Luna Vasquez-Kim

Crystal Ball Data Analyst

Turning crystal ball visions into actionable dashboards. The future has KPIs.

Crystal balls generate data. Unstructured, poorly formatted, frequently metaphorical data — but data nonetheless. And like all data, it needs to be cleaned, organized, and turned into dashboards that executives can understand. At Foresight Analytics, I take raw crystal ball output — visions, omens, vague feelings of dread — and convert them into structured datasets. My proprietary methodology, the Vasquez-Kim Divinatory Data Pipeline, processes approximately 500 visions per month through four stages: Capture (recording the vision), Classification (is this a prediction, a warning, or a metaphor?), Confidence Scoring (how reliable is this crystal ball?), and Visualization (turning it into a chart that someone in a suit will actually look at). The biggest challenge is data quality. Crystal balls have an accuracy rate of approximately 34%, which is better than random chance but worse than most weather apps. Some crystal balls are biased — they consistently predict doom, which skews the dataset toward negative outcomes. I correct for this with what I call the 'Doom Discount,' a statistical adjustment that accounts for inherently pessimistic oracles. I've built 80 predictive dashboards from crystal ball data. Client satisfaction is high. Prediction accuracy is moderate. But the dashboards look incredible, and in my experience, that's what matters.