Key takeaways
- Time each retrieval from the request to the delivery of the correct version.
- Count wrong versions and second-person searches, not only the average speed.
- Compare the words requesters use with the names that actually find the file.
- Assign one owner to maintain the index and test it with a new colleague.
Question and scope
This study asks how long an executive office takes to retrieve the correct version of a document when the request arrives during a live decision. The unit is one retrieval request, not the number of files in the repository. The review records the request, the path taken, the version returned, and the time to delivery. It does not judge the quality of the document itself, only whether the right file arrived in time.
Set the scope to one executive and a fixed set of document types, such as board papers, contracts, and briefing notes. Record the repositories in use and the people who can search them. If a new repository or naming rule is introduced during the window, separate the periods. A narrow document set makes the comparison meaningful and keeps the sample manageable.
Record the document types that matter most to the executive, such as board papers, contracts, and briefing notes. A retrieval study that includes every file will spend most of its time on low-value searches. The review should focus on the documents that carry a deadline or a decision. That focus makes the result easier to act on.
What the sources establish
The IRS recordkeeping guidance describes why businesses should keep supporting records and how long certain records are useful. NIST guidance on information security and access control is relevant because retrieval must not bypass permissions. GAO's data reliability guidance supports documenting the source and version of each file. The Small Business Administration's management guidance discusses organizing business records. These sources explain why records matter but do not provide a retrieval-time benchmark.
The local measure should focus on the search, not the archive. A well-organized repository can still be slow if the request uses a different name than the file. The study therefore records the words the requester used and the words that eventually found the document. That gap is often the most actionable finding.
Ask whether the office has a single source of truth for each document type. If two repositories contain different versions, the retrieval problem is really a records problem. The review should note the overlap and avoid treating a slow search as the only issue. A version conflict can be more dangerous than a delay.
Definitions and measures
Define the start of a retrieval as the moment the request is received and the end as the moment the correct file is delivered. Define a correct file as the version that matches the current approval or the authoritative record. Record any intermediate files that were opened and rejected. A retrieval that ends with the wrong version is a failure even if it was fast.
Measure the number of requests, the median and longest retrieval time, the number of wrong versions delivered, and the number of requests that required a second person. Record the repository and the search method used. A simple count of failures by document type is more useful than an average that hides a single catastrophic search. Record the repository for each request so a slow system can be distinguished from a slow search.
Record whether the file was found through search, an index, a bookmark, or a colleague. The path matters because a search that depends on one person's memory will not scale. Note the search terms that worked and the ones that failed. That record is the raw material for a better index or naming rule.
Sampling and collection
Collect requests over four weeks and include both routine and time-pressured searches. Ask the assistant to note the request as it happens rather than reconstructing it later. Record the time, the requester, the document type, and the path taken. A contemporaneous note is more reliable than a weekly recollection.
Include searches that failed and were resolved by asking a colleague. Those are often invisible in a repository log but are the most expensive for the office. Record who was asked and how long the answer took. The full path shows whether the problem is the index, the naming, or the access rule.
Include searches that happened during a meeting, because those are the ones with the least tolerance for delay. Ask the assistant to note the meeting and the decision it supported without recording confidential content. A search during a live decision is a better test of the system than one done in a quiet hour. Record the time pressure in the note so a fast search and a rushed search are not treated as the same result.
Analysis and reporting
Report retrieval time by document type and by repository. Separate a slow search caused by a missing file from one caused by an unclear name. Look for requests that were repeated with different words before the file was found. Those repetitions are a direct signal that the index does not match how people ask for work.
Rank the failures by consequence. A late board paper can delay a decision, while a late meeting note may only annoy a reader. Choose one fix, such as a naming rule, a better index, or a single entry point. Test the fix on the same document types and compare the failure count.
Compare the slowest searches with the document types that are most often requested. A document that is requested every week should be easy to find, even if it is long. If the same file is repeatedly hard to retrieve, the fix may be a better summary or a stable link. That is a different intervention from a new repository.
Look at the documents that were retrieved quickly as well as the slow ones. A fast search can show that the index works for a common request, while a slow search shows where the naming rule fails. Compare the paths taken in both cases. The difference often points to a small fix, such as a stable link or a clearer title.
Limits and sources of error
The study cannot prove that faster retrieval improves decision quality, because a fast answer to the wrong question is not useful. Timing may also be distorted by a single urgent request that pulled the assistant away from other work. Report the distribution rather than only the average. Keep the raw request notes so a later reviewer can check the classification.
Repository logs may not capture searches that happened in email or in a personal folder. The assistant may also know the file location from memory, which makes the search look faster than it would be for a new colleague. Test a sample with a person who did not build the repository. That step reveals whether the system works without the original indexer.
Do not use the average to hide a single failure that delayed a board decision. Report the distribution and the outliers. A small number of very slow searches can matter more than a large number of fast ones. The executive will remember the failure, so the review should address it directly.
Review and next action
Choose one change, such as a required naming pattern or a short index maintained by the document owner. Test it for a month and repeat the same measures. The [confidential document room](/blog/setting-up-a-confidential-document-room-for-a-sensitive-project/) checklist can supply the access and version rules for sensitive files. Keep the old index available during the test so a failed search does not block live work.
Close the review when the office can show which document types are reliably retrievable and which still depend on a single person. Keep the results with the repository guide. The goal is not a perfect archive but a search path that a new assistant can follow under pressure. Share the result with the assistant who does most of the searching, because that person knows where the index fails.
Assign the index to a named owner and review it at the same cadence as the document cycle. A one-time cleanup will drift as new files arrive. The owner should remove duplicates and confirm the authoritative version. That maintenance is less exciting than a new tool, but it is what makes retrieval reliable.
Test the revised index with a person who has never worked in the repository. Give them three realistic requests and record the time and the path. Their mistakes are more useful than a demonstration by the person who built the index. Repeat the test after one month to see whether the fix held. The result should be shared with the document owners, not filed away.
Sources
- 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.
- Executive Secretaries and Executive Administrative Assistants, O*NET OnLine.
- Business Formation Statistics, U.S. Census Bureau.
- Nonfarm Business Sector: Labor Productivity, Federal Reserve Economic Data.
- Productivity Statistics, OECD Data Explorer.
- World Development Indicators, World Bank DataBank.
- ILOSTAT Labour Statistics, International Labour Organization.
- 2024 Work Trend Index Annual Report, Microsoft and LinkedIn.
- The economic potential of generative AI, McKinsey Global Institute.
- Creating helpful, reliable, people first content, Google Search Central.
- Search Engine Optimization Starter Guide, Google Search Central.
- Dear Manager, You Are Holding Too Many Meetings, Harvard Business Review.
- IRS, What kind of records should I keep.
- NIST, Security and Privacy Controls.
- GAO, Assessing Data Reliability.
- SBA, Manage your business.
Related research
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.
Turn the finding into a support scope.
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