Pick a standard Taguchi fractional array, or build a Full Factorial design (all combinations, no confounding) for a small factor count.
Build Full Factorial Design
= 8 trials
Step 2
Configure Factors & Response Settings
Step 3
Enter / Import Response Data
Each row is one experimental trial defined by the array. Enter observed response readings per replicate.
Step 4
Analysis Results
Response Table (Mean S/N by Level)
Main Effects Plots (S/N Ratio)
Simplified ANOVA (Contribution)
Sum of squares based on S/N ratios. If a factor uses all array columns (saturated design), no error term is available — contribution % is shown relative to total variation only. Pool low-contribution factors as the error term per standard Taguchi practice if needed.