Asset Flow

A Designer focused Digital Asset Management app

Client

Personal Project

My Role

UX Researcher and Designer

Duration

4 Weeks

Focus

Case study for researching Digital Asset Management (DAM) softwares

Tools

Figma , Notion , Google Forms

Overview

Asset Flow is a Digital Asset Management application (henceforth called as DAM) that helps designers and product managers streamline design workflows from a single source of truth for design assets.

The Struggle

Every designer has faced it
- dozens of file versions
- duplication and loss of files across folders , emails , and chat threads.
- “Final.psd” becomes “final_final_v2_latest.psd,” and nobody knows which one is approved.

What starts as a creative process ends up in a confusion.

The Idea

While researching how creative teams handle their design assets, I discovered a consistent frustration - existing asset management tools were built for marketers and IT teams, not for designers

Designers needed a system that spoke their language:
- drag-and-drop simplicity
- visual clarity and
- automation that quietly handled naming, versioning, and compression without endless menus or jargon.

The Mission

The Gap inspired me to build a DAM experience that intelligently detects duplicates, versions files automatically, compress assets , and connects directly to design and storage tools helping teams stay focused on creating, not organizing.

Research

Objective

Identify opportunity to optimize and reduce manual workload of designers in managing their digital design files

  • What are the current pain points designers experience ?

  • How much time to they spend in finding the files ?

  • Establish UX benchmark

Method 1 : Survey

Why did I choose this methodology ?

  1. Prioritize pain points : Survey provides a comprehensive way of identifying and prioritizing of pain points

  2. Validate using statistics : Gather sufficient data for establishing a benchmark & validate the design against it

  3. Timely insights : This method is efficient way of gathering quantitative data in short time-frame

Read more about the Survey

Method 2 : Social Listening

Why did I choose this methodology ?

  1. Designers share their unfiltered experiences on social platforms - frustrations with designing tools , lost work etc

  2. Social listening allowed me to capture these pain points which was essential for a remote friendly research setup

Read more about Social Listening

Insights

Survey Results

Result 1 : Time Spent in searching design files

Average time spend by a designer ~5 minutes/per file

If a designer used 5 files a day and it takes ~5 minutes per file → 25 min/day

At ₹120/hr for 8 hours a month - Cost incurred for 1 designer is ₹960/month. A team of 10 designers would incur - ₹10,000 a month or 1,20,000 a year

These numbers may look small, but even a few minutes of lost time each day scale into hours of wasted effort per designer per month -a hidden cost companies rarely calculate

Result 2 : Challenges faced by designers

The most common frustrations are around :
- Version control
- Duplication
- Poor naming conventions

Secondary but notable issues are :
- Lack of sharing options
- Time consuming
- Lack of tagging system
- File size maintenance

Social Listening Results

To go beyond statistics, I analysed public conversations across platforms like Reddit

Common patterns emerged:

  • Version chaos: Multiple variants of the same file stored across drives and cloud folders.

  • Duplication: Slightly renamed or modified assets being uploaded multiple times.

  • Poor naming conventions: No standardized file naming rules, leading to endless confusion during handoffs.

This qualitative input confirmed what the survey revealed - designers were struggling with organization overhead.

Competitor Analysis

Features
Dash DAM
LingoApp DAM
AssetFlow

Upload - Batch Upload

Search

Retrieve/Download

Delete

Recover from deletion

Compress

Naming convention

Versioning

Duplication management

Sharing

Tagging

User Management

Final Insights

Survey Insights
Social Listening Insights
Competitor Analysis (LingoApp) Insights
Competitor Analysis (Dash DAM) Insights
Gartners list of Mandatory Features for a software to be considered a DAM

1) Average time spend by a designer ~5 minutes/per file

1) Version chaos

-No standard naming convention
-No versioning
- Duplicate files are allowed

-No versioning
-No standard naming convention
- Duplicate files are allowed

1) Organization of Storage :
-Searchable Repository
-Metadata Tagging
-Taxonomy Management

2) Common Frustrations :
- Version control
- Duplication
- Poor naming conventions

2) Duplication

- no option to compress files
- cannot rename files

- no option to compress files

2) Asset Ingestion and Creation :
- Support Authorization of Users
- 3rd Party Integrations

3) Secondary Frustrations :
- Lack of sharing options
- Time consuming
- Lack of tagging system
- File size maintenance

3) Poor naming conventions



3) Distribution and Integration :
- Access Controls
- Pre-built connectors , APIs and other integration mechanism

Problem Statement

Designers spend a lot of time organizing which they can instead use in creating. A solution is needed that reduces cognitive load by automatically handling :

  • File Discovery

  • Versioning

  • Naming

  • Duplication

  • Tagging

  • File Size

The Process

To handle various tasks, we need to define the task flow that manages design files from the upload stage. To become the single source of truth, the system should run the following rules:

  1. Is the file a duplicate?

  2. Can the file be considered as a new version?

  3. Is the file named according to naming conventions?

These rules will help establish the true authenticity of a file and maintain its validity throughout the system.

How I defined the task flow ?

Read more about the task flow

Visualizing Task Flow

Primary Task : Upload Files

Primary Task : Search Files , Secondary Tasks : Download , Share , Lock , Archive , Delete and Restore

3rd Party Integrations with DAM

Rough sketches and Ideas for the UI

Wireframing

Final Design Mockups

Introducing Asset Flow

Supports Multiple creative tools

Designer can drag and drop multiple files or browse and upload entire folders, depending on their needs.

But that's just the beginning. AssetFlow lets designers directly connect and synchronize their design assets from Adobe's Creative Cloud , Microsoft 365 , Dropbox , Drive , Figma

Simple & Efficient Asset Management

Once the files are uploaded, the system automatically analyses them and runs rigorous checks for duplication, versioning, and naming conventions, then assigns tags.
The system highlights files with issues—such as duplicates or versioning conflicts—and suggests recommended names based on naming convention rules.

Personalised Dashboard for all Client Projects

AssetFlow’s Real Time Dashboard keeps track of your Client Project activities keeping all designers in your team on the same page

Unlock insights: Customize reports to optimize asset usage

Monitor asset usage and status in real time with fully configurable and customizable reports

Impact

Since this is a conceptual case study the following impact is estimated using the findings of my own research results.

Research Findings
Impact
Context of Impact

Survey : 11 Survey respondents (46%) highlighted problems with duplication of files

Social Listening : File duplication is causing versioning issues

Asset Reuse and Duplication Reduction

Easy search and retrieval of assets via:
Tagging and Standard Naming convention

helps in : Asset Reuse and reduce reupload of files - ultimately reducing File duplication

Survey : 13 respondents (54%) highlighted problems with multiple versioning of the files

Automating Version management

Simple yet meticulous versioning reduce time in juggling with multiple versions of files , allowing designers for quicker handoffs and designers spend less time organizing and more time creating

Survey : 10 respondents (42%) highlighted confusion and difficulties with poor naming conventions

Reduction in renaming - Quicker sharing /handoffs , less cognitive load

Configurable Naming convention allows teams to create and follow customised standard naming convention rules unique to their own team or clients - helping efficiently search and retrieval of files , quick sharing for handoffs and reviews by saving manual renaming of files.

Survey : 4 respondents (17%) spent more than 10 minutes searching for a single design file

9 respondents (38%) spent 5-10 minutes searching for a single design file

4 respondents (17%) said lack of tagging features makes it harder to search for design files

Reduction in File Search and Retrieval delay

Enhanced tagging features and custom tagging rules allows user to easily search and retrieve files - enabling more time creating , less time searching.

Survey : 1 respondent (4%) said file size and constant compression is an issue.

File Size maintenance

In built compression mechanism provides easy to setup compression presets , allowing designers to either select the available presets or simply go with default choice.

Survey : 5 respondents (21%) highlighted the lack of in-built sharing

In built sharing

In built sharing allows custom access (read, write , edit) to selected recipients (restricted by emails ) and option to limit link access time (set link expiry)

What I learnt

  • There are multiple ways to approach one problem. Initially I did not consider outside of traditional UX research methods but I looked into more newer methods like Social Listening which I used to focus on Designer’s problems and turned them into proxy user quotes.

  • Often times I had to gather quick ideas regarding how cloud storage and other DAMs incorporate certain features in their solutions , for which I took help of A.I. But I noted A.I. often hallucinates and provides mixed results. Its best to triple check your findings.

  • There are always more features which one can add into their solution to stand out however I realized while doing so my solution was detouring from the problem statement.

Next Steps

Integrating Vertex AI powered deep search

DAMs are getting more demand in industries. With A.I. being incorporated in most enterprise solutions , DAMs are not being left behind. My next step would be to implement Vertex AI powered search for integrating deep information retrieval , natural language processing to understand user intent and return most relevant results and enhance the tagging feature to make use of AI for more robust tagging mechanism.

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