Stat-Ease

Name: Stat-Ease
Brand: Stat-Ease

Make the most from every experiment!

Est 1985|13 Ref Customers

LinkedIn 2K|Web traffic 15K|FTEs 12|HQ Minneapolis, Minnesota, US

MarketsQuality Assurance A/B Testing & Experimentation

01Competitive Landscape

| Aspect | Stat-Ease (Design-Expert / Stat-Ease 360) | JMP | Sartorius MODDE | |--------|---------------|----------------|----------------| | Starting Price | Published subscription and one-time license pricing listed on third-party pricing listings and vendor product pages (verify with vendor) | Published base-tier annual pricing appears on third-party listings and vendor summaries (verify with vendor) | Pricing often provided on request and varies by region/edition | | Recommended For | Teams requiring a DOE-focused GUI with guided workflows and visualization; Stat-Ease 360 for Python-integrated DOE/computer experiments | Broader statistics platform with interactive analysis; used across engineering and manufacturing teams | Organizations with QbD/bioprocess needs and investments in the Sartorius analytics ecosystem | | Key Strength | DOE specialization and guided design/optimization workflows; visualization capabilities | Broad analytic breadth beyond DOE; established ecosystem | QbD/DOE positioning and integration with Sartorius products | | Key Weakness | Limited publicly visible enterprise security attestations and low third-party review volume in captured sources | Pricing transparency may vary; broader scope may be unnecessary if only DOE is required | Pricing transparency can be limited; may be more functionality than required for basic DOE needs | - Sources supporting the table (pricing and positioning) - Third-party pricing listings, vendor product pages, and public summaries were used for the comparisons; verify current pricing and commercial terms with vendors and procurement teams. - Narrative analysis - Differentiation: Stat-Ease emphasizes guided DOE workflows, while JMP is commonly selected when teams require broader statistical analysis within a single environment. - Buyer decision factors visible in public materials include usability and speed to generate interpretable results. - Market presence evidence is mixed: limited enterprise-review coverage in accessible sources may affect procurement evaluations.

01Competitive Landscape

Aspect	Stat-Ease (Design-Expert / Stat-Ease 360)	JMP	Sartorius MODDE
Starting Price	Published subscription and one-time license pricing listed on third-party pricing listings and vendor product pages (verify with vendor)	Published base-tier annual pricing appears on third-party listings and vendor summaries (verify with vendor)	Pricing often provided on request and varies by region/edition
Recommended For	Teams requiring a DOE-focused GUI with guided workflows and visualization; Stat-Ease 360 for Python-integrated DOE/computer experiments	Broader statistics platform with interactive analysis; used across engineering and manufacturing teams	Organizations with QbD/bioprocess needs and investments in the Sartorius analytics ecosystem
Key Strength	DOE specialization and guided design/optimization workflows; visualization capabilities	Broad analytic breadth beyond DOE; established ecosystem	QbD/DOE positioning and integration with Sartorius products
Key Weakness	Limited publicly visible enterprise security attestations and low third-party review volume in captured sources	Pricing transparency may vary; broader scope may be unnecessary if only DOE is required	Pricing transparency can be limited; may be more functionality than required for basic DOE needs

Sources supporting the table (pricing and positioning)
- Third-party pricing listings, vendor product pages, and public summaries were used for the comparisons; verify current pricing and commercial terms with vendors and procurement teams.
Narrative analysis
- Differentiation: Stat-Ease emphasizes guided DOE workflows, while JMP is commonly selected when teams require broader statistical analysis within a single environment.
- Buyer decision factors visible in public materials include usability and speed to generate interpretable results.
- Market presence evidence is mixed: limited enterprise-review coverage in accessible sources may affect procurement evaluations.