Statistical Design of Experiments · Windows desktop app · version 0.3.0
DoEStat is the complete DoE suite for development, formulation and process optimization: every relevant design type, modern analysis and a validation package for regulated environments — audit trail, IQ/OQ and a traceability matrix linking every method to its literature reference, source file and verification.
Contour plots from a three-factor central composite design (CCD) with 19 runs.
From screening to multi-response optimization — DoEStat covers the entire DoE workflow, with no add-on modules and no forced cloud.
Full and fractional factorial, RSM (CCD, Box-Behnken), mixture designs, D-/A-/I-optimal plans, split-plot through split-split-plot, Taguchi, definitive screening and nested designs — including design evaluation with power, efficiencies and FDS curves.
Every statistical method follows a published standard reference (Montgomery, Myers, Cornell, Box & Hunter, Scheffé, Jones & Nachtsheim …), cited in the source code and in the traceability matrix. Numerical kernels are checked against R and NIST reference data.
Native .NET 9 Windows application with auto-update: your data stays on your machine — no cloud lock-in, no dependency on external servers. Bilingual interface (German/English) with contextual help and result interpretation.
If you work with Design-Expert you will feel at home right away: same
terminology, same workflows — from design selection through ANOVA and
diagnostics to desirability optimization. Existing project files
(.dxpx) import directly, with a preview and a list of
notes before anything is taken over.
In GxP environments it is not raw computing power that counts but the chain of evidence. DoEStat ships it — four artifacts that fit together and can be presented as one package during an audit.
Every action — create, edit, import, analyze, optimize, export — is appended with a UTC timestamp, the user and the app version. Each entry carries the SHA-256 hash of the project state before and after it, so the entries form a verifiable chain: later edits or deletions become visible. Modelled on 21 CFR Part 11 § 11.10(e) and EU Annex 11 § 9; electronic signatures over the project manifest per § 11.50 (signer, time, meaning).
On the first start of an installed version DoEStat writes an IQ report (installation qualification) as a PDF: version, installation path, environment. The OQ self-test runs inside the application under Help → OQ self-test, re-computes 47 defined checks against stored reference values including tolerances and issues a certificate — operational verification on the very machine the work will run on.
The traceability matrix links five things in a single row for every statistical method: literature reference → implementing source file → guarding unit test → matching OQ check → tolerance. It is generated from the reference and OQ catalogs and pinned by a test: if a method drops out of the matrix, the build fails — the documentation cannot silently drift away from the code.
Every entry in the changelog is categorized by the re-validation effort it triggers — from “purely cosmetic” to “affects the computational core”. That lets you decide before an update what actually needs re-qualifying, instead of running the full round for every release.
The traceability matrix, the reference list and the changelog are part of the delivery and can be provided up front for assessment. DoEStat is a tool — qualifying it in your specific environment (responsibilities, SOPs, acceptance) stays with you; we supply the evidence you need for it.
Design-Expert is an established tool — DoEStat offers the same core workflow and goes beyond it where it matters.
| Feature | DoEStat | Design-Expert |
|---|---|---|
| Factorial, RSM, mixture, optimal designs | ✓ Complete | ✓ Complete |
| Split-split-plot (three randomization strata) | ✓ GLS-optimized (D and I), REML analysis | ◐ Split-plot; split-split-plot limited |
| Robust optimization E[desirability] | ✓ Expected desirability under factor variation | ◐ POE approach, no E[D] optimization |
| Monte Carlo Cpk simulator | ✓ Error rate & Cpk per response, fully integrated | — Not included |
| Audit trail & electronic signature | ✓ Append-only, SHA-256 hash chain, signature over the project manifest | — No publicly documented feature |
| In-app IQ report & OQ self-test | ✓ IQ PDF on first start, 47 OQ checks with certificate | ◐ Qualification documents on request from the vendor |
| Validation documentation | ✓ Traceability matrix method→reference→test→OQ, included | ◐ On request from the vendor |
| Migrating existing projects | ✓ Direct .dxpx import with preview and notes |
✓ Native format |
| Price transparency | ✓ Price published on this page, German-speaking contact | ◐ Quote-based |
As of August 2026, DoEStat 0.3.0. Design-Expert is a registered trademark of Stat-Ease, Inc. Third-party feature information is based on publicly available vendor documentation and is provided without guarantee.
DoEStat is developed and published in Germany. The tool is built by statisticians for use in regulated industries: every method backed by a citable standard reference, every calculation with a chain of evidence behind it.
Sales, training and consulting run through our authorised partners — in Germany, Austria and Switzerland through STATCON GmbH. You reach us directly, no ticket system, in German or English.
Enquiries about DoEStat are currently handled by our partner STATCON. Training and DoE consulting on request.
We are looking for qualified channel partners across Europe: statistics consultancies, analytical-instrument distributors and software resellers serving pharma, chemistry and materials science. Partners sell a DoE suite that comes with a validation package and a straightforward licensing model — with a direct line to the development team.
Target markets: DACH, France, Scandinavia, Benelux, UK — additional markets internationally on request.
Interested in becoming a reseller? Get in touch — we will follow up with terms and partner materials.
Subject: “DoEStat Reseller-Programm”
Clear licensing — no hidden modules.
Free
30 days, full feature set
249 €/year
Per named user · net, plus VAT
Recommended
999 €/year
Introductory launch price
Named-user annual licence · net, plus VAT
Checkout via Stripe · invoice with VAT shown separately.
On request
Named-user volume licences
From five licences onwards the price per licence goes down. It is based on the Professional price and applies to licences under one agreement.
| Licences | Discount | Price per licence and year |
|---|---|---|
| 1–4 | — | 999 € |
| from 5 | −15 % | 849 € |
| from 10 | −25 % | 749 € |
| from 15 | On request | |
All prices are net in euros, plus statutory VAT. The introductory price applies to the named-user annual licence at the market launch of DoEStat 0.3.0; volume pricing refers to the Professional price in effect at the time. Academic licences are tied to teaching and non-commercial research and are excluded from volume pricing.
