Choose metadata around the questions people ask. Keep the initial model small enough that contributors can apply it consistently.
Start with retrieval questions
Ask employees how they look for information: by client, project, department, document type, or approval status. Translate the most common questions into a small set of fields.
For a contract library, a useful starting model might include Client, Contract type, Business owner, and Review date. Avoid collecting fields that nobody uses in a view, process, or decision.
Agree on shared meanings
Define each field in plain language and give examples. Decide whether Project means a project name, a unique identifier, or a business program; inconsistent definitions undermine cross-site reporting.
Use controlled values for categories that must stay consistent. Assign a steward to approve new terms and resolve duplicates before the list grows difficult to navigate.
Design for contributors
Put the most useful fields first and explain unfamiliar choices. Require a value only when the team can reliably provide it at the time of upload.
Pilot the model with existing documents and typical contributors. Watch where they hesitate, then simplify ambiguous terms before importing a large content set.
Keep the model healthy
Review unclassified items, unused categories, and repeated values. Set a regular cleanup cadence with the content owner rather than relying on a one-time migration exercise.
Keep organizational metadata separate from protection decisions. A Department column can help discovery; it does not itself enforce access or encrypt a document.
Further reading
Validate configuration choices against Microsoft’s current documentation and your tenant’s available licenses.
Microsoft: Use the Highlighted content web part ↗Microsoft: Sensitivity labels for SharePoint and OneDrive files ↗