Revenue dropped 23%. Here's exactly why.
When a metric changes, askotter checks every source and gives you a ranked list of causes with confidence scores.
When something breaks, you get the "why" automatically.
When an anomaly appears, askotter checks your entire data lake. It finds related changes, tests them against historical patterns, and returns ranked causes. Example: "Revenue dropped 23%. Checkout broke after a CSS deploy at 11pm. Confidence: 94%."
Train your best investigator. Scale that knowledge to everyone.
"Why?" is the most expensive question in business. It usually takes a full day of digging. askotter answers it in minutes and shows its work. Save investigation reports as shared notes to build a knowledge base.
Diagnosing a revenue drop in 4 minutes
How automated root cause analysis replaced a day of manual investigation.
What Takes All Day to Diagnose
KPIs monitored by this solution
Learn what each metric means, where it lives, and what causal analysis reveals about why it changes. Browse the full KPI Glossary →
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Revenue dropped 23%. Get the answer in minutes, not days.
Setup takes under an hour. No engineering required.
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