Experimental Design Tool

DOE Navigator
Run experiments that work.

A structured 7-stage wizard for designing, running, and analysing experiments — built on Montgomery's DOE framework and statistical best practices. Stop guessing at which variables matter.

The 7-stage DOE wizard

Define Problem

Select Response

Choose Factors

Select Design

Run Experiment

Analyse Results

Confirm & Act

Tool Capabilities

Statistical rigour, without the spreadsheet pain

The DOE Navigator handles the statistical complexity so you can focus on asking the right experimental questions.

Intelligent Design Recommendation

Answer a few questions about your factors, levels, and resource constraints — the tool recommends the optimal experimental design: full factorial, fractional factorial, or response surface.

Main Effects & Interaction Analysis

Visualise main effects plots and two-factor interaction diagrams. Instantly see which factors drive the most variation in your response variable.

ANOVA & Statistical Significance

Automated Analysis of Variance table with p-values, F-statistics, and effect size calculations. Know exactly which factors are statistically significant before you act.

Response Surface Methodology

Fit a regression model to your experimental data, visualise the response surface, and identify the optimal factor settings to maximise or minimise your output.

Full & Fractional Factorial Confounding Patterns Regression Model Fit Residual Analysis Confirmation Run Guidance Montgomery Framework

How It Works

From hypothesis to confirmed result

Define your problem and response variable

Articulate what you're trying to improve and how you'll measure it. The wizard prompts you to think through measurement system adequacy before designing the experiment.

Identify and screen your factors

List candidate input variables and specify their levels. If you have many factors, the tool guides you to a screening design to narrow the field first.

Select and build your design matrix

Receive a recommended design with the run matrix generated for you. Add centre points, randomise run order, and set blocking if needed.

Enter results and interpret the analysis

Input your response data and get ANOVA tables, effects plots, and a regression model. The tool flags significant factors and recommends confirmation runs.

DOE NavigatorRun experiments that work.