Metric name
textRequired input
Noderan MarketplaceData & Intelligence
Demo ReadyLive E2E verifiedLLM-backed~25s
Metrics Anomaly Explainer
Connects anomaly evidence to likely causes and checks.
Explain a metric anomaly and recommend checks.
Workflow summary
Explain a metric anomaly and recommend checks.
What is Metrics Anomaly Explainer?
Metrics Anomaly Explainer is a ready-to-run Noderan marketplace workflow for data & intelligence teams. It helps users move from a manual process to a repeatable automation with visible credit cost and app-based execution.
- Who is it for?
- Growth and analytics teams
- What problem does it solve?
- Explain a metric anomaly and recommend checks.
- How does it work?
- Explain a metric anomaly and recommend checks.
- How does pricing work?
- 2 credits per run.
- What is the next action?
- Open the app marketplace to activate this workflow, or review credit pricing.
Metrics Anomaly Explainer FAQ
Short answers for activation, pricing, inputs, and execution review.
Connects anomaly evidence to likely causes and checks.
Expected inputs
Time series CSV or JSON
textareaRequired input
Context
textareaRequired input
Demo input
Metric Name
activation_rateContext
A signup form experiment shipped on June 22.Time Series Csv Or Json
date,value 2026-06-20,0.31 2026-06-21,0.33 2026-06-22,0.22View raw JSON
{
"metricName": "activation_rate",
"context": "A signup form experiment shipped on June 22.",
"timeSeriesCsvOrJson": "date,value\n2026-06-20,0.31\n2026-06-21,0.33\n2026-06-22,0.22"
}Output highlights
- anomaly summary
- suspected causes
- recommended checks
Example result
Anomaly Summary
Activation dropped after the experiment shipped.Suspected Causes
Experiment friction
Confidence
72Recommended Checks
Segment by traffic source
View raw JSON
{
"anomalySummary": "Activation dropped after the experiment shipped.",
"suspectedCauses": [
"Experiment friction"
],
"confidence": 72,
"recommendedChecks": [
"Segment by traffic source"
]
}Use cases
- Explain metric changes before analytics reviews.
Integrations
Noderan LLM Gateway
How it works
- 1
Review the workflow and expected credit cost.
- 2
Connect the tools or inputs required for execution.
- 3
Run the workflow and inspect outputs in the app history.