For effective 'depth-first' data story-telling, the So-What and What-Then questions give sufficient probing opportunities to the data story builders, to gain a deep understanding of the plot (the business problem in question). Questions can span across multiple levels, a reasonable no. of steps being at least 5.
For example, in a data story concerning insurance claim projections post-COVID potential third wave, the 'What then' questions at multiple levels of analysis granularity will be:
Level 1: What have been the early indicators of community spreads that have been seen around the world in the first and second waves and what have the most successful countries done then in tackling and reversing the contagion trends?
Level 2: What measures (e.g. complete/ partial lock-down, curfew, stoppage of inter-state people movements) were taken then, in first and second waves, at different thresholds of the critical contagion severity indicators (e.g. positivity rates, mortality rates, ICU occupancy)?
Level 3: What were the peaking rates/ speed of the critical parameters during the first and second waves (e.g. total cases doubling/ crossing 1000-2000-3000 thresholds by regions and percentage of population?
Level 4: What measures were proven to be most effective in controlling the rates then?
Level 5: What impact have vaccination rates had, on the critical parameters?
Level 6: What measures will most likely benefit the different regions, based on dominant mutations of the contagion, if and when the third wave of COVID hits certain regions or the country as a whole?
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