DCZion Turns Team Disagreement Into Decision Evidence

Field notes

The workflow begins with a workspace owner, invitations, and a decision assembled around criteria. Participants then submit blind, anonymous confidence ranges, allowing the system to carry uncertainty into 10,000 Monte Carlo draws rather than flattening it into one average. The displayed hiring example also uses Condorcet pairwise comparisons, reporting a 91.2% win rate, a +31.7% margin, and a specific disagreement—54% agreement on “Culture & Team Multiplier”—for follow-up discussion.