Free in your browser · Built for bioprocess

Find your best process in fewer runs

Design of experiments for cell culture, fermentation and media optimization. Pick the right design, see how many runs you need, and read your results in plain language.

No install. No licence. No statistics degree.

Data never leaves your browser No card to start Mac, Windows & Linux Built by bioprocess engineers
01 Why DOE

Change one thing at a time,
and you miss the real optimum

Watch the same CHO titre landscape explored two ways. One-factor-at-a-time crawls along the edges and stops short. A designed experiment maps the whole space and lands on the peak.

One factor at a time
OFAT
0 runs· stopped at , blind to the interaction
Design of experiments
DOE
0 runs· found the peak at

Around a third fewer runs, and it actually finds the optimum the edge-crawling search walked straight past.

02 How it works, end to end

The DOE workflow, start to finish

Every designed experiment climbs the same six stages, from a question to a model you can act on. The tool guides you through each one — scroll to follow the path.

1

Define the objective

What are you trying to improve?

2

Define the factors

Temperature, pH, feed, media…

3

Define the responses

Titre, growth, byproducts.

4

Select the design

The guided picker recommends it.

5

Collect the data

Run the randomised sheet.

6

Model & analyse

Plain-language answer + report.

03 Which design fits your goal

Screening, optimization, or interactions

Every DOE design leans toward a purpose. Screening finds which factors matter, optimization locates the best setpoint, and interaction designs capture how factors work together. The picker maps your goal to the right one.

Screening Optimization Variable interaction Plackett–Burman Simplex-Centroid Simplex-Axial Taguchi Full factorial D-Optimal Simplex-Lattice Extreme Vertex Fractional Factorial Random Box-Behnken Central Composite
Screening — which factors matter Optimization — best setpoint Variable interaction — how they combine
Live in your browser · no signup

Your turn — drag the feed rate

Move the slider and hover the surface to read any point. This is the real plotting engine on a demo CHO dataset — the same response surface you get in the tool.

Open the full tool
Feed rate 6.4 mL/d
Response surface, in 3D

See the whole landscape at once

The flat contour above is a top-down view of this surface. Drag it to tilt. The star marks the predicted optimum — the peak your runs are hunting for.

Demo data, for illustration. With the real tool your own data never leaves your browser.

04 See it in action

A clear answer — not a wall of statistics

The tool builds the design, ranks what matters, fits the model, and tells you where to go next in one sentence. Example: a CHO fed-batch study with pH, Temperature, DO, Feed and Osmolality.

Factor levels across runs · the design matrix
pH Temperature DO Setpoint Feed Rate Osmolality
Effects, ranked by influence
Temp
8.9
pH×Feed
4.2
pH²
3.1
Feed
2.0
pH
1.1
Main 2-factor Quadratic Significance line
Model fit
0
0
R² adj
0
RMSE
<0.001
F p-value
In plain language: Temperature drives titre, and pH only matters through its interaction with feed. Predicted best: 37.2 °C, pH 7.1 — confirm it with two runs.
Export every figure as high-resolution PNG or vector SVG PRO
05 Why go Pro

Free finds the peak. Pro gets you there faster

The free tool is a full DOE engine. Pro adds the bioprocess intelligence and the audit trail that turn a good experiment into a submission-ready one.

Bayesian optimisation Coming soon

A Gaussian-process model will suggest the next run most likely to improve your result, so the best-so-far titre climbs with every cycle. Not included in DOE Pro today — in development, and free to existing subscribers when it ships.

Built for regulated bioprocess work

Everything below is in DOE Pro today. Start from a validated bioprocess preset, right-size the study, and export a report your quality team will accept.

  • 11 bioprocess presets — CHO media, fed-batch & AA feed, E. coli, Pichia, Sf9 baculovirus, plus mAb downstream (Protein A, CEX, AEX, HIC, formulation), each with sourced factors and ranges
  • Byproduct ceilings — cap lactate or ammonium while you maximise titre
  • Run-efficient designs — D-optimal designs and split-plot run order for hard-to-change setpoints
  • Power & sample size — know how many runs you need before you book the bioreactor
  • One-click GMP / QbD report — audit trail and ICH Q8/Q14 design space, submission-ready
Annual cost vs the desktop incumbents
JMP
~$1,390 / yr
Minitab
~$1,851 / yr
DOE Pro
$429.99 / yr

Around 3-4× cheaper, with no quote, no sales call, and no seat you lose when you change jobs. Public list prices, mid-2026.

