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?
Artifacts
Decision logs and review patterns.
Evaluation harnesses for operator workflows.
HatTrick recommendation and follow-up loops.
What It Means
Where It Shows Up
Explicit Playbooks
Design playbooks that make assumptions, evidence, and next steps explicit.
Advice Evaluation
Evaluate advice quality with regression tests, outcome tracking, and review loops.
Decision Review
Help operators and advisors revisit decisions as new information arrives.
Why It Matters
How This Research Gets Used
Applied
Product direction
Research themes shape product workflows, internal evaluation, and open-source implementation choices.Evidence
Reviewable decisions
The work emphasizes assumptions, provenance, and feedback loops that humans can inspect.Browse Research
Evaluation loops for better operating choices.