Factorial
Estimate main effects and interactions with transparent two-level designs.
🧬 Experimental design intelligence for every industry
Turn fewer, smarter trials into clearer decisions.
Plan defensible experiments, reveal interactions, model response surfaces, optimize factor settings, and document confirmation evidence in one guided laboratory.
1,000real-world cases
6design families
4analysis views
1guided lab
RUN MATRIX2³ + center points
#ABCY
1−−+82.4
2+−−91.7
3−+−76.9
4+++96.2
01 · DESIGN ENGINE
Choose the structure that matches the question.
The guided recommender balances factor count, curvature, precision, run capacity, and budget.
Fractional
Reduce runs while preserving screening power and documenting alias risk.
Screening
Narrow large factor sets before investing in detailed optimization.
Response Surface
Model curvature with central composite and Box-Behnken designs.
📚 1,000 CASE STUDIES
Practice with decisions that feel real.
Explore manufacturing, healthcare, logistics, finance, software, public service, construction, education, and more. Filter by industry, difficulty, and design type. View any case without changing it, or save it as your own editable experiment.
View OnlySave As ProjectDifficulty FiltersCross-Industry
Guided decisions
Plain-language prompts explain what to do next and why.
Statistical diagnostics
Regression, ANOVA, residuals, effects, and response surfaces.
Optimization
Translate fitted models into candidate settings and confirmation plans.
Professional safeguards
Risk registers, assumptions, audit history, and clear limitations.
Important professional-use notice
This application is an educational and decision-support tool. It does not replace qualified statistical, engineering, scientific, medical, legal, regulatory, safety, or quality judgment. Users must verify assumptions, measurement systems, experimental safety, applicable standards, and confirmation evidence before implementation.