In this chapter we look at some examples of specific workflows in causal mapping, mostly illustrated with the Causal Map app. It's work in progress, we only have a couple of pages at this point.
If you want to know about how to answer specific questions with causal mapping, look here:
Individual questions — introduction
This is easy if you use AI Answers: Factor recoding. Just create a version of your links like cause_french and effect_french
Some people love just staring at a map and clicking the links to view the quotes behind them. Other people are like "No, what does it say, tell me in actual words already!"
What's the point of Links and Factors recoding? What's the difference?
Custom link columns let you store extra information on each causal claim, beyond the standard fields like sentiment and tags.
Sometimes you want to improve your factor labels (cause/effect text) without changing the original data. You might want to: