Short answer
DAM functional requirements describe what the system must do for users: ingest, describe, search, review, approve, share and deliver assets. Each requirement works best as a testable statement with a named user, an action and a measurable condition, such as finding an approved product image within three filters, so a vendor can prove or fail it in a scripted demo.
What functional requirements are
DAM functional requirements are statements that define the tasks a DAM must let each user group complete, with a condition that shows the task succeeded.
Functional requirements sit in Checkpoint 2 of the Selection Route, next to the security and platform requirements. The functional lines describe user tasks. The security requirements describe qualities of the platform, such as hosting, identity and certification.
The PIMvendors method derives functional requirements from validated needs. Teams run workshops per user group, write the needs as user stories and confirm them with the people who raised them. The functional requirement then adds the measurable condition a vendor must meet.
DAMSelection assessment: vague requirements such as "good search" or "easy sharing" let every vendor claim full support. A measurable requirement lets one vendor pass and another fail.
Write testable statements
A testable DAM functional requirement names one user, one action, one object and one measurable condition.
Use this pattern: a named user does an action on an object, under a condition, measured by a result. The table shows the rewrite from vague to testable for common lines.
| Vague requirement | Testable requirement |
|---|---|
| Good search | A regional marketer finds an approved product image by SKU, colour and channel within three filters |
| Easy upload | A photographer uploads 200 images in one batch and applies shared metadata in one step |
| Rights management | An asset with an expired licence becomes unavailable for download in the portal and in share links on the expiry date |
| PIM integration | The DAM links each product image to its SKU from a PIM export and updates the link when the PIM record changes |
| AI tagging | AI tags use only values from the controlled vocabulary and show a confidence score per tag |
| Video review | A reviewer adds time-coded comments on a video, and the editor sees them against version 2 |
| Brand portal | An administrator creates a portal for one agency showing only approved assets of one brand, within 30 minutes |
| Flexible metadata | The buyer's administrator adds a mandatory picklist field to one asset type without vendor services |
Check each statement against five rules before it enters the list:
- One capability per statement. Split lines that contain "and" between two capabilities.
- A named user group, taken from the stakeholder map.
- A measurable condition: a count, a time, a number of steps or a visible result.
- Testable within about 25 minutes of demo time, the time budget DAMSelection uses per scenario.
- Vendor-neutral words. Avoid product names and module names.
Choose the right measure
Each DAM functional requirement needs one of six measure types, and the measure type decides how the scoring panel checks it.
| Measure type | Example | How the panel checks it |
|---|---|---|
| Time | Portal set up within 30 minutes | Stopwatch during the demo |
| Count | 200 images linked to SKUs in one run | Count of correct links in the result |
| Steps or filters | Correct asset within three filters | Panel counts clicks and filters |
| Visible result | Download blocked after expiry | Panel tries the download |
| Quality rate | Share of AI tags accepted without correction | Panel reviews a sample of 50 tags |
| Independence | Done by the buyer's administrator without vendor services | Buyer's administrator performs the step |
Set the threshold from today's baseline where one exists. If a librarian takes ten minutes to find an approved image today, a target of two minutes is meaningful. Thresholds pulled from the air invite argument during scoring.
Independence measures matter most for administration lines. A vendor that needs services for every new field adds cost and delay for the whole contract.
The functional domains
DAM functional requirements fall into eight task areas, and each area maps to domains of DAMSelection requirements checklist.
| Task area | What users need | Example measure |
|---|---|---|
| Ingest | Upload in bulk, from folders, cloud storage and API | 200 images in one batch with shared metadata |
| Describe | Apply metadata, vocabularies, mandatory fields, AI tags | Mandatory fields enforced at upload |
| Search | Find by facets, text, natural language and reference image | Correct asset within three filters |
| Review and approve | Annotate, compare versions, route approvals | Full audit trail visible after approval |
| Govern rights | Record rights, expire assets, link releases | Download blocked on the expiry date |
| Share | Portals, share links, download presets | Agency sees only permitted assets |
| Deliver | Renditions, CDN delivery, connectors, API | Marketplace renditions meet size rules |
| Administer | Configure fields, permissions, reports | Changes made by the buyer's administrator |
The describe area decides the rest. DAMSelection assessment: the metadata model decides DAM success, so write describe requirements from a draft metadata schema before the first demo.
