Powerbi AI Causal Hypothesis Tester

Use when Power BI users suspect a business driver and need AI-assisted causal plausibility checks instead of simple correlation claims.

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Power BI AI Causal Hypothesis Tester

Test whether a proposed driver is plausible, not merely correlated.

Output Contract

  • Hypothesis, expected mechanism, affected KPI, segment, timeframe, and counterfactual.
  • Evidence, counterevidence, confounders, lag effects, data gaps, and confidence.
  • Recommended analysis: cohort, before/after, matched segment, decomposition, or experiment design.
  • Conclusion: supported, weak, contradicted, or not testable.

Checks

  • Never claim causality from correlation alone.
  • State what evidence would change the conclusion.

rweisssieker-xp/powerbi-codex-plugin/tree/main/plugins/powerbi-business-intelligence/skills/powerbi-ai-causal-hypothesis-tester commit 5c7dc94d78

Frequently asked questions

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