A mixed-methods UX research study and usability audit of ioMoVo, an AI-powered Digital Asset Management platform. We paired a heuristic evaluation with user interviews and think-aloud testing to map the friction between powerful engineering and confused users — then designed a way out.
ioMoVo is an AI-powered Digital Asset Management (DAM) platform built to help organizations consolidate, manage, and retrieve massive volumes of digital files across multiple connected cloud storage services. Its back end is genuinely powerful — but it was designed and engineered primarily by developers rather than UX designers, and it had grown into a case of severe feature creep: an abundance of complex features that compromised usability and intuitive navigation.
Acting as UX consultants, our team ran a rigorous mixed-methods study. We paired a baseline heuristic evaluation grounded in Jakob Nielsen's usability principles with qualitative user interviews and quantitative usability testing to map the critical friction points along the primary file-retrieval journey. This study unpacks our end-to-end process, empirical findings, and strategic recommendations.
The job of a DAM platform is to centralize files scattered across disparate machines and cloud drives, so teams can locate a specific asset quickly. ioMoVo's unique selling point leans on AI-powered natural language processing to search through petabytes of data.
Despite those back-end capabilities, users hit severe friction. The platform suffered a critical mismatch between its complex functionality and its users' mental models, which made basic operations feel unintuitive. To make sense of it, we framed the work around a single question:
How might we declutter, simplify, and make ioMoVo intuitive — shortening the learning curve between connecting drives, uploading data, and retrieving it quickly and easily?
Connecting external drives and uploading assets to create a single source of truth.
Leveraging traditional keyword algorithms, AI metadata tags, or hybrid search to locate files fast.
To build a redesign roadmap on evidence rather than opinion, we ran a structured, multi-phase research plan — moving from an objective usability baseline into live testing with real creative professionals, then synthesis.
Three UX researchers ran individual audits, then compiled overlapping issues to keep the baseline objective. The evaluation used Jakob Nielsen's 10 usability heuristics.
A strict screener filtered for creative professionals — video editors, design managers — who manage large volumes of assets daily. Six qualified participants took part, enough to surface roughly 85% of core usability issues.
Each ~60-minute session combined open-ended, non-leading interviews to probe mental models with think-aloud usability testing across five critical tasks on the live platform.
To keep the testing objective, we tracked five key performance indicators across every session:
| Key performance indicator | Definition |
|---|---|
| Task Success Rate | Percentage of participants who successfully completed each task. |
| Task Completion Time | Total time taken to navigate and execute a given workflow. |
| System Steps Taken | The total number of clicks and page transitions required. |
| Error & Loophole Rates | Non-standard pathways or mistakes made during task execution. |
| Emotional Response | Observable frustration, confusion, or satisfaction. |
Testing validated several of our initial hypotheses. The friction clustered around four areas: the home screen, the search architecture, file sharing, and a manual sync step nobody expected.
The most damaging issue broke users' mental models entirely. Most assumed uploaded files would automatically sync and index. Instead, ioMoVo required users to manually select and sync files before they could be searched — so a fresh upload returned zero results.
Testing on the live platform surfaced two usability gaps our heuristic audit hadn't caught — both born of inconsistency between screens.
Rather than reinvent the wheel, we anchored the redesign in standard patterns popularized by industry leaders like Google Drive and Dropbox — patterns users already understand. We reorganized the dashboard architecture around a high-fidelity homepage prototype built for immediate cognitive clarity.
A bold, clearly defined "Upload" button in the left sidebar, mirroring the highly recognizable Google Drive layout — available everywhere, not just on Home.
The main dashboard was simplified to four essential tasks: connect a drive, create a folder, record video, and capture screens.
The global search bar now carries explicit placeholder text — "Search through KEYWORD or RELEVANCE" — with a clear toggle switch built directly into the input to prevent errors.
We replaced the subtle notification-bell ring with a floating bottom toast that confirms a successful upload and offers an immediate "Locate File" shortcut.
The confusing double-link model became one modal with explicit permissions — Viewer, Commenter, or Editor — and a single copyable link, aligning with modern sharing flows.
Our research showed that ioMoVo's primary challenge was not a lack of technological capability, but a severe lack of design usability. Feature-rich products will still fail to retain users when those features are hidden behind complex, confusing workflows.
A powerful back end means nothing if users can't find the front door.
Run task-based tests on the new high-fidelity prototypes to confirm the proposed layouts actually reduce task times.
Conduct open card sorting with target users to rebuild the information architecture and rename ambiguous modules like ioFlow and ioHub.
Move the platform from manual syncing to a default background auto-sync model, aligning with modern cloud storage standards.