What should every Datacash learning resource include?

For Datacash learning resources, I expect a clear question, defined terms, relevant examples, sources, and an explanation of the limits. Readers should be able to understand how a conclusion was reached and what remains uncertain. I'd welcome feedback on which parts need better explanation or make a resource worth revisiting.

Worked examples make the biggest difference for me. I would rather see one example explained carefully than a long list of tips.

A short recap of the terms would help when I return to a guide after a few weeks.

I'd appreciate sources beside the relevant claims so I can follow up without guessing which reference supports what.

A small exercise using fictional information would help me check whether I understood the explanation.