{
  "example_kind": "original synthetic manual planning case",
  "slug": "priority-weight-sensitivity",
  "title": "Inspect a ranking when weights change",
  "scenario": "Synthetic planning case: A local decision uses two declared preference dimensions: outcome fit and implementation ease. Option A has points eight and two; B has four and eight. The team is debating the weight of the first dimension.",
  "layout": "allocation",
  "dataset": {
    "heading": "Inspect the invented case records",
    "headers": [
      "Option",
      "Outcome-fit preference points",
      "Implementation-ease preference points",
      "Score at w=0.75",
      "Score at w=0.25"
    ],
    "rows": [
      [
        "A",
        "8",
        "2",
        "6.5",
        "3.5"
      ],
      [
        "B",
        "4",
        "8",
        "5",
        "7"
      ]
    ]
  },
  "derivation": "A score=8w+2(1−w)=2+6w; B=4w+8(1−w)=8−4w. They tie at w=0.6; the two displayed policies sit on opposite sides.",
  "result": "A wins at a 0.75 first-dimension weight, while B wins at 0.25. The choice depends on the declared preference policy; the score is not an objective business-value measurement.",
  "boundary": "The artifact locates a ranking reversal under two explicit weight policies.",
  "limitations": "Weighted scores require a defensible local convention. Ordinal labels are not automatically cardinal preference points.",
  "sources": [
    "original"
  ],
  "tasks": [
    [
      "Name both preference dimensions",
      "Decision owner",
      "The invented points and commensurate scoring convention are declared."
    ],
    [
      "Inspect the weight-sensitive choice",
      "Planner",
      "The 0.75 and 0.25 policies select different options."
    ],
    [
      "Agree the governing policy",
      "Receiving stakeholders",
      "The weight is accepted before presenting one winner as the team’s decision."
    ]
  ],
  "faqs": [
    [
      "Does the arithmetic tell us the correct weight?",
      "No. It exposes the consequence of a preference the decision owner must choose."
    ],
    [
      "Can these numbers prove impact?",
      "No. They are declared toy preference points, not observed customer or financial outcomes."
    ]
  ],
  "method_references": [
    {
      "id": "original",
      "title": "Original worked-case definitions",
      "scope": "Definitions, policy choices, records and calculations are authored for this worksheet. No external standard, statistical validation or live product measurement is claimed."
    }
  ]
}