06 How it compares

A fair, vendor-neutral comparison

On the points researchers actually complain about. Prices are public figures as of mid-2026; several incumbents are quote-only.

ToolPriceRuns in browserEasy for non-statisticiansBioprocess presetsOne-click GMP reportNo licence lock-in
This tool (DOE Pro)Free / $39.99 moYesGuided + plain languageYesYesYes
JMP~$1,390 / yrDesktopStats backgroundNoNoAnnual seat
Minitab~$1,851 / yrMostly desktopStats backgroundNoNoNamed seat
Design-ExpertQuote-onlyDesktop (Win)DOE-focusedGenericNoPerpetual or sub
MODDE (Sartorius)Quote-onlyDesktop + cloudStats backgroundYesYesEnterprise
07 Pricing

Simple, honest pricing

The free tool stays free. Pro is a small fraction of the desktop incumbents, with no quote and no sales call.

Guide + templates

One-time purchase
$9.99 once

Yours to keep. No subscription.

A plain-language DOE playbook plus print-and-fill worksheets for the bench. 11 pages, A4.

  • DOE for Bioprocess guide (PDF)
  • Planning worksheet
  • Randomized run-sheet template
  • Confirmation-run log
  • Media & feed protocols
Get the guide

Free

No account needed
$0

Free forever. No card.

The full classical DOE engine, guided design picker and run-count comparison.

  • All design types
  • Guided picker + run-count comparison
  • Analysis suite + plain-language summary
  • CSV run sheet + shareable link
Start free

DOE Pro · Monthly

Billed monthly
$39.99 /mo
$19.99 / mo
50% off · first 6 months
Enter code CWMTKYMW at checkout

Then $39.99/mo. Cancel anytime.

The bioprocess-aware DOE tool in your browser.

  • Everything in Free
  • 11 bioprocess presets: CHO, E. coli, Pichia, Sf9, and mAb downstream
  • Byproduct ceilings, D-optimal, split-plot
  • Publication figure export (PNG + SVG)
  • One-click GMP / QbD report
Subscribe monthly

Cancel anytime

Built by bioprocess engineers. Vendor-neutral. Cancel anytime.

Payments handled by Lemon Squeezy (merchant of record). Tax added at checkout where applicable. Introductory pricing applies for the stated period, then renews at the standard price.

Refunds & cancellation · Terms · Privacy · support@bioprocesstools.com

Frequently asked questions

Is there a free alternative to JMP or Minitab for design of experiments?

Yes. This is a free, browser-based design of experiments tool. It generates factorial, fractional factorial, Plackett-Burman, central composite, Box-Behnken and definitive screening designs and analyzes the results, with no install and no licence. A Pro tier adds bioprocess presets, run-efficient designs and a one-click GMP/QbD report.

Can I do design of experiments online, in a browser?

Yes. The tool runs entirely in your browser on any operating system, including Mac and Linux, with nothing to install and no IT ticket. You can share a design with a colleague by sending a link.

Do I need to know statistics to use DOE?

No. A guided picker asks a few plain questions and recommends the right design, and every result is explained in plain language, so you do not need a statistics degree or a statistician to run a proper experiment.

Which DOE design should I use for my experiment?

Tell the tool how many factors you have, whether you are screening or optimizing, and whether any factors are hard to change. It recommends the right design and explains why.

How many experimental runs do I need?

The run-count comparison shows every candidate design side by side with the number of runs and what each can estimate, plus a power check, so you can right-size the study before committing to costly bioreactor runs.

Is there a DOE tool for cell culture, fermentation or media optimization?

Yes. Pro includes 11 bioprocess presets covering CHO (media, fed-batch and amino-acid feed), E. coli, Pichia, Sf9 baculovirus, and mAb downstream steps (Protein A, CEX, AEX, HIC and formulation), byproduct-ceiling optimization (for example capping lactate or ammonium while maximizing titre), and handling for setpoints that cannot be re-randomized between runs.

Can I get a GMP or 21 CFR Part 11 design of experiments report?

Yes. The Pro tier exports a one-click validation report with your design, analysis, plots, company logo, an audit trail and ICH Q8/Q14 design-space framing, ready to drop into a submission.