Receiving a 'wrong answer' despite correct logic often indicates missed edge cases, floating-point inaccuracies, or overlooked constraints. Start by reviewing the problem constraints and adding boundary checks for minimum and maximum input sizes. Floating-point operations may yield small errors, especially if precise comparisons are made; consider using integer calculations or rounding functions to counteract this. Missed conditions or assumptions, such as handling zero values, negative numbers, or specific ordering, can also cause unexpected outputs. Systematic debugging and testing with a range of cases—especially edge cases—help in identifying the exact point of failure, ensuring your solution meets the problem requirements more accurately.