Measuring the review cost of executive inbox approval queues

Key takeaways

• Measure review minutes, queue age, reopenings, and missed deadlines for each request type.
• Count requests filtered by the support threshold so the executive queue reflects real decision load.
• Rank the queue by consequence, not only by age or by the number of messages.
• Test one request-template or threshold change and compare the same measures afterward.

Question and scope

This study asks how much executive time an inbox approval queue consumes before a decision is made. The unit is one approval request, from arrival to recorded decision. The review measures the time the executive spends reading and deciding, the time the request waits, and the work created when an item returns. It does not measure the quality of the decision itself. That separation is important, because a fast decision can still be a poor one and a slow decision can still be necessary.

Set the scope to one executive and a fixed number of working weeks. Record the channels that carry approval requests, the support role that routes them, and the threshold rules in force. If the threshold changes during the window, separate the periods. Include requests that were decided, deferred, and withdrawn, because a withdrawn request still consumed review time. A clear scope lets the office compare the queue with the work it is meant to support.

What the sources establish

Microsoft's Work Trend Index research examines the communication and meeting load that knowledge workers carry across email, chat, and meetings. The BLS Occupational Outlook Handbook describes administrative support as work that includes scheduling, communication, records, and coordination rather than a single task. NIST SP 800-53 provides control guidance for access enforcement and audit logging, which matters when approvals involve sensitive systems or spending. Harvard Business Review's meeting research examines how preparation and follow-through affect the use of leadership time. These sources frame the cost but do not provide a benchmark for a specific queue.

The practical claim is that an approval queue has three costs: the review itself, the waiting it creates, and the rework when a request returns. Counting only the number of messages captures none of them. A queue of twenty small requests may cost less than three complex requests that each require a second review. The study therefore measures each request as a unit of work with a visible state, not as an inbox item to be cleared.

Definitions and measures

Define an approval request as a message or queue item that asks the executive to authorize a choice, a spend, a commitment, or an exception. Define review time as the minutes the executive spends reading, asking questions, and recording a decision. Define queue age as the time between arrival and the first substantive review. Define reopening as a return to the queue after a decision because the request lacked information or the decision was unclear. These definitions should be written before the sample is drawn.

Measure the number of requests, the review minutes, the queue age, the number of reopenings, and the number of requests that passed their deadline. Record the requester, the decision owner, and the support role that prepared the item. Separate requests that were decided inside the support threshold from those that reached the executive. Report the median and the oldest case rather than only an average. A single request that waited three weeks can reveal more than a mean that hides it.

Sampling and collection

Sample approval requests rather than messages, then follow each selected request through its full life in the queue. Include requests that were decided quickly, deferred, reopened, and withdrawn. Stratify by request type so travel, spending, contracts, and personnel items are not collapsed into one category. Record the sampling rule and the period covered. If the volume is low, extend the window rather than combining unrelated request types.

Collect the original request, the supporting material, the decision record, and the timestamps for arrival, first review, decision, and closure. Ask the executive or the assistant to estimate review minutes only when a system timestamp is unavailable. Mark those estimates as estimates rather than presenting them as measured time. Mask confidential details that are not needed for the analysis. A second reviewer should check the timestamps on a sample before the totals are calculated.

Record the request channel as part of each case, because an approval that arrives in a chat may follow a different path than one that arrives in a formal queue. If the channel changed during the window, separate the periods. Note whether the request was routed by the support team or sent directly to the executive. That detail helps explain why some items waited longer than others. It also shows whether the queue is really one queue or several informal ones.

Analysis and reporting

Report the number of requests, total review minutes, median queue age, reopenings, and missed deadlines by request type. Show the oldest open request separately. A table with these columns gives the executive a clear picture of where the queue is slow without requiring a dashboard. Include the count of requests handled inside the support threshold so the reader can see how much work was filtered before it reached the executive. That context prevents the queue from looking larger than the actual decision load.

