Docs checked against releases

Find outdated statements before the release reaches customers

A release changes Forecasting export columns. Writers need to know which topics describe the old behavior, including references buried in other guides. Feature-to-content relationships can produce an inspectable impact list before customers discover the discrepancies.

See the comparison

The task in this example

Which pages need changes when release 26.4 changes the Forecasting export columns?

Business goal: Increase efficiency
Business metric: Docs ready at release

The release change should reach every affected statement

The same export change affects three topics in this collection. The comparison changes how those topics are located and checked.

Writers search without a feature map

The release ticket names the change, but nothing links the feature to its descriptions.

A search finds the main reference while two related topics retain the old column list.

Change: Export columns changed
Coverage check: Keyword search only
Remaining issue: Related topics missed

Customers can encounter outdated instructions

The impact list follows source relationships

The feature links to topics and elements describing its output.

The three affected topics are compared with the approved new behavior and routed to writers before release.

Change: Export columns changed
Coverage check: Feature relationships plus statement comparison
Remaining issue: Exceptions visible for review

The team can resolve the list in the release sprint

Make documentation readiness a checked release condition

Finding candidate pages is useful only when the flags are accurate and the resulting tasks are resolved. This scenario checks content against changes; it does not automatically rewrite the source.

Find affected statements

Follow changed features to their descriptions.
- Affected items found
- Time to impact list
Confirm the flags

Writers compare claims with approved behavior.
- False flags
Resolve before release

Update and approve the necessary documentation.
- Docs on release day
- Outdated-doc tickets

Business metric

Docs ready at release

Track releases with all required documentation changes approved and available at the release milestone.

What to measure and how to interpret it

Create a reviewed affected set for representative release changes. Include indirect mentions and unchanged topics with similar vocabulary to test both omissions and false flags.

Affected items found: Share of the reviewed affected set identified by the check.
Time to impact list: Elapsed time from complete release evidence to a verified impact list.
False flags: Candidate items reviewed and found not to require a change, with the reason retained.
Docs on release day: Share of required changed topics approved and available at the agreed release milestone.
Outdated-doc tickets: Post-release contacts attributable to statements that should have changed.

Check the business result

Report readiness at the release level and inspect late or missed topics. Compare writer effort and post-release correction work as secondary efficiency measures; changes in release size affect the comparison.

Schedule a call

Link a testable statement to the feature it describes

“Supports export” is difficult to compare with a release. An explicit column list tied to the feature and release gives reviewers a concrete claim to check.

Release 26.4 / Forecasting export

Release-impact record

Check export-column statements

Compare each source element describing export columns with the approved release 26.4 specification.

Change evidence: Reviewed export-column change
Feature: Forecasting export
Affected source: Reference and related task elements linked to the feature
Comparison: Current statement versus approved new column list
Disposition: Writer confirms update or records why no change is needed

Intelligent content

Write specific, testable behavior statements and give their elements stable identities.

Taxonomy

Share feature and release identifiers between change tickets and content.

Ontology and knowledge graph

Generate feature-to-topic and feature-to-element relationships from the source so an impact query can cross guide boundaries.

A practical starting point

Take one completed release and reconstruct the affected set manually. Compare relationship-based flags with what writers actually changed and what customers later reported.

Engineering establishes new behavior. Writers decide whether a flagged statement needs revision; work tracking assigns and closes the resulting tasks.

See how this scenario works