To use the Master Theorem for making recursive functions better, here are some easy steps to follow:

1. Find the Recurrence: Look for the pattern that looks like this:
   ( T(n) = aT(n/b) + f(n) )
   Here’s what the letters mean:

   • ( a \geq 1 ) is how many smaller problems you have,
   • ( b > 1 ) is how much smaller each problem gets,
   • ( f(n) ) is the cost to divide the problem and then put it back together.

2. Check the Cases: Use the rules from the theorem to see how ( f(n) ) compares to ( n^{\log_b a} ):

   • If ( f(n) ) is much smaller than ( n^{\log_b a} ), use case 1.
   • If they are about the same size, use case 2.
   • If ( f(n) ) is much bigger, look at the regularity conditions for case 3.

3. Practice: Try different examples to really understand how this works.
   Every time you apply these steps, you get better at comparing and understanding the conditions.

The more you practice, the easier it will be!