Posts on this blog covered Data Explorer fixing broken shapes: data with no value column, data spread across four stage columns instead of a proper flow. Both are real problems Data Explorer solves. But most of the time, your data isn't broken. It's already sitting there as a clean Source, Target, Value table, ready to go.
Read moreMost of the datasets on this blog started as spreadsheets. This one started as a joke.
Read moreMost Sankey examples show two columns: a source, a target, done. But almost nothing in the real world only has two stops. A customer doesn't just go from "ad" to "purchase," they land somewhere, browse on some device, look at some category, and end up at some outcome. A hiring pipeline isn't "applied" to "hired," it's source, screen, interview, offer. Real journeys have stages, plural.
Read moreSankeyBuilder has two AI features that solve two different problems. Flow Intelligence looks at your diagram and tells you what's actually going on in it, the drop-offs, the concentrations, the things worth flagging. Visual Prompts takes your diagram and turns it into a set of consistent AI-generated images, one slide per flow.
Read moreMost Sankey tutorials start the same way: make sure your data has a Source, a Target, and a Value. But a lot of real datasets don't have that third column at all.
Read moreWe just added slide notes to Visual Prompts, so you always know exactly how to introduce the characters in your slides.
Read moreLearn what a Sankey diagram is, when to reach for one instead of a bar chart or funnel, and how to build one in SankeyBuilder - from raw data to a finished, presentation-ready diagram.
Read moreIf you've ever tried to turn a spreadsheet into a slide deck using AI images, you already know the problem.
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