Storyframing And Storyforming: Two Essential Steps That Precede Data Storytelling
Most of the focus on data storytelling is centered on the crafting and telling of data stories. However, to become a better data storyteller, it's important to recognize and understand the two essential steps that precede the telling of a data story--storyframing and storyforming. This article explores the roles that these two exploratory steps can play in identifying meaningful insights before they are crafted and shared as data stories.
but insights are much more elusive
automated dashboards is constantly refreshing, potential story points become moving targets
storyframing step to quickly generate useful observations
it can highlight results that are unusual or unique
n my experience, they are interwoven and iterative
Before you start any analysis to find insights, you must first have a good grasp of your audience’s needs, interests, and key questions