Research
Decision Science
How evaluation, tradeoffs, and feedback loops improve operator decisions over time.
Advice is only useful if teams can understand it, compare it, act on it, and learn from the result. Decision science is where Curate Labs studies judgment, evidence, feedback, and repeatability.
Core Questions
- What evidence should be visible when software recommends an operating action?
- How do teams compare options when the inputs are incomplete or uncertain?
- Which outcomes should feed back into the next recommendation or workflow?
Where It Shows Up
Application
Explicit Playbooks
Design playbooks that make assumptions, evidence, and next steps explicit.
Application
Advice Evaluation
Evaluate advice quality with regression tests, outcome tracking, and review loops.
Application
Decision Review
Help operators and advisors revisit decisions as new information arrives.
Artifacts
- Decision logs and review patterns.
- Evaluation harnesses for operator workflows.
- HatTrick recommendation and follow-up loops.