The relations diagram analyzes complex cause-and-effect. Enter factors (one per line) and express causal links as "Cause → Effect". The system automatically computes each factor's in/out degree to identify key factors.
Causal relations (one per line, format: Cause → Effect)
The system diagram (tree diagram) decomposes an objective layer by layer into means. Enter the goal and the means at each level, using indentation to show hierarchy (2 spaces per level).
Objective-means breakdown (top level is the goal; child levels indented 2 spaces)
PDPC (Process Decision Program Chart) starts from the initial state, predicts risks that may arise during execution, and pre-builds countermeasures. One step per line, format: "Step | Risk | Countermeasure".
Process steps (per line: Step | Possible risk | Countermeasure)
The matrix diagram rates the strength of association between row items and column items. Per row: Row item,strength col1,strength col2... (strength: 3=strong, 2=medium, 1=weak, 0=none). The first row holds the column headers.
Matrix data (column headers on first row, then one row per data line)
Relations Analysis
Total factors
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Relations
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Key cause
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End result
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Factor influence ranking
Relations diagram (node size = influence)
System Diagram (objective-means breakdown)
Overall goal
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Level-1 means
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Level-2+ means
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Depth
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PDPC Process Decision Chart
Steps
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Risks found
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Countermeasures
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Risk coverage
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Matrix Analysis
Row items
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Column items
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Top row
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Top column
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● Strong (3) ◐ Medium (2) ○ Weak (1) blank = None
🤖 AI Interpretation
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About New Seven QC Tools
The New Seven QC tools: affinity diagram, relations diagram, tree diagram, matrix diagram, PDPC and more, with application guides, templates and examples.