CSAT responses CSV
textareaRequired input
Noderan MarketplaceData & Intelligence
Demo ReadyLive E2E verifiedDeterministic~10s
CSAT Root Cause Analyzer
Profiles low-CSAT response rows and clusters the recurring root causes behind poor scores. Returns structured, review-ready output without triggering any external action.
Profiles low-CSAT response rows and clusters the recurring root causes behind poor scores.
Workflow summary
Profiles low-CSAT response rows and clusters the recurring root causes behind poor scores.
What is CSAT Root Cause Analyzer?
CSAT Root Cause Analyzer 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?
- Support quality teams
- What problem does it solve?
- Profiles low-CSAT response rows and clusters the recurring root causes behind poor scores.
- How does it work?
- Profiles low-CSAT response rows and clusters the recurring root causes behind poor scores.
- How does pricing work?
- 1 credit per run.
- What is the next action?
- Open the app marketplace to activate this workflow, or review credit pricing.
CSAT Root Cause Analyzer FAQ
Short answers for activation, pricing, inputs, and execution review.
Profiles low-CSAT response rows and clusters the recurring root causes behind poor scores. Returns structured, review-ready output without triggering any external action.
Expected inputs
Demo input
Feedback Csv
item,status,score Slow first reply,review,44 Wrong answer billing,review,38 Great resolution,ready,95View raw JSON
{
"feedbackCsv": "item,status,score\nSlow first reply,review,44\nWrong answer billing,review,38\nGreat resolution,ready,95"
}Output highlights
- rowCount
- columnCount
- headers
- findings
- previewRows
Example result
Row Count
3Column Count
3Headers
itemstatusscore
Findings
CSAT rows clustered by recurring root cause for review.Parsed rows are ready for operator review
Preview Rows
1 structured item
View raw JSON
{
"rowCount": 3,
"columnCount": 3,
"headers": [
"item",
"status",
"score"
],
"findings": [
"CSAT rows clustered by recurring root cause for review.",
"Parsed rows are ready for operator review"
],
"previewRows": [
{
"item": "Example",
"status": "review",
"score": "72"
}
]
}Use cases
- Find what actually drags CSAT down.
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.