WORK/DOCUMENT SEARCH
UX RESEARCH

Document Search - SuperDoc

A concept for storing, finding and sending personal documents in one place - the files that arrive through messengers, email and three clouds at once, and are needed most when you're already under pressure.

Product Design · UX Research · IAROLE
Solo, end-to-end conceptTEAM
Survey, interviews, card sorting, 1:1 testsMETHODS
Figma, Miro, Google FormsTOOLS
SuperDoc folders view on a laptop
FOLDERS + FILE TABLE - FINAL UI
THE IDEA

Every source in, one structure out

Documents arrive from folders, messengers, mailboxes and clouds. SuperDoc pulls them into one place and files them into categories people already use - work, personal, insurance, medical, bills, household, ID.

Sources feeding into SuperDoc and out into categories
PROBLEM

Documents arrive from everywhere and live nowhere

Files reach people through messengers, email and cloud services, then settle wherever they landed. Nothing is misplaced on purpose - there is simply no single place where a document belongs. The cost shows up at the worst moment: filing taxes, answering a legal request, renewing a rental agreement.

Physical binders
THE ANALOGUE SYSTEM IT REPLACES
Downloads folder with 698 mixed files
THE DIGITAL ONE - A 698-FILE DOWNLOADS FOLDER
RESEARCH

16 survey responses, 3 interviews, 2 competitor categories

The survey covered employees, freelancers, unemployed participants and retirees - most of them handle documents several times a week. Interviews with three of them showed where the breakdowns actually happen.

75%
regularly search for digital documents - nearly all hit difficulties
62%
struggle because files sit on different platforms
50%
don't remember where they saved the document they need
85%
store documents across email, cloud, messengers and local folders at once
“

I clearly remember someone sent me a file on WhatsApp, but then I couldn't find it anywhere - it just got lost in the flow.

INTERVIEW · PARTICIPANT 01
“

I urgently needed my rental agreement, but couldn't recall if it was in my email or among scanned files on my computer.

INTERVIEW · PARTICIPANT 02
“

I just want to organize everything - right now it's a mess, and that really frustrates me.

INTERVIEW · PARTICIPANT 03

Plenty of services store documents well. None of them solved the pair that mattered here: effortless organisation together with search that is genuinely fast and intuitive.

Competitor analysis across cloud storage and invoice management tools
COMPETITOR AUDIT - CLOUD STORAGE VS. INVOICE MANAGEMENT
PROCESS

From requirements to a structure people already think in

I sorted requirements into Critical, Important and Nice-to-have, then ran a CRUD and object-oriented pass with the document as the key entity. That second pass surfaced what nobody asked for out loud - printing, export, access control - but which any real document workflow needs.

Requirements prioritised as critical, important and nice to have
REQUIREMENTS BY PRIORITY

Information architecture

Card sorting with friends, colleagues and classmates settled the top level: Documents, Tray, Integrations, Search & AI Assistant, Settings & Notifications.

ROOTHome
01
Integrations
Google Docs
OneDrive
Dropbox
WhatsApp
Telegram
Computer
02
Contacts
Import
Contact page
03
Collections
04
Tray
05
Documents
Personal
Travel
Work
Medical
Document view
06
Notifications
Shared with you
Signature requests
Upcoming expiry
07
Search
08
AI Assistant
09
Settings
Storage
Profile settings
Permissions
Storage plan
Passwords
Security
Share settings
10
Help center
SITEMAP

User flow - three ways to reach one document

Manual navigation, text search and the AI assistant all converge on the same two endings: add to tray, or save to device. Interviews showed people were already improvising the first one by hand - collecting files in Downloads before attaching them to an email.

User flow for search, manual navigation and AI assistant
USER FLOW

Low-fidelity wireframes and 1:1 testing

Three layouts for the same workspace: panels with the AI helper docked at the bottom, a top-nav variant, and a toolbar variant with collapsible right-hand panels. Most participants read the navigation immediately; the AI assistant was the one thing they misread, so it moved out of the panel stack and became a persistent entry point.

Low-fidelity wireframe with panels and AI helper
LO-FI V1 - DOCKED AI HELPER
Low-fidelity wireframe with top navigation
LO-FI V2 - TOP NAVIGATION
Low-fidelity wireframe with toolbar and collapsible panels
LO-FI V3 - TOOLBAR + COLLAPSIBLE PANELS

Mid-fidelity

An intermediate pass to settle density and hierarchy before visual design, built alongside the first pieces of the design system - palette, type, buttons, inputs and tables.

Mid-fidelity folders screen with preview panel
MID-FI - FOLDERS, FILE LIST, PREVIEW
SOLUTION

Find it three ways, collect it in the Tray, send it once

The MVP holds the one thing everything else depends on: storage and search. Folders and a file table for browsing, a text search with filters for a known name, and an AI assistant for “everything income-related for my tax return.” Whatever the route, files land in the Tray - a temporary space that collects documents without moving them, then shares, sends or clears the whole set at once.

01Folders - browse and file
Folders and file table
02Preview - select and put to Tray
Document preview with a file added to the tray
03Search - filters and preview
Search results with filters and preview
04AI assistant - grouped results, gaps flagged
AI assistant returning grouped documents
05Bulk selection - send, open, share, print from one bar
Bulk selection in search results with tray actions
OUTCOME

Outcome and learnings

3
search routes converging on one set of actions
2
rounds of 1:1 testing, layout reworked between them
0
files duplicated to collect a set - the Tray references, it doesn't copy

The strongest feature came from watching a workaround rather than reading a request: nobody asked for a Tray, but everybody was building one by hand in their Downloads folder. Testing also taught me that an AI entry point has to explain itself in the layout - the first version was understood as a chat and ignored.

Next: extend the design system, support multi-user scenarios, connect real integrations (Google Drive, email), and make the AI results more explainable.

© 2026 Sergey Kalinin. All rights reserved.