A summary is a starting point
A score can help organise a complex set of observations. It cannot carry every assumption, contradiction and important caveat by itself. The summary becomes more useful when the reader can inspect its categories and understand which observations drove the result.
Comparison needs context
A research question suitable for an established revenue-generating business may be inappropriate for a team still testing a prototype. Sector and business model matter too. Applying the same surface-level measure everywhere can reward disclosure style instead of meaningful evidence.
Avoid false interpretation
A score of 78 out of 100 does not mean a 78% chance of success. It does not promise a return or say whether an opportunity fits a particular investor. Those interpretations require different evidence and, in many cases, may not be supportable at all.
The ZORAA principle
Any future analytical score should come with source references, category drivers, completeness, confidence, a date and limitations. A useful output should leave the reader better equipped to ask questions, not pressured to accept a number.