📌 Requirements Engineering Summary
Requirements engineering is the process of identifying, documenting, and managing what a system or product must do to meet the needs of its users and stakeholders. It involves gathering information from everyone involved, understanding their needs, and turning those into clear, agreed-upon statements about what the system should achieve. This helps ensure that the final product does what is needed and avoids costly changes later.
🙋🏻♂️ Explain Requirements Engineering Simply
Think of requirements engineering like making a shopping list before a big party. You talk to everyone about what food and drinks they want, write down exactly what you need, and check with everyone to make sure you have not missed anything. This way, you can be sure you have all the right things when you go shopping and nothing important gets left out.
📅 How Can it be used?
Requirements engineering helps teams define what needs to be built so the final product meets user and business needs.
🗺️ Real World Examples
When developing a mobile banking app, requirements engineering involves talking to customers, bank staff, and regulators to understand what features are needed, such as secure login, money transfers, and balance checks. The team documents these requirements so everyone is clear about what the app must do before any coding begins.
In the construction of a hospital information system, requirements engineering is used to gather input from doctors, nurses, administrators, and IT staff. Their needs are converted into detailed requirements so the system supports patient records, appointment scheduling, and secure data access as expected.
✅ FAQ
What is requirements engineering and why is it important?
Requirements engineering is all about figuring out exactly what a new system or product needs to do for the people who will use it. By listening to everyone involved and writing down clear goals, it helps avoid misunderstandings and costly changes later. This means the final result is much more likely to work as needed and keep everyone happy.
Who is involved in the requirements engineering process?
Many different people take part in requirements engineering, including future users, project managers, developers, and other stakeholders. By involving a wide range of voices, it ensures that the system will actually help those who need it and that nothing important is missed.
How does requirements engineering help prevent problems during a project?
By clearly defining what is needed before building starts, requirements engineering helps everyone understand what success looks like. This reduces the risk of confusion, delays, or having to make expensive changes later because something important was overlooked at the beginning.
📚 Categories
🔗 External Reference Links
👏 Was This Helpful?
If this page helped you, please consider giving us a linkback or share on social media!
📎 https://www.efficiencyai.co.uk/knowledge_card/requirements-engineering
Ready to Transform, and Optimise?
At EfficiencyAI, we don’t just understand technology — we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Let’s talk about what’s next for your organisation.
💡Other Useful Knowledge Cards
Token Lockup Strategies
Token lockup strategies are methods used by cryptocurrency projects to restrict the transfer or sale of tokens for a set period. These strategies help manage the supply of tokens in the market, prevent sudden price drops, and encourage long-term commitment from investors or team members. Lockups are often used during token sales, for team allocations, or as part of reward systems.
Chain-of-Thought Routing Rules
Chain-of-Thought Routing Rules are guidelines or instructions that help AI systems decide which reasoning steps to follow when solving a problem. They break down complex tasks into smaller, logical steps, ensuring that each decision is made based on the information gathered so far. This approach helps AI models stay organised and consistent, especially when processing multi-step queries or tasks.
Fiat On-Ramp / Off-Ramp
A fiat on-ramp is a service or platform that allows people to exchange traditional money, like pounds or euros, for digital assets such as cryptocurrencies. A fiat off-ramp does the opposite, enabling users to convert digital assets back into traditional money. These systems are essential for making digital assets accessible to everyday users and for moving money between digital and traditional financial systems.
AI for Network Security
AI for Network Security refers to the use of artificial intelligence techniques to help protect computer networks from unauthorised access, threats, and attacks. AI systems can analyse massive amounts of network data to spot unusual patterns or suspicious activities that may signal a security risk. By automating threat detection and response, AI helps organisations respond quickly to cyberattacks and reduce the risk of data breaches.
Data Migration Strategy
A data migration strategy is a planned approach for moving data from one system, storage type, or format to another. It involves deciding what data to move, how to move it, and how to ensure its accuracy and security throughout the process. A good strategy helps avoid data loss, minimises downtime, and ensures that the new system works as intended after the move.