Context Stability
Filter Context in Plain English
Filter context determines what data a calculation sees; it must be predictable.
TL;DR
- • Filter context is the “lens” for every measure.
- • AI needs that lens to be explicit and stable.
The problem (layman)
- • Users and AI don’t see the same filter context.
- • Hidden filters change measure meaning.
Why it matters
- • Context defines the scope of every calculation.
- • Without stable context, AI answers are unreliable.
Symptoms
- • Measures behave differently in different visuals.
- • AI outputs don’t match dashboards.
Root causes
- • Complex relationships with unclear direction.
- • Implicit filters embedded in DAX.
What good looks like
- • Clear, documented filter paths.
- • Minimal hidden filters in measures.
How to fix (steps)
- • Document filter paths for critical metrics.
- • Expose applied filters in AI responses.
- • Avoid context‑dependent hidden filters.
Pitfalls
- • Assuming slicers are the only filters.
- • Ignoring automatic filters from relationships.
Checklist
- • Filter path documentation exists.
- • Hidden filters are minimized.
- • AI responses include context summaries.