Team signals CSV
textareaRequired input
Noderan MarketplaceData & Intelligence
Demo ReadyLive E2E verifiedDeterministic~10s
Attrition Signal Monitor
Profiles anonymized engagement and tenure rows for attrition-risk patterns to inform, not trigger, manager conversations. It prepares a human review decision with rationale and risk flags; it never makes the final call automatically.
Profiles anonymized engagement and tenure rows for attrition-risk patterns to inform, not trigger, manager conversations.
Before you run
Workflow summary
Profiles anonymized engagement and tenure rows for attrition-risk patterns to inform, not trigger, manager conversations.
What is Attrition Signal Monitor?
Attrition Signal Monitor 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?
- People analytics and HR partners
- What problem does it solve?
- Profiles anonymized engagement and tenure rows for attrition-risk patterns to inform, not trigger, manager conversations.
- How does it work?
- Profiles anonymized engagement and tenure rows for attrition-risk patterns to inform, not trigger, manager conversations.
- 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.
Attrition Signal Monitor FAQ
Short answers for activation, pricing, inputs, and execution review.
Profiles anonymized engagement and tenure rows for attrition-risk patterns to inform, not trigger, manager conversations. It prepares a human review decision with rationale and risk flags; it never makes the final call automatically.
Expected inputs
Demo input
Csv
item,status,score Team A tenure cliff,review,42 Team B stable,ready,85 Team C survey drop,review,48View raw JSON
{
"csv": "item,status,score\nTeam A tenure cliff,review,42\nTeam B stable,ready,85\nTeam C survey drop,review,48"
}Output highlights
- rowCount
- columnCount
- headers
- findings
- previewRows
Example result
Row Count
3Column Count
3Headers
itemstatusscore
Findings
Signal rows show attrition-risk patterns for HR-partner 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": [
"Signal rows show attrition-risk patterns for HR-partner review.",
"Parsed rows are ready for operator review"
],
"previewRows": [
{
"item": "Example",
"status": "review",
"score": "72"
}
]
}Use cases
- Notice attrition patterns while there's time to act.
Step 1
Review the workflow and expected credit cost.
Step 2
Connect the tools or inputs required for execution.
Step 3
Run the workflow and inspect outputs in the app history.