Measuring Access Removal Latency

Research question

Method

Define the trigger, the approval, the removal, and the verification. A disabled account with an active session is not removed.

Collect the ticket, the system log, the session, and the verification.

Sample across systems, roles, and departure types. Include a temporary access and a shared mailbox.

Measure the median, the tail, the unverified rate, and the exceptions.

Measures and analysis

Have two reviewers verify the same removals. If they disagree, the definition is unclear.

Key finding

Report the removals, the delays, the owners, and the actions.

Limitations

Operational use

Decision use: change the workflow, the owner, or the verification. Retest after the change.

Scope for measuring access removal latency: define the eligible population, the window, the unit, and the exclusions before inspecting outcomes.

Source hierarchy for measuring access removal latency: name the controlling record for identity, state, owner, and policy. Preserve conflicts.

Data quality for measuring access removal latency: validate identifiers, timestamps, duplicates, and missing fields. A clean extract can omit the cases that matter.

Sampling for measuring access removal latency: include ordinary, adverse, and unresolved cases. Completed work alone will overstate the process.

Reviewer procedure for measuring access removal latency: two reviewers classify independently, then compare reasons. Disagreement is evidence about the rubric.

Reporting for measuring access removal latency: show counts, denominators, exclusions, and missing data. Do not publish a rate without the population.

Decision use for measuring access removal latency: name the owner, the change, and the retest date. A study without a decision is a description.

Limitations for measuring access removal latency: the sample is bounded, the records may be incomplete, and the method does not establish causation.

Replication for measuring access removal latency: keep the query, codebook, reviewer notes, and source versions. A later reviewer should reproduce the result.

Operational implication for measuring access removal latency: pilot one lane, verify the evidence, and expand only after the owner accepts the result.

Counterexamples for measuring access removal latency: include a case that contradicts the expected pattern. The counterexample is often more useful than another confirming case.

Field dictionary for measuring access removal latency: define every field, the allowed values, the source, the timestamp, and the missing-value treatment.

Sensitivity for measuring access removal latency: test the main result under a different exclusion rule and time window. Report both readings if the conclusion changes.

Privacy for measuring access removal latency: use the minimum necessary data, restrict access, and remove temporary copies.

Decision record for measuring access removal latency: name the population, method, findings, limitations, owner, and next review.

Quality control for measuring access removal latency: check the sample, coding, calculations, and conclusions. A second reviewer should reproduce the result.

Close for measuring access removal latency: publish the unresolved cases and the decision. A method that is not used to change a control is not an operating study.

Adverse case for measuring access removal latency: include a record that appears successful but fails destination verification.

Population control for measuring access removal latency: reconcile the opening records, additions, transfers, withdrawals, and ending records. Explain every difference.

Authority for measuring access removal latency: the study can describe the process, but the accountable owner decides the change, the risk, and the customer remedy.

Next review for measuring access removal latency: set the date, the owner, and the evidence that would trigger a new study.