Candidate comparison CSV
textareaRequired input
Noderan MarketplaceProductivity & Ops
Demo ReadyLive E2E verifiedDeterministic~10s
Candidate Fit Matrix
Profiles candidate rows against role criteria into a comparison matrix that supports, never replaces, the hiring decision. It prepares a human review decision with rationale and risk flags; it never makes the final call automatically.
Profiles candidate rows against role criteria into a comparison matrix that supports, never replaces, the hiring decision.
Workflow summary
Profiles candidate rows against role criteria into a comparison matrix that supports, never replaces, the hiring decision.
What is Candidate Fit Matrix?
Candidate Fit Matrix is a ready-to-run Noderan marketplace workflow for productivity & ops 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?
- Hiring managers
- What problem does it solve?
- Profiles candidate rows against role criteria into a comparison matrix that supports, never replaces, the hiring decision.
- How does it work?
- Profiles candidate rows against role criteria into a comparison matrix that supports, never replaces, the hiring decision.
- 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.
Candidate Fit Matrix FAQ
Short answers for activation, pricing, inputs, and execution review.
Profiles candidate rows against role criteria into a comparison matrix that supports, never replaces, the hiring decision. 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 Candidate A ops+sql,ready,84 Candidate B no sql,review,55 Candidate C strong refs,ready,80View raw JSON
{
"csv": "item,status,score\nCandidate A ops+sql,ready,84\nCandidate B no sql,review,55\nCandidate C strong refs,ready,80"
}Output highlights
- rowCount
- columnCount
- headers
- findings
- previewRows
Example result
Row Count
3Column Count
3Headers
itemstatusscore
Findings
Candidate rows compared against criteria for hiring-panel 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": [
"Candidate rows compared against criteria for hiring-panel review.",
"Parsed rows are ready for operator review"
],
"previewRows": [
{
"item": "Example",
"status": "review",
"score": "72"
}
]
}Use cases
- Compare candidates on evidence, decide as humans.
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.