Inspect the requests with the longest queue age and ask what they were waiting for. The cause may be missing information, an unclear approver, a conflict with another decision, or simple neglect. Group the causes and choose one change, such as a required recommendation field or a named backup approver. Record the change and the date it starts. Do not assume that a faster queue is always better, because some decisions need more evidence.

Compare the review cost with the consequence of the decisions in the sample. A five-minute approval of a major contract deserves more scrutiny than a five-minute approval of a routine travel change. Rank the queue by risk and review the high-consequence items first. That ranking helps the executive spend attention where it changes the outcome. It also gives the support team a defensible reason to escalate some requests faster than others.

Limits and sources of error

The study cannot capture the mental load of an approval that sits in the back of the executive's mind while other work continues. It can show the recorded review time and the visible queue age, but not the cost of switching attention back to an old item. A time estimate from the executive may also be rounded or biased by the most recent request. Report those limits and use them to qualify the totals rather than presenting the numbers as exact.

A queue may also contain requests that never should have reached the executive, and removing them can flatter the review-time result without improving the decision process. Keep the threshold categories in the analysis so the reader can see what changed. If the sample is small, report the count and avoid claiming a general rate. The reviewer should note any request that lacked a decision record, because an unrecorded decision is a gap in the evidence.

The study also cannot separate the cost of a genuinely complex decision from the cost of a poorly prepared request. A long review may be appropriate when the evidence is thin or the consequence is high. Record the complexity rating and the consequence level beside the review time. Without that context, a fast approval may look efficient while hiding a decision that deserved more scrutiny. The reviewer should state which cases could not be classified confidently.

Review and next action

Choose one change from the findings, such as a mandatory recommendation, a clearer approval threshold, or a weekly queue review. Assign an owner and a test period. Keep the change small enough to compare with the current process. The [approval queue routine](/blog/turning-executive-inbox-approvals-into-a-tracked-queue/) describes the practice this study measures. A tested change is more useful than a general instruction to respond faster.

Repeat the review with the same definitions and compare queue age, reopenings, and review minutes. Close the review when the office can show which request types improved and which still wait too long. Report the remaining uncertainty and the requests that were not sampled. The goal is a queue that gives the executive the information needed for a responsible decision without making every decision feel urgent. That balance is the real measure of review cost.

Sources

1. Secretaries and Administrative Assistants, U.S. Bureau of Labor Statistics, Occupational Outlook Handbook.
2. Executive Secretaries and Executive Administrative Assistants, U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics.
3. Executive Secretaries and Executive Administrative Assistants, O*NET OnLine.
4. Business Formation Statistics, U.S. Census Bureau.
5. Nonfarm Business Sector: Labor Productivity, Federal Reserve Economic Data.
6. Productivity Statistics, OECD Data Explorer.
7. World Development Indicators, World Bank DataBank.
8. ILOSTAT Labour Statistics, International Labour Organization.
9. 2024 Work Trend Index Annual Report, Microsoft and LinkedIn.
10. The economic potential of generative AI, McKinsey Global Institute.
11. Creating helpful, reliable, people first content, Google Search Central.
12. Search Engine Optimization Starter Guide, Google Search Central.
13. Dear Manager, You Are Holding Too Many Meetings, Harvard Business Review.
14. Microsoft 2024 Work Trend Index Annual Report.
15. BLS Occupational Outlook Handbook, Secretaries and Administrative Assistants.
16. NIST SP 800-53, Security and Privacy Controls.
17. Harvard Business Review, meetings.

Related research

• Turning executive inbox approvals into a tracked queue
• Building a daily executive brief that survives a busy morning
• Measuring brief freshness in executive daily summaries

Apply the research

Use the finding to frame one question for your own team: which support work is currently invisible, and who should own the next step? A scoped consultation can turn that question into a practical role. Write the question down before the meeting. Name the person who owns the next step.