Real Data Is Where Product Ideas Lose Their Simplicity
The first version of Monasabty looked simple until real vendors showed what the product actually had to understand.
The whiteboard was too comfortable.
Early product ideas are usually clean. A provider belongs to a category. A profile has one address. A service has a name and a price. A client sends a request. The system stores the result.
That model is comfortable because it fits on a whiteboard. Real work is less cooperative.
The first useful lessons from Monasabty did not come from a technical diagram. They came from the shape of the information that vendors actually needed to enter.
The business did not fit the first fields.
One venue owner also worked as a caterer. A simple category field assumed that one business could be described by one label. The real business did not follow that rule.
A beauty salon had more than one branch. One address field suggested one location, but the business operated in different places. Availability, services and client expectations could not be separated from the branch.
A DJ brought equipment as part of the service. The provider was not only selling time or music. The offer included practical details that mattered to the client.
The model had to become more truthful.
None of these situations were unusual exceptions. They were signals that the original model was too small.
The easy response is to add a few more fields. Sometimes that works. Often it only hides the problem.
If a provider can belong to several categories, the system needs to understand the relationship between the provider and each category. If each branch has its own services or availability, the location cannot remain a decorative field. If categories describe services differently, a single universal form becomes either too vague or too crowded.
Reality is not an edge case.
The better approach is to start with a useful loop, observe where reality pushes back and let those observations change the model.
A screen can look correct while the underlying model quietly excludes the people it is meant to serve. A form can be easy to fill in because it is asking the wrong questions. A database can be consistent and still be wrong about the world.
The job is not to force reality into the first schema. The job is to notice where the schema is asking reality to become simpler than it is.