product development cycle.
A full-fledged product is a completely developed product with all intended features and functionalities, ready for the mass market.
We elaborate on the differences between and MVP and a prototype in our journal.
A Minimum Viable Product (MVP) is a development technique where a new product is introduced with basic features to satisfy (ideally delight) early adopters.
The main goal of an MVP is to quickly gather user feedback to iterate and improve the product.
It's crucial because it allows businesses to test a product hypothesis with minimal resources, reduce time to market, and avoid long and potentially unnecessary work.
An MVP helps in identifying the interest of the target audience and gathers valuable insights about customers' needs and preferences, which can guide future development.
We elaborate on this in our guide to MVPs.
We're agnostic. We use a range of modern technologies tailored to the project's needs, including:
This enables us to choose the right technology stack that aligns with the project's goals and the long-term vision.
You can read more about our technology partners here.
Creating a Minimum Viable Product (MVP) involves identifying and implementing the core functionalities that showcase the product's value, then launching to get user feedback to evolve the product.
The evolution from MVP to a full-fledged digital product is a structured process that entails iterative design, user testing, and feedback incorporation.
This iterative process ensures that the product continually improves and aligns with market demands, eventually culminating in a well-rounded digital product