DQ 2 : Describe the best way to visualize the data you will collect for your DPI Project to have the most effect on your audience.

Start with the audience, because the same data needs different pictures for different readers. A unit's staff want to see whether their own numbers moved and they want it updated often, which argues for a simple run chart posted where they work. An executive sponsor wants the outcome against a target and the cost, on one slide. A journal reviewer wants the variation and the analysis method visible so they can judge the claim. A community or patient audience needs plain language, absolute numbers and no jargon. Name yours and say what claim you need them to accept, since a visualisation is an argument in graphical form and choosing one before you know the claim is how people end up with three pie charts nobody reads. Naming the audience also decides how often the figure needs updating. Write the claim down as one sentence before you open any charting tool, because the tool will otherwise choose for you.

For a DPI Project the strongest technical point is that improvement data is a time series and should be drawn as one. A before-and-after bar chart hides everything that matters: it cannot show whether the outcome was already trending, whether the change held, or whether the difference is bigger than the ordinary week-to-week variation the process always had. A run chart with a median line and enough points either side of the intervention answers all three, and a control chart adds limits that separate common-cause variation from a real shift. That is the argument to make. Then handle the honest details: label axes with units, do not truncate the y-axis to dramatise a small change, show the denominator alongside a rate, and mark the intervention date on the chart. Then say which single figure you would put in front of that audience, and what you want it to make them do about the result.