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Turning metadata gapsinto an accountableremediation workflow

Company
IKEA Digital Team
Year
2026
Type
B2B Product · Workflow Design
Role
AI Product Intern / Product Design

IKEA Content Space holds 17,200 marketing assets. A scan found only 26% of required metadata was filled — but the tool couldn't show who was responsible or let publishers fix tags in batch. I designed the management dashboard that closes that gap.

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6,000 metadata gaps found.
No tool to locate owners or fix them at scale.

IKEA Content Space holds 17,200 marketing assets used across global markets. Each needs 10 metadata tags to be searchable and compliant. Only 26% of tag slots were filled.

Phase 1 could surface gaps in minutes. But it stopped at a report — managers still had to track down owners manually, and publishers had to open files one by one to tag. No way to locate, assign, or batch-fix.

How might we let managers find responsible publishers and let them batch-repair metadata at scale?

Tag Coverage — Critical Fields

Usage Rights
0%
Channel
4.6%
Expiry Date
8.1%
Marketing Objective
12.4%
Launch Timing
23.1%

26% overall coverage across 123,257 tag slots. Assets without critical tags cannot be searched, filtered, or compliance-checked.

Asset Health Management Dashboard — Manager view showing tag coverage overview, publisher ranking, and remediation status

The Manager Dashboard I designed — tag coverage overview, publisher accountability ranking, and remediation tracking in one view.

From problem framing to working prototype, owned end-to-end.

Phase 1 solved "finding the problem": scanning assets for usage expiry and critical tag gaps. Phase 2 focused on "fixing the problem": turning tag health into a workflow that can be assigned, batch-repaired, reviewed, and audited. I owned Phase 2 product design end-to-end — from workflow definition and information architecture to requirements and prototyping.

Why visibility alone wasn't enough

The team already had a health dashboard — it scanned all 17,200 assets and surfaced which metadata fields were missing. Coverage rates, gap counts, trend lines. The visibility problem was solved. But knowing that gaps exist is different from knowing who should fix them.

Narrowing scope to the first usable remediation loop

The broader Phase 2 direction included tag statistics, tag quality scoring, AI-powered suggestions, batch remediation, audit logs, and automated reminders. Treating all of that as one release would have made the first version too large to evaluate clearly. Working with the business owner and technical stakeholders, we narrowed Phase 2 to the minimum viable remediation loop.

Prototype reviewed for product direction; engineering sizing pending

Phase 2 has a working frontend prototype demonstrating the proposed dual-role flow. It was used to align the remediation model, scope the MVP, and support review discussions with business and technical stakeholders. Final implementation scope and release timing still depend on engineering assessment.

From visibility to accountability

This project made one thing clear: the value of a B2B product isn't in showing more data — it's in making data trigger the next action. Real product design isn't about drawing the problem more clearly. It's about making the organization know who should do what, how, and when it's done.

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