Making algorithms faster isn't just about making them run quick. It's about thinking carefully. Before changing code, really get what the problem is and look at different ways to fix it. Then, like a doctor doing surgery, find the exact parts that are slow, break them into smaller pieces, and test each piece well. Think of it like taking care of your code, making sure it's both fast and easy to keep working.

- create a flow chart and schema for problem - knowing the problem and research for best solution possible and optimize it - follow flowchart for each state of problem and breakdown each part of problem

To ensure efficiency, one should aim to minimise both time and space complexity. This can be achieved through various optimisation techniques, such as eliminating unnecessary computations, using efficient data structures, and applying algorithmic paradigms like divide and conquer or dynamic programming.