Documentation Index
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What KPI Attribution is
KPI Attribution is the transparent view into why a Top Story moved. For any autonomous story, it surfaces three layers of evidence: the Contributors (dimension values that drove the change), the Opposers (segments that held up), and the Side Effects (related KPIs — often connected across sources by Nirvana — that moved alongside the primary metric). Every number comes from the same deterministic attribution engine that generates the stories, so the Why is auditable, not a guess.Typical workflows
- Business users
- Data analysts
- Scan Top Stories to identify the top change worth attention.
- Open one story and review the key slices to understand where the movement is concentrated.
- Use Wisdom to validate the pattern or check one breakdown quickly.
- If this is a KPI you track regularly, consider setting an alert for it.
The three components of attribution
Contributors
Dimension values that moved in the same direction as the KPI and are statistically responsible for the largest share of the change. Ranked by impact.
Opposers
Dimension values that moved in the opposite direction — partially canceling out the impact of contributors. Important for understanding the net effect.
Side Effects
Related KPIs that moved alongside the primary metric — often spanning multiple data sources via Nirvana. Signals whether the change is isolated or part of a broader cross-system pattern.
Tips for better results
Keep comparisons consistent. If you switch time windows or granularity, the shape and magnitude of movement can change.
What to do next
Trend Analysis
See contributor behavior over time using the timeseries view.
Wisdom
Validate a story with a quick question, breakdown, or period comparison.
Alerts Configuration
Stay informed about important changes on a schedule that fits your workflow.