Jun 15, 2022
In Welcome to the Cars Forum
It is very difficult to dig out the essence of the problem. Now almost everyone knows the stalk of "faster horse", and the essential problem of "easier to get from A to B" can be abstracted. But there is little discussion as to why this is the point of the problem and not category email list others. One of the work done when doing product planning is the dismantling of the problem, but in the process of dismantling, there may be these two problems: 1) Granularity: Why category email list is the essential problem abstracted at this granularity, can it be more focused? Or something more abstract? 2) Priority: Why is this problem abstracted? rather than other issues? Which of the abstracted problems is more preferred, and can it be quantitatively evaluated. Let’s talk about the answer first (see the source of the idea below): 1. When abstracting or dismantling essential problems, to what extent and granularity category email list should be dismantled? Comprehensiveness: Regardless of top-down or bottom-up dismantling, the dismantling points should be as comprehensive as possible and be representative enough. Revenue ROI: The process of category email list dismantling and the final problem requires the maximization of revenue and the marginal revenue reaching the threshold. Scene clarity: The bottommost point to be dismantled must have clear actions & goals & scenes. 2. When abstracting or disassembling a problem, why choose this problem, and what is the basis (priority). Relevance: The correlation between the underlying problem and the target can also be broken down into data dimensions & business dimensions Prior category email list reference: decision basis derived from historical data conclusions or comparison of competing products. In the interviews we have experienced, we will focus more on the second question, such as, "Why do you category email list want to use voting as a functional design in order to improve interaction? Instead of other designs?", "Why are these selected in the model? Eigen factors? What are the choices based on?" See above for the answering ideas, and the answering ideas of the first question can also be combined.