{
  "schema_version": "newruntime-agent-readable-v0.1",
  "type": "raw_signal",
  "id": "tg-2690",
  "slug": "ai-feedback-needs-behavioral-traces",
  "title": "AI product feedback needs behavioral traces",
  "description": "For nondeterministic products, edits, retries, overrides, abandonment, and sampled outputs reveal more than isolated ratings.",
  "observed_at": "2026-07-14",
  "why_it_matters": "Teams need to preserve the prompt, context, output, and next user action so feedback can become an eval case instead of an anecdote.",
  "novelty": "notable",
  "verification_level": "source-inspected",
  "signal_type": "field-report",
  "evidence_kind": "mixed",
  "status": "published",
  "telegram_message_id": 2690,
  "telegram_url": "https://t.me/qwgai/2690",
  "topics": [
    "product-feedback",
    "evals",
    "human-traces"
  ],
  "entities": [
    "Jeff Gothelf"
  ],
  "related_patterns": [],
  "source_urls": [
    "https://jeffgothelf.com/blog/how-to-collect-product-feedback-when-your-ai-gives-every-user-a-different-answer"
  ],
  "import_batch": "telegram-2026-07-17-v1",
  "routes": {
    "html": "https://newruntime.com/signals/ai-feedback-needs-behavioral-traces/",
    "markdown": "https://newruntime.com/signals/ai-feedback-needs-behavioral-traces.md",
    "json": "https://newruntime.com/signals/ai-feedback-needs-behavioral-traces.json"
  },
  "source_format": "telegram-export-normalized-json"
}