Skip to scenario
Back to the business caseUpdate propagation ยท Implementation

Propagate the change beyond direct reuse

The workflow keeps one feature identity while changing its displayed name in the applicable release. Output checks establish whether the change reached users.

Follow the process
Business goal
Increase efficiency
Business metric
Content cost

From approved rename to verified answers

Use an approved release record, version-aware term definitions, dependency records, and an expected output list. Preserve historical release scope.

The task in this example

Roll out the Demand planning name in release 26.4 everywhere customers will see it.

  1. Step 1

    Confirm the rename

    Product approves the name and effective release.

    Product or customer data

    The release plan establishes Demand planning from 26.4; earlier versions remain separately scoped.

  2. Step 2

    Update the term record

    Change the preferred name and retain the alias.

    Taxonomy

    A stable feature ID connects old and new wording without pretending the feature was removed.

  3. Step 3

    Find dependent artifacts

    Query beyond direct text references.

    Ontology and knowledge graph

    Include screenshots, translations, training, and assistant indexes with their owners.

  4. Step 4

    Rebuild and review

    Republish outputs and refresh indexes.

    System

    Pipelines expose build and index versions.

    People

    Owners update artifacts such as screenshots that cannot be repaired by a text rebuild.

  5. Step 5

    Test the rollout

    Ask questions using both names and inspect outputs.

    Content team

    Maintain expected answers and record which artifact or index version passed the checks.

This framework provides a practical baseline shaped by experience. Every organization operates under distinct technical and operational realities that require tailored design and governance. While you can adapt these measures independently, we frequently partner with teams to customize governance, integrations, and rollout. Performance outcomes will naturally vary.

Why these content layers matter

Intelligent content

Use shared term references and maintained question/answer checks rather than independent copies.

Taxonomy

Define the current preferred name, effective scope, and legacy synonyms against one stable feature identity.

Ontology and knowledge graph

Track artifacts and outputs that depend on the feature or term even when direct text reuse does not reach them.

Verify the result and handle exceptions

Inspect current topics, translated UI references, screenshots, training, and assistant answers. Test old-name questions and earlier-release guidance separately.

A failed rebuild or unreviewed asset keeps the rollout incomplete. Record intentional old-name occurrences so cleanup does not remove historical accuracy or search aliases.

How we work
with your team

We can guide your team, work alongside it, or deliver the work for you. Combine these approaches as your needs and capacity change.

Lead

Build capability

We guide your people through the work, building capability that stays with your team.

Support

Add specialist backup

Your team owns the work. We provide experienced backup and specialist help where you need it.

Do

Delegate delivery

We handle work that is one-time, specialized, or outside your core business, without adding an ongoing burden to your team.

Where does your last product change still need to arrive?

Intuitive Stack can help model terminology and output dependencies, then define a propagation check with your publishing, localization, and search owners.