One of
the first things I explain to new student analysts is that “Read" Like an Analyst (RLA) is very different than reading a novel on a lazy Sunday afternoon.
In
technical analysis, metadata is critical – data that describes other data. We
explain to students that understanding the biases and purpose of the writers of
a product is essentially non-technical oriented metadata. Therefore, whenever
we assign student analysts articles to read as part of RLA training, we challenge them to consciously consider not just
what is written, but on who, where, when, etc., as well as consider what other
cultural norms and contexts may add value to their understanding.
The most important questions we challenge students to always ask is: "Why did the author write said piece, and what does the author want the reader to take away from it?"
There is not much more to share on RLA. Once students are told what to look for, it just takes practice and constant vigilance to not take things at face value.