Tools and Features

Catalyst Narrative Risk: Feature-by-Feature Guide

Use every documented Catalyst Narrative Risk feature with sample input and expected output.

ProductCatalyst Narrative RiskVerified version1.5.0ComponentActor and Audience Context, Approval, Artifact Intake, Case Workspace, Claim Decomposition, Comparison, Counterevidence, Evidence Ledger, Exports and Handoffs, Governance Log, Narrative Mapping, Review Workflow, Risk Dimensions, Scoring Method, Source Ledger, UncertaintyUpdatedJuly 17, 2026Reading time18 minutes
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Catalyst Narrative Risk · Technical Reference

Claims, sources, evidence, narrative mapping, risk dimensions, scoring, uncertainty, cases, comparison, review, approval, governance, and handoffs.

Audience: product users, administrators, reviewers, and integrators.

Last verified version: 1.5.0

Reading time: 18–30 minutes

Status: Published support documentation.

Purpose

This is the complete documented feature inventory for Catalyst Narrative Risk version 1.5.0. Every feature includes sample data, a seven-step use pattern, expected output, and a verification rule. Reverify this article whenever the product release changes.

Prerequisites

  • A clean demonstration workspace
  • The downloadable all-feature CSV or JSON
  • Current product release notes
  • Permission to use each tested feature
  • A reviewer familiar with the product

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.

Feature-by-feature procedure

1. Case Workspace

Purpose: Use Case Workspace within the governed Catalyst Narrative Risk workflow.

Sample action: create NR-RETROFIT-001.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a persistent narrative-risk case.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

2. Artifact Intake

Purpose: Use Artifact Intake within the governed Catalyst Narrative Risk workflow.

Sample action: register a public retrofit announcement with URL, date, version, and custody.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a source-preserved communication artifact.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

3. Claim Decomposition

Purpose: Use Claim Decomposition within the governed Catalyst Narrative Risk workflow.

Sample action: separate cost, emissions, comfort, and timeline claims.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: atomic claim records.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

4. Narrative Mapping

Purpose: Use Narrative Mapping within the governed Catalyst Narrative Risk workflow.

Sample action: map frames, causal stories, heroes, harms, omissions, and implied action.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a structured narrative map.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

5. Actor and Audience Context

Purpose: Use Actor and Audience Context within the governed Catalyst Narrative Risk workflow.

Sample action: record speaker, institution, intended audience, affected groups, and power context.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: actor and audience records.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

6. Source Ledger

Purpose: Use Source Ledger within the governed Catalyst Narrative Risk workflow.

Sample action: preserve origin, retrieval, version, and custody.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a source ledger.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

7. Evidence Ledger

Purpose: Use Evidence Ledger within the governed Catalyst Narrative Risk workflow.

Sample action: link each claim to supporting, challenging, and contextual evidence.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: claim-evidence relationships.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

8. Risk Dimensions

Purpose: Use Risk Dimensions within the governed Catalyst Narrative Risk workflow.

Sample action: assess accuracy, omission, uncertainty, harm, manipulation, governance, and reputation.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: dimension-level evidence and scores.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

9. Scoring Method

Purpose: Use Scoring Method within the governed Catalyst Narrative Risk workflow.

Sample action: apply the canonical transparent scoring rubric.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a method-versioned score and rationale.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

10. Uncertainty

Purpose: Use Uncertainty within the governed Catalyst Narrative Risk workflow.

Sample action: record missing evidence, ambiguity, confidence, and reviewer disagreement.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: an uncertainty record.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

11. Counterevidence

Purpose: Use Counterevidence within the governed Catalyst Narrative Risk workflow.

Sample action: add contractor-capacity and timeline challenges.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a balanced evidence view.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

12. Comparison

Purpose: Use Comparison within the governed Catalyst Narrative Risk workflow.

Sample action: compare draft and final announcements or two cases.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a change and risk comparison.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

13. Review Workflow

Purpose: Use Review Workflow within the governed Catalyst Narrative Risk workflow.

Sample action: request factual, harm, and governance review.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a review trail.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

14. Approval

Purpose: Use Approval within the governed Catalyst Narrative Risk workflow.

Sample action: require authorized approval for an official assessment.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: an approval record and rationale.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

15. Governance Log

Purpose: Use Governance Log within the governed Catalyst Narrative Risk workflow.

Sample action: record method changes, overrides, conflicts, and score revisions.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: an auditable event log.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

16. Exports and Handoffs

Purpose: Use Exports and Handoffs within the governed Catalyst Narrative Risk workflow.

Sample action: send an approved risk summary to Decision Studio.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a portable privacy-aware artifact.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

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
  • claim-evidence relationships
  • dimension-level evidence and scores
  • a method-versioned score and rationale
  • an uncertainty record
  • a balanced evidence view
  • a change and risk comparison
  • a review trail
  • an approval record and rationale
  • an auditable event log
  • a portable privacy-aware artifact

Whole-product verification

  • All 16 documented features are present or intentionally permission-restricted.
  • Every feature accepts its synthetic row or explains why it does not apply.
  • Errors preserve saved state and provide a recovery path.
  • Exports and handoffs retain provenance and version identity.
  • No private, confidential, or secret information appears in public output.

Responsible use

Avoid automated accusation, profiling, or definitive judgments; preserve context, counterevidence, uncertainty, and human review.

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