The tension in this question is one we hear often, and it deserves a direct answer: using Let and Lambda does not have to come at the cost of clarity. In fact, when applied with intention, these tools are the clearest way to make complex models understandable. The worry that they add a layer of abstraction is understandable, but it usually comes from seeing them used poorly, long, nested formulas that hide their purpose behind a wall of syntax. That is not a failure of the functions themselves, but of how they are introduced.
The practical shift is about naming things well and using Let to create a visible structure. Instead of a single formula that reads like a puzzle, you can break it into steps that mirror how you would explain the logic to a colleague. The same calculation that once took one dense line can become three or four named variables, each one obvious in its role. This does not hide the inputs; it makes them more prominent. For the person who needs to audit the model later, a well-named variable is worth more than a cell reference buried in a worksheet. Lambda takes this further by letting you define a reusable operation once, then refer to it by name. That is not added complexity, it is the opposite, because it removes the need to repeat the same logic in multiple places.
The fear that this approach makes models harder to follow is really a fear of unfamiliar patterns. But consider what happens when you open a model built by someone else. A grid of inputs with formulas pointing everywhere can be just as opaque as a well-structured Let statement. The difference is that Let and Lambda give you a chance to encode meaning directly into the formula itself. You can read the logic top to bottom, understand each step, and trust that the names mean what they say. That is a level of clarity that traditional spreadsheet design rarely achieves. It is not about choosing between efficiency and transparency; it is about using the right tool to get both.
So the next time you feel hesitant to use these functions, start small. Pick one formula that you find hard to read and refactor it with Let, giving each intermediate value a clear name. Then, if you find yourself repeating that logic elsewhere, consider a Lambda. The goal is not to use every feature available, but to use them where they genuinely reduce mental load. Your future self, and anyone who inherits your work, will thank you for the extra few minutes spent on structure. That is how you keep models simple: not by avoiding powerful tools, but by using them to make the intent obvious.