Shiv Dinesh

Enabling image reuse verification for a multi-brand, multi-region media network

Summary

Condé Nast’s syndication tool lacked visibility into image reuse rights. I designed a rights-aware experience that surfaces data from an AI-powered rights engine↗ (opens in a new tab), giving adaptation editors a breakdown of image reuse rights.

Impact

CSAT up 13% points from 77% to 90% within 12 months.

Scope

  • Discovery user research
  • UX and UI design
  • UX writing
  • MVP scoping

Background

What is content syndication?

At global multi-brand media companies like Condé Nast, content syndication refers to the framework where regional editions adapt and republish licensed content from each other.

Why is it done?

  • Optimize resources and reduce overhead
  • Expand audience reach and engagement
  • Meet content volume commitments

Core jobs of an adaptation editor

①

Identify original stories that resonate with the destination

Goal: fulfill the destination edition's content strategy

②

Verify if the story’s assets can be reused by the destination

Goal: uphold legal compliance with regard to content reuse

③

Adapt, localize, and publish the story for the destination

Goal: align with the destination’s regional publishing requirements

Problem Statement

Stories typically comprise two core assets: manuscripts and images — two distinct IP with different licensing frameworks.

Condé Nast’s syndication tool creates a centralized index of all stories eligible for syndication across brands and regions, based on manuscript rights, but lacked a mechanism for surfacing the reuse status of a story’s accompanying images. Therefore adaptation editors relied on a lengthy, manual process to verify image reuse rights.

Discovery user research

Research scope & participants

Semi-structured discovery interviews with adaptation editors from 6 regional editions were conducted to:

  • Map the manual image verification process within the larger syndication workflow.
  • Understand where editors got stuck, and what they did about it.
  • Validate the need for a centralized solution for clearing a story’s images for reuse.

Escalation of image reuse verification

①

Self help — by cross-referencing image metadata across tools to assess credits and licensing.

②

Internal consultation — with editorial colleagues across regions via dedicated outreach channels.

③

Specialist consultation — to address complex requests like clearing embedded art or rights acquisition.

Post-verification decision paths

Decision chart: if all images are cleared, the editor proceeds with the story. If some images are not cleared or remain unresolved, the editor asks whether they are imperative to the story. If not, they are removed or replaced with alternative images or social media embeds and the story proceeds. If so, the editor asks whether acquiring reuse rights is viable: if yes, they pursue rights acquisition; if no, they abandon the story and move on to others.

Key Insights

Image reuse clearance directly impacts content strategy

Compliance aside, the mix of images cleared vs not cleared, along with their narrative weight directly impacted which stories editors would proceed with.

Editors risk missing out on high-potential stories

Editors often selected stories with licensed stock imagery for their faster verification process over ones with commissioned photos or press images.

The story preview modal was an under-utilized touchpoint

The modal was for pushing draft copies to the destination CMS, while image reuse verification and editorial evaluation happened outside the tool.

Legacy preview modal

Design decisions, tradeoffs and constraints

Scalable pattern that prioritizes structured evaluation over article recreation

  • Tabbed interface reclaims screen space to surface image reuse status, regional metadata and more — so that editors can make informed decisions.
  • The story header (title, description, author, thumbnail) stays atop as the identifier, so editors have no doubts about which story they’re reviewing.
Story preview with tabs for Body, Images, Published Syndications and Traffic Data, below a story header showing the title, description, authors and thumbnail

Images grouped by reuse status: Cleared; Not cleared; and Unverified.

  • The syndication tool queries the rights management system↗ (opens in a new tab) which returns the reuse status of every image for the selected destination.
  • Incremental data maturity necessitates an “Unverified” bucket requiring editors to continue resolving that set manually.
  • Compact thumbnail + credits for rapid visual audit.
Images tab with status chips for Not cleared for reuse (3), Unverified reuse rights (2) and Cleared for reuse (9), showing the not-cleared images as thumbnails with photo credits

A revised action panel cautions editors without getting in the way of their work.

  • Image reuse summary at the point of action, for users who bypass the images tab.
  • Draft creation remains enabled, allowing editors to retain full discretion to initiate drafts and subsequently replace images.
  • Single-click copy link CTA anchors everyone to a single source of truth.
Action panel noting that 3 images are not cleared and 2 have unverified reuse rights in the selected regional edition, above an enabled Create Draft button and Copy Story Text and Copy Syndication URL links

Revised syndication workflow

Structured evaluation of rights, syndication history, and reach, before drafting

Rights-aware design

1 of 3: Not cleared for reuse

System states

1 of 5: No destination selected

Outcome

The syndication tool's CSAT score rose 13 points from 77% to 90% in 12 months. Improvement was attributed to how the tool:

  • allowed editors to shift their focus back to editorial evaluation
  • enabled faster decisions with regard to story selection
  • reduced the pile-up of unused draft copies in the destination CMS

Looking ahead

Disclaimer: Product screens show placeholder articles, images, names and credits. Internal references are obfuscated.

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