What user-focused keywording actually means
In digital asset management (DAM), it's tempting to define metadata and keywords from a system or IT point of view: technically precise, consistent with internal naming, easy to maintain. But that's often exactly the problem. If you tag assets the way you'd name them yourself, you often don't tag them the way other people will later search for them.
User-focused keywording flips that question around: everyday language instead of internal terms; use cases instead of product codes; concrete content instead of abstract categories. A real-world example: internally, an image might be filed as "AGV_X200_Module_A." Someone searching for it in marketing or sales, though, is more likely to type "automated guided vehicle," "warehouse automation," or "indoor AGV" into the search box. The search only finds the right image if those terms are actually stored as keywords.
The field level: a user-centered metadata strategy
Beneath the actual keywording sits a second, structural layer: the metadata fields themselves. These, too, can be designed consistently from the user's point of view rather than the system's: with fields that reflect how people in the company actually search and work:
| Field | Typical example |
|---|---|
| Application area | Intralogistics, production, marketing |
| Target audience | Logistics management, engineering, sales |
| Content type | Case study, product image, video |
| Value proposition | Efficiency gains, cost reduction |
| Language, region, campaign | DE/EN, DACH, Q3 product launch |
In Agravity GlobalDAM, fields like these can be freely defined, including dropdown lists and multilingual values: shared values inherit down through collections, so a field structure you've thought through once doesn't need to be re-entered on every single asset.
Why so many DAM systems fail at exactly this
DAM rollouts rarely fail because of the technology: they fail because of the structure. Three patterns keep repeating: users can't find content and fall back on old habits (local folders, asking colleagues); metadata is too complex and therefore doesn't get maintained properly; terms are shaped by internal jargon that nobody actually searches with. Every one of these patterns leads to the same result: the system gets ignored, and the investment doesn't pay off.
A consistently user-focused strategy addresses exactly this: with higher adoption across the company, noticeably better search results, and shorter paths from idea to finished asset.
Practical tip: how to set it up cleanly
If you want to introduce a user-centered keywording and metadata strategy, don't start at the drawing board: start with actual search habits. What terms do marketing, sales, or partners already use today, say on your own website or in the CRM? A short conversation with these user groups usually shows quickly where internal and external language diverge.
These findings produce a clearly bounded keyword set instead of a sprawling vocabulary that grew historically and got out of hand. To make sure that set actually gets followed, it's best to work with mandatory fields and controlled dropdown lists instead of free text: that keeps the structure consistent over time, no matter who's entering an asset. AI-powered suggestions for descriptions and keywords can speed this process up further, especially for large libraries: editorial control over what actually gets accepted stays with your own team.
For more on the fundamentals of why keywording is the real success factor for any DAM, see the article Keywording in Digital Asset Management.