Executive meeting prep readiness benchmark in 2026
A practical framework for measuring whether executives receive the context they need before important meetings.
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; this is labor-market context, not a service price. [2] |
| Executive occupation employment | 502,800 | BLS employment estimate for executive secretaries and executive administrative assistants in 2024. [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] |
Key takeaways
- Measure requests, preparation, decisions, handoffs, and exceptions rather than activity volume alone.
- Set support permissions and escalation boundaries before assigning capacity or comparing models.
- Use public labor, productivity, and governance sources as context; use local four-week records for the decision.
- Review 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 |
| Fractional support | Recurring cadence plus bounded projects | Milestones, queue rules, and escalation are explicit |
| Managed support team | Coverage, specialization, QA, and backup | Provider owns service levels and account governance |
What this benchmark should measure
A practical framework for measuring whether executives receive the context they need before important meetings. starts with 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, blocked-by reason, and correction count. 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, one source of truth, explicit escalation rules, and a backup owner. These controls matter more when work is confidential or crosses functions. [8][6][2]
Interpret public data carefully
BLS provides a labor-market anchor, while Microsoft's research frames communication and work-volume pressure. Neither source establishes how much capacity a specific leadership workflow requires. [2][9][10]
Productivity, business formation, and generative-AI research can inform the questions to test, but they are not substitutes for local workflow evidence or human review. [11][12][13][14]
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. Change the role boundary or coverage plan when the evidence shows a different need. [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.