Product Feedback Synthesis with Claude Code: Result JSON Schema

A production playbook for product feedback synthesis in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.

Audience: Product operations teams

The problem

Product operations teams need product feedback synthesis to run repeatedly against feedback exports, call notes, tickets, and themes. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.

Implementation path

Define the outer result contract once, let the product feedback synthesis skill own body.data, and reject terminal output that does not match the expected schema.

Tradeoffs and failure modes

Schema enforcement adds upfront design work, but removes prompt parsing from the product surface. For product feedback synthesis, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.

Result shape

{
  "schema_version": "argo.result.v1",
  "summary": "product feedback synthesis completed",
  "body": { "type": "product_feedback_synthesis", "data": {}, "exceptions": [] },
  "artifacts": []
}

Run this on Argo