{
  "schema": "vedokrok.public-item.v1",
  "release_id": "MHC-RPUB-20260920-75ad787a",
  "url": "/knowledge/reduce-batch-size-when-feedback-delay-dominates",
  "id": "MHC-D-RESEARCH-9136",
  "version": "0.1.0",
  "title": "Reduce batch size when feedback delay dominates",
  "summary": "Smaller batches can trade setup overhead for earlier information.",
  "kind": "protocol",
  "body": "Reduce batch size experimentally where the cost of late learning is high, then measure setup cost, queue time, defect detection and coordination overhead.",
  "limits": [
    "Queueing equations have specific assumptions. Use them for directional reasoning and measurement design, not as exact forecasts for arbitrary multi-stage knowledge work."
  ],
  "topics": [
    "union-systems-strategy-and-leverage-thinking"
  ],
  "intents": [],
  "source_ids": [
    "RS-0CA3EC746BA90946"
  ],
  "evidence": [
    {
      "claim": "Little's Law relates long-run average work in a stable system to arrival/throughput rate and average time in system as L = λW under stated mathematical conditions.",
      "source_id": "RS-0CA3EC746BA90946",
      "role": "supports",
      "note": "The relation does not identify root cause, queue discipline or the correct intervention; workplace applications must respect the assumptions.",
      "locator": "Abstract"
    }
  ],
  "use_when": [
    "When large batches create long intervals before errors or preference mismatches are discovered."
  ],
  "avoid_when": [
    "Queueing equations have specific assumptions. Use them for directional reasoning and measurement design, not as exact forecasts for arbitrary multi-stage knowledge work."
  ],
  "example": "Instead of migrating 5,000 records before reconciliation, process 500-record batches so mapping defects surface earlier.",
  "check": "The smaller batch improves feedback timing enough to justify its extra overhead.",
  "steps": [
    "Name the late-feedback cost.",
    "Choose a smaller reversible batch.",
    "Measure setup and coordination overhead.",
    "Compare time-to-feedback and rework."
  ],
  "sources": [
    {
      "id": "RS-0CA3EC746BA90946",
      "title": "A Proof for the Queuing Formula: L = λW",
      "url": "https://doi.org/10.1287/opre.9.3.383"
    }
  ],
  "relations": [
    {
      "from": "MHC-D-RESEARCH-9136",
      "to": "MHC-D-RESEARCH-9137",
      "type": "use_before",
      "url": "/knowledge/buffer-variability-where-it-is-cheaper-to-absorb"
    }
  ],
  "collections": [
    {
      "id": "RC-28D91C30CEA1CB4A",
      "title": "Systems and strategic leverage: feedback, flow, modularity, robust options, and information value",
      "url": "/collections/systems-and-strategic-leverage-feedback-flow-modularity-robust-options-and-information-value"
    }
  ]
}