Diagnostic map

Explore project context patterns (PCA biplot) + factor impacts β€” for messy, real-world delivery.

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How to use

  • Dots = projects. Close dots have similar context.
  • Color = success score (relative in this sample run).
  • Arrows = factors. Arrow direction shows where that factor increases.
  • Hover a dot to see its factor values and success score.

  • Boost = factor pushes success up on average.
  • Penalty = factor pushes success down on average.
  • Some factors show both (too little vs too much).

Drag to zoom β€’ double-click to reset β€’ use 60–300 projects for smoother patterns.

Scenario controls
Low: mostly stable scope β€’ High: frequent priority/scope shifts
Low: stakeholders aligned β€’ High: competing agendas & escalations
Low: stakeholders aligned β€’ High: competing agendas & escalations
Low: flexible timeline β€’ High: fixed date, little/no slack
Low: clean/modern stack β€’ High: legacy & fragile code paths
Low: mostly independent β€’ High: many external dependencies/bottlenecks
Low: noisy/missing data β€’ High: reliable, decision-ready data
Low: churn/resourcing changes β€’ High: stable team & cadence
Low: unclear decisions/approvals β€’ High: clear process & authority
Low: fewer projects (noisier) β€’ High: more projects (smoother patterns)

Impact chart: average contribution to success (Boost vs Penalty). Some factors show both β€” because β€œtoo little” and β€œtoo much” can both be harmful.