{
  "schema": "vedokrok.public-item.v1",
  "release_id": "MHC-RPUB-20260920-75ad787a",
  "url": "/knowledge/build-a-morphological-box-from-the-design-dimensions",
  "id": "MHC-D-RESEARCH-0747",
  "version": "0.1.0",
  "title": "Build a morphological box from the design dimensions",
  "summary": "Make the option space visible before searching it.",
  "kind": "protocol",
  "body": "Choose a small set of dimensions that describe the solution architecture, then list plausible states for each dimension. Put dimensions as rows and states as cells. Keep dimensions as independent as practical; merge rows that are really the same choice.",
  "limits": [
    "A bad dimension set creates a bad search space. Revise the box when important options do not fit."
  ],
  "topics": [
    "union-creative-option-generation"
  ],
  "intents": [],
  "source_ids": [
    "RS-3EC3B90CEFB779AA"
  ],
  "evidence": [
    {
      "claim": "General Morphological Analysis structures a multidimensional, often non-quantifiable problem space by defining parameters and investigating combinations and relationships among parameter states.",
      "source_id": "RS-3EC3B90CEFB779AA",
      "role": "supports",
      "note": "Morphological analysis structures a conceptual space; it is not a causal model and can still omit important dimensions or options.",
      "locator": "Abstract and method description"
    },
    {
      "claim": "Morphological analysis is especially aimed at complex problem fields that are difficult to represent with a single quantitative or causal model.",
      "source_id": "RS-3EC3B90CEFB779AA",
      "role": "supports",
      "note": "Use simpler methods when the problem is already well specified and quantitative.",
      "locator": "Abstract"
    }
  ],
  "use_when": [
    "A problem has several independent design choices and brainstorming keeps returning to a few familiar combinations."
  ],
  "avoid_when": [
    "A bad dimension set creates a bad search space. Revise the box when important options do not fit."
  ],
  "example": "A training product varies feedback timing, practice format, difficulty adaptation and social mode. Listing each separately exposes combinations the team had never named.",
  "check": "A complete candidate solution can be described by selecting one state from each relevant dimension.",
  "steps": [
    "A complete candidate solution can be described by selecting one state from each relevant dimension."
  ],
  "sources": [
    {
      "id": "RS-3EC3B90CEFB779AA",
      "title": "Problem structuring using computer-aided morphological analysis",
      "url": "https://www.tandfonline.com/doi/full/10.1057/palgrave.jors.2602177"
    }
  ],
  "relations": [
    {
      "from": "MHC-D-RESEARCH-0747",
      "to": "MHC-D-RESEARCH-0748",
      "type": "use_before",
      "url": "/knowledge/force-combinations-across-dimensions-to-surface-new-options"
    }
  ],
  "collections": [
    {
      "id": "RC-2522F24FF1997E0F",
      "title": "Generate more distinct options before choosing one",
      "url": "/collections/generate-more-distinct-options-before-choosing-one"
    }
  ]
}