Leadership cadence data

Leadership meeting cost benchmark in 2026

A practical method for estimating meeting preparation, attendance, decision, and follow-up cost.

Research desk with charts, planning matrix, and executive support capacity materials
Key takeaway: Use a four-week workload sample to turn a practical method for estimating meeting preparation, attendance, decision, and follow-up cost. into a support decision, then revise the model from queue age, rework, and missed commitments.

Key stats

MeasureValueContext
Executive assistant wage anchor$74,260BLS median annual wage for executive secretaries and executive administrative assistants in May 2024; it is context, not a service price. [2]
Communication load60%Microsoft's 2024 Work Trend Index measure for time spent in email, chats, and meetings in Microsoft 365 apps. [9]
Work-volume pressure68%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 $4.4TMcKinsey 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

ModelCost anchorManagement
Self-managedNo dedicated support capacityLeader owns preparation, routing, and follow-up
Delegated supportAssistant capacity for repeatable workflow stepsLeader retains approvals and sensitive judgment
Executive operations supportSupport links requests, meetings, records, and ownersSupport tracks status and escalates risk
Managed support teamCoverage, specialization, QA, and backupProvider owns service levels and account governance

What this benchmark should measure

A practical method for estimating meeting preparation, attendance, decision, and follow-up cost. 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

  1. Executive Secretaries and Executive Administrative Assistants, O*NET OnLine.
  2. Secretaries and Administrative Assistants, U.S. Bureau of Labor Statistics, Occupational Outlook Handbook.
  3. Executive Secretaries and Executive Administrative Assistants, U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics.
  4. Dear Manager, You Are Holding Too Many Meetings, Harvard Business Review.
  5. Creating helpful, reliable, people first content, Google Search Central.
  6. World Development Indicators, World Bank DataBank.
  7. Search Engine Optimization Starter Guide, Google Search Central.
  8. ILOSTAT Labour Statistics, International Labour Organization.
  9. 2024 Work Trend Index Annual Report, Microsoft and LinkedIn.
  10. Nonfarm Business Sector: Labor Productivity, Federal Reserve Economic Data.
  11. The economic potential of generative AI, McKinsey Global Institute.
  12. 2026 Work Trend Index Annual Report, Microsoft and LinkedIn.
  13. Business Formation Statistics, U.S. Census Bureau.
  14. Productivity Statistics, OECD Data Explorer.

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