Market Shift Evidence Mapper

This template turns ChatGPT or Claude into an evidence-driven market shift mapper that organizes sources into patterns, drivers, and implications. It is useful when you need to understand whether a change is temporary noise or a meaningful directional move. The prompt asks the model to separate observations from interpretations, which improves analytical discipline.

It is a strong fit for strategy teams, analysts, and category managers who monitor competitors, customers, and adjacent markets. The output can compare signals across sources, note contradictions, and identify what evidence would strengthen or weaken the case. That makes it easier to brief leadership without overstating certainty. A good evidence map helps teams make better bets under uncertainty.

Customize the template by specifying the market, time horizon, source set, and the kind of shift you care about. You can ask for demand-side, supply-side, or behavior change lenses. The model returns a layered summary with evidence, interpretation, and open questions. If you need a sharper view, add thresholds for what counts as a material shift. This keeps the prompt useful for ongoing strategy research and competitive intelligence.