Bayesian tools for design and user research.
Say what a small study can and cannot support: how many problems remain unseen, whether raters agree, and what to ask next.
Questions these tools answer
- We found these problems with five users. How many are we missing?
- Do our reviewers agree beyond chance?
- Which question would best tell our explanations apart?
- How sure are we of a rate, given what the team believes beforehand?
Instruments
- Capture–Recapture Estimator
- Inter-Rater Reliability Audit
- Collection Planner
- Beta-Binomial Calculator
- Expert Prior Builder
- DAG Sketchpad
- Sample Size Checker
- Usage Count Estimator
- Rating Estimator
- Competing Hypotheses
Articles
- How do you turn expert opinions into a prior?
- Are five users enough for a usability test?
- How many experts do you need for an expert review?
- How many ratings before an average means anything?