Problem-solving semantics

Problem-solving seman­tics is a struc­tured approach to tack­ling com­plex issues. It’s like cre­at­ing a blue­print for each prob­lem you face. You start by clearly defin­ing the prob­lem in var­i­ous ways — through hypothe­ses, ques­tions, claims. Then you explore poten­tial solu­tions and their lim­i­ta­tions, eval­u­ate the results, and use exam­ples and use cases to sup­port your approach.

Issue: Complex prob­lems are dif­fi­cult to keep track of. Writing helps in solv­ing com­plex problems. A single issue can have mul­ti­ple facets, and each solu­tion can come with its pros and cons. After exper­i­ment­ing with var­i­ous solu­tions, it’s cru­cial to draw con­clu­sions and com­pare the results.

Solution: Writing down the prob­lem can sig­nif­i­cantly help in find­ing the best solution. The key here is to “think on paper”, which is espe­cially useful for intri­cate issues. Tools like Logseq can be incred­i­bly help­ful here. You can use page links in Logseq as a form of problem-solving seman­tics to decom­pose the problem. This seman­tic layer helps you visu­ally dis­tin­guish the com­po­nents of the prob­lem and makes solu­tions easier to evaluate.

Here’s what it looks like: