Strong inference consists of applying the following steps to every problem in science, formally and explicitly and regularly:
- Devising alternative hypotheses
- Devising a crucial experiment (or several of them), with alternative possible outcomes, each of which will, as nearly as possible, exclude one or more of the hypotheses
- Carrying out the experiment so as to get a clean result
Rinse and repeat to form a "conditional inductive tree" or decision tree. Write the tree out.
Or, as the philospher Karl Popper says today, there is no such thing as proof in science -- because some later alternative explanation may be as good or better -- so that science advances only by disproofs. There is no point in making hypotheses that are not falsifiable, because such hypotheses do not say anything: "it must be possible for an empirical scientific system to be refuted by experience".
Form multiple working hypotheses, so as not to get too emotionally attached to any particular one.