Do executive signature requests reach the right authority? A routing study

Research question and operational decision

For documents presented for executive signature, can the record show what is being signed, the governing entity, the authoritative version, who requested it, who reviewed it, why this signer has authority, what conditions remain, and where the executed record went? The eligible population is all requests routed to participating executives for handwritten or electronic signature during a declared period, including accepted, rejected, reassigned, expired, voided, duplicate, test, and withdrawn requests. The study is designed to inform whether to require authority evidence at intake, separate drafting from signature readiness, strengthen version control, add a specialist-review gate, narrow platform access, or define controlled storage and distribution after execution. It is a descriptive review of one authorized workflow, not a performance ranking, legal conclusion, or claim that the observed pattern applies to every executive office. ^[1][2]

Use the first authorized submission to the signature queue, not an earlier draft review or an informal message asking whether the executive might sign as time zero. That choice prevents staff from making a slow process appear faster by starting the clock only after missing information has been supplied. State the period, systems, participating teams, inclusion rule, exclusion rule, and cutoff before reviewing results. Preserve excluded-case counts and reasons so the public conclusion has a visible denominator. ^[1]

This subject belongs to executive-support operations because O*NET describes work that includes scheduling, preparing reports, arranging meetings, conducting research, and handling information. The occupation description supports administrative coordination as the relevant context; it does not grant authority over the underlying executive, financial, security, legal, or strategic decision. Executive support may verify required administrative fields, compare approved version identifiers, route to named reviewers and signers, monitor status, and file the executed artifact. It may not interpret contractual obligations, decide who legally can bind an entity, apply or reuse a signature without authorization, bypass authentication, or state that execution makes a document legally sufficient. ^[2][3]

Case register and evidence model

Freeze a case register before calculating any rate. Capture request identifier, document type, entity, counterparty category, requester, business owner, authoritative file hash or version, required specialist reviews, signatory, authority evidence, signing order, deadline and consequence, identity or authentication event, questions, changes after review, disposition, executed-document location, distribution, retention class, revocation or void event, and audit history. Use the originating identifier where one exists, and create a stable coded identifier where it does not. Link later messages or system events to that case instead of counting every reminder, correction, or forwarded copy as new work. ^[1][4]

Classify final and interim states as ready for signature, missing authority evidence, missing review, wrong signer, wrong entity, stale or changed version, duplicate, rejected, reassigned, signed, expired, voided, withdrawn, and unresolved. Define each label in a data dictionary. In particular, distinguish a system notification from a human decision, a request from an approval, and an unknown value from a negative answer. If two reviewers cannot apply a label consistently, revise the definition and disclose the change. ^[1]

Separate four evidence layers. System events are observations within the limits of that system. Statements from participants are reported explanations. Reviewer labels are analysis. Recommendations are judgments about a future process. Never convert an absent record into proof that an action did or did not occur, and never turn a participant explanation into an independently verified cause. ^[1]

Retain corrections rather than silently overwriting them. A useful record shows the original value, corrected value, correction time, authorized editor, and reason when the system permits. Common cases worth sampling deliberately include urgency used as a substitute for authority, a final filename that is not a final version, the wrong legal entity, a copied signature request, an incomplete signing order, a changed attachment after review, access granted too broadly, or execution treated as proof that required review occurred. Keeping difficult cases visible protects the study from reporting only the cleanest path. ^[1][5]

Measures and review procedure

Report the eligible count and field completeness before reporting speed. Then calculate first-pass routing accuracy, authority-evidence completeness, version changes after approval, questions per request, elapsed time by document class, rejected or reassigned requests, duplicate sends, expired requests, and executed records whose controlled location is missing. Give counts with every percentage. Show medians and ranges only when start and end events are comparable; otherwise present a case table or grouped distribution and explain why a single summary would mislead. ^[1]

Write the readiness rule before inspecting outcomes. A case is not ready merely because it moved forward. Require the fields and evidence that the organization's authorized owner says are necessary for that class. When requirements change during the study, split the period or identify the mixed rule. Do not backfill old cases under a new rule and present the result as contemporaneous compliance. ^[1]

