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Catalyst Narrative Risk: Getting Started
Start using Catalyst Narrative Risk with a controlled example.
Catalyst Narrative Risk · Getting Started
Claims, sources, evidence, narrative mapping, risk dimensions, scoring, uncertainty, cases, comparison, review, approval, governance, and handoffs.
Purpose
This guide provides a safe first run of Catalyst Narrative Risk. It explains the product role, the main feature surface, the synthetic demonstration dataset, how to recognize a valid result, and when human or expert review is required.
Capability overview
- Case Workspace
- Artifact Intake
- Claim Decomposition
- Narrative Mapping
- Actor and Audience Context
- Source Ledger
- Evidence Ledger
- Risk Dimensions
- Scoring Method
- Uncertainty
- Counterevidence
- Comparison
- Review Workflow
- Approval
- Governance Log
- Exports and Handoffs
Prerequisites
- A modern supported browser or runtime
- The current installed product and service version
- A new demonstration workspace
- No confidential, personal, credential, or production information
- A named reviewer for consequential output
Sample data
This article uses a fictional Resilient Community Retrofit Program. The files contain one demonstration row for every documented feature, so each capability can be tested without private or production data.
Download CSV feature examples · Download JSON workspace example
Preview
| # | Feature | Sample action | Expected result | Classification |
|---|---|---|---|---|
| 1 | Case Workspace | create NR-RETROFIT-001 | a persistent narrative-risk case | synthetic-demo |
| 2 | Artifact Intake | register a public retrofit announcement with URL, date, version, and custody | a source-preserved communication artifact | synthetic-demo |
| 3 | Claim Decomposition | separate cost, emissions, comfort, and timeline claims | atomic claim records | synthetic-demo |
| 4 | Narrative Mapping | map frames, causal stories, heroes, harms, omissions, and implied action | a structured narrative map | synthetic-demo |
| 5 | Actor and Audience Context | record speaker, institution, intended audience, affected groups, and power context | actor and audience records | synthetic-demo |
The downloadable files include all 16 feature rows.
Procedure
- Open the product from its canonical Sustainable Catalyst page or administrative route.
- Confirm the product and backend version before creating data.
- Create a synthetic workspace named NARRATIVE-RISK-RETROFIT-001.
- Download the CSV and JSON examples supplied below.
- Use the feature matrix to complete the first six feature checkpoints.
- Save, close, and reopen the workspace to verify persistence.
- Inspect warnings, sources, units, permissions, and lifecycle state.
- Export or hand off only after completing the verification checklist.
1. Case Workspace
Action: create NR-RETROFIT-001.
Expected result: a persistent narrative-risk case.
2. Artifact Intake
Action: register a public retrofit announcement with URL, date, version, and custody.
Expected result: a source-preserved communication artifact.
3. Claim Decomposition
Action: separate cost, emissions, comfort, and timeline claims.
Expected result: atomic claim records.
4. Narrative Mapping
Action: map frames, causal stories, heroes, harms, omissions, and implied action.
Expected result: a structured narrative map.
5. Actor and Audience Context
Action: record speaker, institution, intended audience, affected groups, and power context.
Expected result: actor and audience records.
6. Source Ledger
Action: preserve origin, retrieval, version, and custody.
Expected result: a source ledger.
Expected output
- a persistent narrative-risk case
- a source-preserved communication artifact
- atomic claim records
- a structured narrative map
- actor and audience records
- a source ledger
- A saved record that reopens without data loss
- An export or handoff that identifies product, version, artifact, source, and review state
Verification
- Every sample value remains attached to its identifier and classification.
- Warnings remain visible and are not silently treated as approval.
- The saved workspace reopens in a clean session.
- The product and version shown in output match the installed release.
- Another reviewer can understand how the output was produced.
Responsible use
Avoid automated accusation, profiling, or definitive judgments; preserve context, counterevidence, uncertainty, and human review.
