Executive meeting preparation benchmark in 2026
How to benchmark meeting preparation by decision quality, pre-read readiness, and follow-through ownership.
Key stats
| Measure | Value | Context |
|---|---|---|
| Executive assistant wage anchor | $74,260 | BLS median annual wage for executive secretaries and executive administrative assistants in May 2024; it is context, not a service price. [2] |
| Communication load | 60% | Microsoft's 2024 Work Trend Index measure for time spent in email, chats, and meetings in Microsoft 365 apps. [9] |
| Work-volume pressure | 68% | Microsoft reports that 68% of surveyed people struggle with the pace and volume of work in its 2024 survey. [9] |
| Generative AI context | $2.6T to $4.4T | McKinsey estimate across 63 use cases and industries; it is not a benchmark for this workflow. [11] |
Key takeaways
- Measure work categories, decisions, handoffs, and exceptions rather than raw activity alone.
- Define what support may prepare, route, draft, approve, or escalate before sizing capacity.
- Keep public statistics as context and use local four-week workload data for the operating decision.
- Track queue age, rework, missed commitments, and executive review time after the pilot.
Support model comparison
| Model | Cost anchor | Management |
|---|---|---|
| Self-managed | No dedicated support capacity | Leader owns preparation, routing, and follow-up |
| Delegated support | Assistant capacity for repeatable workflow steps | Leader retains approvals and sensitive judgment |
| Executive operations support | Support links requests, meetings, records, and owners | Support tracks status and escalates risk |
| Managed support team | Coverage, specialization, QA, and backup | Provider owns service levels and account governance |
What this benchmark should measure
How to benchmark meeting preparation by decision quality, pre-read readiness, and follow-through ownership. should begin with the work itself: requests, preparation, coordination, records, and follow-through. O*NET and BLS describe executive administrative work as broader than calendar administration, so a narrow activity count will understate demand. [1][2]
Build a four-week sample with request type, effort, urgency, sensitivity, decision owner, response window, and blocked-by reason. Keep recurring work separate from exceptions. [3][4][5]
Set boundaries before sizing capacity
Support can prepare context, route requests, draft routine material, maintain records, and track actions. Consequential judgment, sensitive approvals, and final accountability remain with the named executive unless a narrower delegation is documented. [1][6][7]
Use least-privilege access, a single source of truth, explicit escalation rules, and a backup owner. Those controls matter more as work becomes confidential or cross-functional. [8][6][2]
Interpret public data carefully
BLS provides a useful labor-market anchor, while Microsoft's research frames communication and work-volume pressure. Neither source tells a company how much capacity its specific leadership workflow requires. [2][9][10]
McKinsey's generative-AI estimate supports testing lower-risk drafting or retrieval workflows, but it is not evidence that automation will improve this team's outcome without review and governance. [11][12]
Turn the benchmark into a hiring decision
Compare direct, fractional, managed, and shared support against the same workload sample. Include management time, tools, coverage, onboarding, access controls, and continuity rather than invoice cost alone. [3][13][14]
Pilot the chosen model for four weeks, then review response windows, queue age, rework, missed commitments, and executive time. Publish a lower capacity estimate when reliable evidence is insufficient. [5][7][4]
Sources
- Executive Secretaries and Executive Administrative Assistants, O*NET OnLine.
- Secretaries and Administrative Assistants, U.S. Bureau of Labor Statistics, Occupational Outlook Handbook.
- Executive Secretaries and Executive Administrative Assistants, U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics.
- Dear Manager, You Are Holding Too Many Meetings, Harvard Business Review.
- Creating helpful, reliable, people first content, Google Search Central.
- World Development Indicators, World Bank DataBank.
- Search Engine Optimization Starter Guide, Google Search Central.
- ILOSTAT Labour Statistics, International Labour Organization.
- 2024 Work Trend Index Annual Report, Microsoft and LinkedIn.
- Nonfarm Business Sector: Labor Productivity, Federal Reserve Economic Data.
- The economic potential of generative AI, McKinsey Global Institute.
- 2026 Work Trend Index Annual Report, Microsoft and LinkedIn.
- Business Formation Statistics, U.S. Census Bureau.
- Productivity Statistics, OECD Data Explorer.