One of the types of content that I share on this blog is learnings from personal experiences. These include learnings relevant to startups as well as learnings about life in general.
However, you don’t always have the benefit of applying an existing learning from a past experience directly to a problem. Sometimes a new problem emerges for which you don’t have directly relevant previous experience. You don’t know exactly what the expected outcome maximizing approach is to the new problem.
In these cases, rather than walk without a compass, it’s useful to try to think of analogous problems you faced in the past and your learnings from these analogous problems. A problem is simply a set of weights assigned to different dimensions. Although the new problem may be uniquely different than anything you’ve seen before, several of its weights on specific dimensions are likely similar to other problems you’ve seen in the past.
Thinking about the attributes which the new problem shares with other problems you’ve seen in the past, reflecting on your learnings regarding the approaches that work if a problem has a specific attribute, and bringing together these learnings from different problems which together have all the attributes of the new problem takes you a long way towards getting to the right solution.
Also published on Medium.