Assuming the context is for solving real-world problems, not textbook problems: 1. Try to solve the smallest (but similar) problem you can think of. You'll lea

Assuming the context is for solving real-world problems, not textbook problems: 1. Try to solve the smallest (but similar) problem you can think of. You'll learn a lot along the way and might figure out if it is doable or not. As a reminder, just because a problem is solvable doesn't mean it's solvable at an acceptable level of cost/time/effort. Solving a similar, but smaller problem will help you estimate the feasibility of the larger problem. 2. If the problem is worth solving, it's probably affecting people who in turn have tried to solve it before and are using either approximations or imperfect solutions. Talk to them, understand what they've tried, what works and what doesn't. If the problem affects enough people It's very likely that a solution exists already, it just hasn't been generalised, productised, or automated yet.