Ask a second authorized reviewer to reclassify a purposive sample containing routine cases, missing fields, exceptions, corrections, late cases, and at least one disputed case when available. Report the sampling rule, disagreements, and resolution method. Agreement on an easy convenience sample says little about whether the definitions work at the boundary. ^[1]

Review sequences, not just endpoints. Record when information became available, when it reached the decision owner, when a question returned, and when the final status was communicated. A completed status can conceal avoidable loops; an open status can be appropriate when the useful deadline has not passed or a named authority is deliberately considering the decision. ^[1][2]

Privacy, access, and control tests

The study extract should omit signatures, authentication factors, document contents, counterparty names, commercial terms, and private contact details unless strictly necessary and authorized. Public reporting should describe routing states and controls without revealing exploitable workflow details. NIST frames privacy risk management as an organizational activity. Apply that principle by defining a purpose for every extracted field, limiting reviewers, recording transformations, and setting a retention or deletion date before collection begins. ^[4]

Test access separately from completeness. A complete case assembled through excessive access is not a good result. Record the approved role or purpose that allowed each reviewer to inspect the source, and use coded status where content is unnecessary. NIST SP 800-53 provides a control catalog that can inform access, audit, identification, and data-handling design without making this study a certification. ^[5][4]

Keep the research extract apart from the operational system of record. Store only what the analysis requires, do not copy credentials or authentication secrets, and do not publish internal paths or control configurations. If suppression is necessary, disclose its effect on the denominator. Suppressed evidence is unavailable for the public analysis; it is not a favorable or unfavorable outcome. ^[4][5]

Interpretation and role-design implications

An audit trail establishes only what the system captured. It may not contain offline approvals or prove legal authority, informed consent, identity, enforceability, or the substantive quality of a document. Those questions require the accountable specialist and governing records. Review individual cases before assigning cause. A long interval, correction, or exception can reflect a sound control, new facts, a delayed owner, a system limitation, or avoidable administrative rework. The record must support the explanation used. ^[1]

Use the findings to choose the smallest relevant intervention: whether to require authority evidence at intake, separate drafting from signature readiness, strengthen version control, add a specialist-review gate, narrow platform access, or define controlled storage and distribution after execution. Name the owner of the change, the implementation date, the cases it applies to, the expected observable effect, and the date of a repeat review. Preserve the original definitions or explain why comparison is no longer valid. ^[1][2]

Role selection should follow the observed bottleneck. Administrative support is relevant when intake, retrieval, routing, version control, scheduling, or closure evidence repeatedly fails. Executive project coordination is relevant when dependencies and owners are dispersed. Chief of staff support may be relevant when recurring cross-functional choices need structured synthesis. None of those roles should absorb authority that remains with an executive or qualified specialist. ^[2][3]

Executive support may verify required administrative fields, compare approved version identifiers, route to named reviewers and signers, monitor status, and file the executed artifact. It may not interpret contractual obligations, decide who legally can bind an entity, apply or reuse a signature without authorization, bypass authentication, or state that execution makes a document legally sufficient. A defensible recommendation states the task, authority, evidence required for closure, and escalation event. That makes the service scope testable and keeps a smoother workflow from being confused with a better substantive decision. ^[2][5]

Limitations and conclusion

This design cannot prove causation. Formal systems may overrepresent teams that document work consistently and underrepresent verbal, urgent, or highly sensitive cases. A short period may be dominated by travel, an event cycle, an absence, or a reporting deadline. Describe those conditions, publish missingness, and avoid universal benchmarks. ^[1]

Do not compare people or teams unless their populations, definitions, authority, systems, and operating periods are comparable. BLS and O*NET describe occupational work at a broad level; they do not establish a staffing ratio, service level, or productivity target for a particular company. Local case evidence should drive the scoped operating decision. ^[3][2]

The narrow conclusion is to measure the declared population from the first authorized submission to the signature queue, not an earlier draft review or an informal message asking whether the executive might sign, preserve exceptions and unknowns, and connect each recommended change to an accountable owner. Better executive support can improve preparation, routing, continuity, and record quality. It cannot replace the judgment, consent, approval, or specialist review required by the underlying decision. ^[1][2][4]