It's like the flowchart that we design, before developing the program/ algorithm and writing the code. It shows how the data story will flow, cascading the narrative from scenarios to scenarios, in a visual form or in the targeted textual content structure.
For example, suppose we are building the data-story of a business case for new social-media-based marketing campaigns for a series of product launches, using trends and patterns from past successful campaigns data.
- The storyboarding starts from the targeted goal: To design a new social-media based marketing campaign for new product launches targeted towards millennial customers, with a high assurance of success.
- The success criteria of the story: Getting the resources in terms of skills and infrastructure, and funds, that are necessary for designing and delivering a new type of marketing campaign, focused on social media.
- Data storyline: Analysis of success of previous campaigns - on social media vs. traditional media, for a specific targeted set of customers
- Demonstration of the effectiveness: e.g. of social media campaigns over traditional campaigns, for the targeted customer groups
- Simulation/ prediction/ potential scenario analysis: of alternative social media campaign design alternatives, basis the demonstrated results of previous campaigns' effectiveness analysis
- Concluding story: Happily ever after!- Summarizing the previous analyses and simulations and presenting the business case for the new campaign
For more explanations on other techniques and applications, go to:
https://aiswitch.org/5-datastory-techniques