Work / BynderCase 07 of 09
Bynder · Product evaluation

Bynder product evaluation

Evaluating a complex product experience through structured expert review.

Role
UX research · Product evaluation
Product
Product evaluation
Outcome
Prioritised usability opportunities
Bynder digital asset management evaluation and redesign

Identifying Opportunities in a Digital Asset Management Experience

Project type: Independent product critique
Focus: Discovery, trial experience, accessibility, navigation, and asset-management workflows
Methods: Market research, competitive analysis, experience review, journey mapping, and concept design

Bynder digital asset management evaluation and redesign

The Context

Bynder helps organizations manage, distribute, and govern digital assets. The category addresses costly operational problems: teams lose files, recreate existing work, use outdated brand material, and struggle to coordinate content across scattered storage systems.

I used this independent project to examine how Bynder could communicate its value more clearly and reduce friction from initial discovery through everyday asset management.

Overview of Bynder and the digital asset management workflow

Signals Worth Investigating

Industry research showed the scale of the underlying problem: more than half of marketing teams used fragmented storage systems, while thousands of files could be lost or left unorganized across company tools.

Public traffic estimates from December 2021 also indicated potential discovery and conversion friction on Bynder’s site: 113,100 visits, a 69% bounce rate, 1.8 pages per visit, and an average visit duration of 1 minute 26 seconds. These figures cannot explain causation, but they provided useful signals for areas to inspect.

Digital asset management market evidence and user problems

Experience Review

I evaluated the path from the marketing site into the product and identified four opportunity areas.

Let prospects experience value earlier

A demo-first journey can feel like a sales barrier. A more useful product preview or guided trial could build understanding and trust before requiring a conversation.

Reduce navigation overload

The marketing-site menu presented too much information at once. A clearer structure could help visitors understand the offer and find content without processing a large, undifferentiated set of choices.

In the dashboard, open filter controls competed with search results. Collapsing filters after application would preserve context while giving assets more space.

Improve control and accessibility

Promotional elements needed a clear dismissal action, trial-to-paid messaging needed more transparency, and key calls to action required stronger contrast. These are small interaction details, but together they shape trust and perceived quality.

Design Response

I began with mid-fidelity wireframes to evaluate structure and interaction without visual styling. The concepts focused on:

  • A simpler, more readable navigation model.
  • A guided introduction that helps trial users complete meaningful first tasks.
  • Less intrusive assistance and promotional messaging.
  • Better filter behavior in the asset library.
  • Clearer plan and upgrade information.
  • More accessible contrast and interaction states.

I then developed high-fidelity concepts to show how these changes could fit Bynder’s visual identity.

What This Project Demonstrates

This was an independent evaluation, not commissioned work, and the concepts were not tested with Bynder customers or measured in production. Its value lies in the diagnostic process: connecting category research, observable product behavior, usability principles, and business signals into specific hypotheses a team could validate.

The next step would be to test the marketing navigation, guided trial, filter behavior, and upgrade journey with target users. I would measure comprehension, time to first asset task, search success, trial activation, demo requests, and paid conversion.

Reflection

Strong product critique distinguishes evidence from inference. Analytics can indicate where to look, but only research can explain why behavior occurs. This project helped me practice turning public signals into testable questions rather than presenting assumptions as facts.