Measuring Feature Flag Retirement

Key stats

• Feature flag retirement
• Two independent reviewers
• One named owner for the retest

Research question and scope

Research question: how many flags remain after their decision, and what prevents removal? The unit is one flag.

Scope

Define the flag, the owner, the decision date, the code paths, and the dependents.

Source hierarchy

Collect the flag, the rollout, the code search, the tests, and the removal.

Data quality

Sample new, old, and abandoned flags. Include a flag with a hidden client.

Sampling

Measure the age, the dead branches, the removal rate, and the failures.

Reviewer procedure

Have two reviewers classify the same flags. If they disagree, the owner map is unclear.

Reporting

Report the flags, the gaps, the owners, and the actions.

Decision use

Limitations: the code search may miss external clients. The method measures the documented flag.

Limitations

Decision use: change the review, the owner, or the cleanup. Retest after the change.

Replication

Scope for measuring feature flag retirement: define the eligible population, the observation window, the unit, and the exclusions before reviewing outcomes.

Operational implication

Source hierarchy for measuring feature flag retirement: name the controlling record for identity, state, owner, and policy. Preserve conflicts.

Counterexamples

Data quality for measuring feature flag retirement: validate identifiers, timestamps, duplicates, and missing fields. A clean extract can omit the cases that matter.

Field dictionary

Sampling for measuring feature flag retirement: include ordinary, adverse, and unresolved cases. Completed work alone will overstate the process.

Sensitivity

Reviewer procedure for measuring feature flag retirement: two reviewers classify independently, then compare reasons. Disagreement is evidence about the rubric.

Privacy

Reporting for measuring feature flag retirement: show counts, denominators, exclusions, and missing data. Do not publish a rate without the population.

Decision record

Decision use for measuring feature flag retirement: name the owner, the change, and the retest date. A study without a decision is a description.

Quality control

Limitations for measuring feature flag retirement: the sample is bounded, the records may be incomplete, and the method does not establish causation.

Close

Replication for measuring feature flag retirement: keep the query, codebook, reviewer notes, and source versions. A later reviewer should reproduce the result.

Adverse case

Operational implication for measuring feature flag retirement: pilot one lane, verify the evidence, and expand only after the owner accepts the result.

Population control

Counterexamples for measuring feature flag retirement: include a case that contradicts the expected pattern. The counterexample is often more useful than another confirming case.

Next review

Field dictionary for measuring feature flag retirement: define every field, the allowed values, the source, the timestamp, and the missing-value treatment.

Method step 22

Sensitivity for measuring feature flag retirement: test the main result under a different exclusion rule and time window. Report both readings if the conclusion changes.

Method step 23

Privacy for measuring feature flag retirement: use the minimum necessary data, restrict access, and remove temporary copies.

Method step 24

Decision record for measuring feature flag retirement: name the population, method, findings, limitations, owner, and next review.

Method step 25

Quality control for measuring feature flag retirement: check the sample, coding, calculations, and conclusions. A second reviewer should reproduce the result.

Method step 26

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

Method step 27

Adverse case for measuring feature flag retirement: include a record that appears successful but fails destination verification.

Method step 28

Population control for measuring feature flag retirement: reconcile opening records, additions, transfers, withdrawals, and ending records.

Method step 29

Next review for measuring feature flag retirement: set the date, the owner, and the evidence that would trigger a new study.

Evidence table

Good distributed work is observable at the handoff: the result, evidence, limitations, and next owner are explicit.

Frequently asked questions