Cover every user group
DAM functional requirements must cover every user group on the stakeholder map, because each group judges the DAM by different tasks.
| User group | Typical functional requirements | Scenario that tests them |
|---|---|---|
| Creators and photographers | Bulk upload, versioning, check-in and check-out, metadata inheritance | Onboard a product shoot |
| Approvers in brand, legal and regulatory | Annotation, version compare, multi-step approval, sign-off records | Run a campaign approval |
| Central marketers | Collections, saved searches, campaign metadata, usage analytics | Find the right asset fast |
| Regional marketers | Local language metadata, localisation templates, region filters | Localise an approved design |
| External partners | Portals, share links, download presets, usage terms at download | Set up an agency portal |
| Administrators and librarians | Schema configuration, vocabularies, permissions, completeness reports | Configure our metadata schema |
| Developers and integration teams | API coverage, webhooks, renditions on request, rate limits | Pull assets through the API |
DAMSelection rule of thumb: run one workshop per user group, 90 minutes each. A group without a workshop usually surfaces its requirements after signature.
Requirements teams often miss
DAM functional requirement lists commonly miss eight capabilities that matter after go-live, according to PIMvendors selection practice.
- Alt text per language, with AI drafting and human review. The accessibility and alt text guide covers the details.
- A field that marks AI-generated or AI-edited assets, set at upload.
- Preservation of embedded XMP and IPTC metadata and of C2PA content credentials through renditions. The content credentials guide explains why.
- Search analytics, including zero-result queries.
- Metadata completeness reporting per brand and asset type.
- Bulk rights updates when a licence changes.
- Export of assets with full metadata, relationships and rights in an open format.
- Configuration of fields, vocabularies and permissions by the buyer's own administrator.
Export and administration lines protect the buyer for the life of the contract. Add them even when no workshop raises them.
Link to scenarios
Each DAM functional requirement carries the ID of the scenario that tests it, so the scoring panel knows where each line gets proven.
DAMSelection assessment: generic demos carry no selection value. Vendors demonstrate the buyer's scenarios on the buyer's assets, and the functional requirements supply the pass criteria.
- Group related must-haves into scenarios that follow one real task from start to finish.
- Turn each measurable condition into a pass criterion for that scenario.
- Build a coverage matrix with requirements as rows and scenarios as columns.
- Add a scenario or a proof of concept test for every must-have without a mark.
- Send the scenarios, sample assets and pass criteria to vendors two weeks before the demo.
The demo script guide explains the anatomy of a scenario. The Demo Script Generator turns selected scenarios into one script with steps and pass criteria.
Functional requirements template
A DAM functional requirements list needs nine columns, so each line traces back to a user and forward to evidence.
| Column | Content |
|---|---|
| ID | Checklist ID or a new ID per domain |
| User group | From the stakeholder map |
| Requirement | Testable statement |
| Measure | Count, time, steps or visible result |
| Priority | Must, should, could or won't |
| Source | User story ID and workshop date |
| Scenario | Scenario ID that tests it |
| Evidence | Demo timestamp, proof of concept result or document |
| Vendor result | Pass, partial or fail per vendor |
Worked example: three filled lines for a consumer goods company.
| ID | User group | Requirement | Priority | Scenario |
|---|---|---|---|---|
| W02 | Regulatory reviewer | A reviewer annotates packaging artwork version 1 and compares it with version 2 side by side | Must | Approve packaging artwork |
| M12 | Librarian | AI tags on 500 sample assets use only vocabulary values and show confidence scores | Should | Auto-tag our own assets |
| D10 | PIM owner | The DAM links 200 product images to SKUs from the PIM export without manual matching | Must | Onboard a product shoot |
Frequently asked
What are functional requirements for a DAM system?
Functional requirements for a DAM system define the tasks each user group must complete: ingest, describe, search, review, approve, govern rights, share and deliver assets. Each requirement names a user, an action and a measurable condition, so vendors can prove it in a scripted demo or fail it.
What is the difference between functional and non-functional DAM requirements?
Functional DAM requirements describe user tasks, such as finding an approved image or expiring a licence. Non-functional requirements describe platform qualities, such as hosting region, availability, security certification and performance. Both belong in the requirements list, and both need a named form of evidence.
How many functional requirements does a DAM selection need?
A typical DAM selection uses 60 to 120 functional lines after the cross-check against the checklist, as a DAMSelection rule of thumb. The number matters less than the measures and priorities. Group the must-haves into 8 to 12 scenarios for the demos.
How do you test DAM functional requirements?
Test DAM functional requirements in scripted demos on your own sample assets, with pass criteria taken from each requirement's measurable condition. Test adoption and integration lines in a proof of concept with real users. Record the evidence for each line in the scoring matrix.
Should AI features be functional requirements?
AI features belong in the functional requirements when they serve a user task, such as tagging against the controlled vocabulary or drafting alt text. Write the measure: precision on your own assets, correction effort and the AI credit cost per thousand assets.