Worked Examples

Catalyst Narrative Risk: End-to-End Sample Workflow

Complete an all-feature retrofit demonstration in Catalyst Narrative Risk.

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

Catalyst Narrative Risk · How-to Guide

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 end-to-end workflow demonstrates every documented Catalyst Narrative Risk capability through one fictional resilient-community-retrofit case. The objective is not to prove a real-world conclusion; it is to verify the complete product workflow with controlled data.

Prerequisites

  • The current product release
  • A new synthetic workspace
  • The all-feature CSV and JSON
  • No production or private information
  • Time to review every checkpoint

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

Scenario

A community center is assessing energy, comfort, financing, implementation, evidence, and monitoring needs. Use only the supplied fictional records.

  1. 1. Case Workspace: create NR-RETROFIT-001. Confirm a persistent narrative-risk case.
  2. 2. Artifact Intake: register a public retrofit announcement with URL, date, version, and custody. Confirm a source-preserved communication artifact.
  3. 3. Claim Decomposition: separate cost, emissions, comfort, and timeline claims. Confirm atomic claim records.
  4. 4. Narrative Mapping: map frames, causal stories, heroes, harms, omissions, and implied action. Confirm a structured narrative map.
  5. 5. Actor and Audience Context: record speaker, institution, intended audience, affected groups, and power context. Confirm actor and audience records.
  6. 6. Source Ledger: preserve origin, retrieval, version, and custody. Confirm a source ledger.
  7. 7. Evidence Ledger: link each claim to supporting, challenging, and contextual evidence. Confirm claim-evidence relationships.
  8. 8. Risk Dimensions: assess accuracy, omission, uncertainty, harm, manipulation, governance, and reputation. Confirm dimension-level evidence and scores.
  9. 9. Scoring Method: apply the canonical transparent scoring rubric. Confirm a method-versioned score and rationale.
  10. 10. Uncertainty: record missing evidence, ambiguity, confidence, and reviewer disagreement. Confirm an uncertainty record.
  11. 11. Counterevidence: add contractor-capacity and timeline challenges. Confirm a balanced evidence view.
  12. 12. Comparison: compare draft and final announcements or two cases. Confirm a change and risk comparison.
  13. 13. Review Workflow: request factual, harm, and governance review. Confirm a review trail.
  14. 14. Approval: require authorized approval for an official assessment. Confirm an approval record and rationale.
  15. 15. Governance Log: record method changes, overrides, conflicts, and score revisions. Confirm an auditable event log.
  16. 16. Exports and Handoffs: send an approved risk summary to Decision Studio. Confirm a portable privacy-aware artifact.

Save and review

  1. Save the final workspace under the sample workspace ID.
  2. Close and reopen it in a clean session.
  3. Compare every feature result with the sample expected_result field.
  4. Document unresolved differences and do not hide warnings.
  5. Export one complete artifact bundle.
  6. Send one supported handoff to an integration and verify its receipt.

Supported integrations

  • Decision Studio
  • Knowledge Library
  • Product Support Platform
  • Site Intelligence
  • Platform Core

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
  • A complete saved workspace
  • A portable export
  • A validated cross-product handoff receipt

Verification

  • Every CSV feature row has a corresponding saved result.
  • The JSON workspace ID and product version are preserved.
  • The export can be inspected without temporary browser state.
  • The receiving product identifies source, destination, schema, artifact, and review state.
  • A human reviewer can reproduce or audit the demonstration.

Responsible use

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

Replace synthetic data only with information you are authorized to use, after reassessing licensing, privacy, uncertainty, and review obligations.

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