Report

Global Organization Design Practitioner Report

Publisher

Organization Design Forum

Date

March 2026

My role

Lead analyst (qualitative)

View on publisher site → Local copy (PDF) →

Canonical report: https://organizationdesignforum.org/odf-research/

About the Report

In March 2026, the Organization Design Forum published its first Global Organization Design Practitioner Report.

I led the qualitative analysis and write-up, working from a global survey of practitioners across in-house, external, and academic roles. The report mapped where the field is today and where it’s heading.

One finding in particular sits at the heart of why this site exists: AI is widely used in day-to-day OD work, but rarely embedded into operating model design itself. That gap is what I’m working on closing.

Download the report on the Organization Design Forum research page or use the local copy (PDF) link above. The ODF site is the canonical source.

ODF Organization Design Practitioner Survey 2026: Synopsis

The survey. 297 practitioners responded over one month (late 2025), distributed via ODF’s mailing list, partner organisations including EODF, ODN, the Socio-Technical Systems Roundtable, Business Agility Institute, USC-CEO, and the Operating Model & Organization Design LinkedIn group. Geographic concentration was North America (53%) and UK/Europe (29%), with the remaining 18% from Central and South America, the Middle East, Asia, and Oceania. The respondent base skewed experienced: well over half had 11+ years in OD, and over three-quarters self-assessed as experienced or highly advanced.

Who is practicing OD. The sample split roughly 50/50 between in-house and external practitioners, with 9.5% academics. A potential career trajectory was visible: entry-level practitioners were predominantly in-house, while external practitioners concentrated in the most experienced cohort. The “hyphenate” pattern was a defining feature: 80% of respondents consider OD a core skill, but only 43% describe it as their primary area of expertise. The most common role titles spanned Executive Leadership, Organization Designer, Organization Development & Effectiveness, and Consulting & Advisory.

Sponsorship and leadership. OD work was predominantly sponsored by CEOs and Chief People Officers, with the rest distributed across the C-suite and senior leadership. CFO sponsorship was notably low even for cost-reduction projects. External OD specialists led slightly more projects than internal OD specialists (47% vs 34%), but combining internal specialists with internal non-specialists, in-house leadership reached 70.8% of projects. Just over 25% of respondents reported at least one project led by a non-specialist.

Where the work occurs. Three-quarters of respondents had worked in the for-profit sector, 23% in government, and 21% in non-government, not-for-profit or charitable sectors. Technology, Professional & Business Services, Manufacturing, and Finance & Insurance topped the industry list. Most projects focused on business unit, department, or enterprise scope.

Drivers. Operational improvements / new ways of working (140 mentions) and strategic change (134) led the drivers. Cost reduction (95), business growth (91), and M&A (73) followed. Technology/AI adoption was selected by just over 8% of respondents as a primary driver, which is striking given the broader discourse. Drivers tended to cluster rather than appear in isolation, with operational improvement and strategy change forming the central hubs.

Methods and tools. 52% choose different methodologies based on project need, 41% use a consistent methodology, and 7% use no specific methodology. The average respondent listed 3.2 models or tools from their most recent project. Galbraith’s star model and its variants were the single most-cited framework (24% of respondents). Newer or digital-native approaches appeared, but sporadically. The data points to continued reliance on adaptations of long-established models.

Technology and AI. 60% of respondents had used OD-specific technologies in some form, but only 29% used them regularly or extensively. Commercial products (OrgVue, JustOrgDesign, AgentNoon) showed the highest adoption. Contrary to assumptions about generational tech-savviness, practitioners with 11+ years’ experience were more likely to have adopted OD technologies than those earlier in their careers. AI use in day-to-day work was high and broadly even across experience bands: research and analysis (112), personal productivity (103), content generation (91), ideation (84), modelling (41). When asked about AI integration into operating model designs, 44.1% reported no integration, 29.6% had experimented, 11.8% had augmented an existing model, 7.9% had redesigned a significant segment, and 3.3% had reimagined an entire model around AI.

Impact. 56% of respondents always or usually reconcile intended versus actual impact. Success indicators clustered around financial performance, alignment to strategy, existence of tracking processes, implementation and adoption, operational efficiency, and organisational clarity. Externals framed success more through client outcomes; in-house practitioners framed it more through internal organisational health.

Challenges. The hardest work is often the context around the design rather than the design itself: client leadership and buy-in, implementation and adoption, time and capacity constraints, strategic and systems alignment, tools and AI fluency, practitioner development and community, evidence and data, and scope clarity.

Future skills. Respondents identified technology and tools, OD methods and frameworks, data and analytics, strategy/finance/business modelling/governance, facilitation and consulting skills, executive coaching and leadership psychology, workforce architecture, agile ways of working, and change implementation as priority development areas.

Where OD is heading. AI and digital technology was the most cited emerging trend, followed by adaptive design practices, internal capability and professionalisation, workforce and role design, participatory and human-centred design, and the move from boxes to systems, networks and ecosystems. Respondents anticipated continuous self-redesigning systems, greater agility and resilience, commoditisation and democratisation of OD capabilities, and stronger customer and employee centricity.

The seven open questions for the field. Is OD innovating fast enough for the world it serves? Will OD become subordinate to technology? Is OD really becoming continuous, or is that mostly aspiration? Are agility and resilience emerging reality or persistent rhetoric? Can OD reconcile short-term pressure with long-term challenges? What happens as OD capabilities spread: democratisation or dilution? Is OD a unified profession or a loose umbrella?