Active conversations CSV
textareaRequired input
Noderan MarketplaceCustomer Support
Demo ReadyLive E2E verifiedDeterministic~10s
Escalation Risk Scorer
Profiles active conversations for sentiment and friction markers and ranks escalation risk. Returns structured, review-ready output without triggering any external action.
Profiles active conversations for sentiment and friction markers and ranks escalation risk.
Workflow summary
Profiles active conversations for sentiment and friction markers and ranks escalation risk.
What is Escalation Risk Scorer?
Escalation Risk Scorer is a ready-to-run Noderan marketplace workflow for customer support 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 and CS leads
- What problem does it solve?
- Profiles active conversations for sentiment and friction markers and ranks escalation risk.
- How does it work?
- Profiles active conversations for sentiment and friction markers and ranks escalation risk.
- 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.
Escalation Risk Scorer FAQ
Short answers for activation, pricing, inputs, and execution review.
Profiles active conversations for sentiment and friction markers and ranks escalation risk. Returns structured, review-ready output without triggering any external action.
Expected inputs
Demo input
Csv
item,status,score Acme third reopen,review,30 Beta calm thread,ready,85 Core exec cc'd,review,42View raw JSON
{
"csv": "item,status,score\nAcme third reopen,review,30\nBeta calm thread,ready,85\nCore exec cc'd,review,42"
}Output highlights
- rowCount
- columnCount
- headers
- findings
- previewRows
Example result
Row Count
3Column Count
3Headers
itemstatusscore
Findings
Conversation rows ranked by escalation risk 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": [
"Conversation rows ranked by escalation risk for review.",
"Parsed rows are ready for operator review"
],
"previewRows": [
{
"item": "Example",
"status": "review",
"score": "72"
}
]
}Use cases
- Rank which conversations will blow up next.
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.