Overview
DreamJob is one of the largest employer review platforms in Russia, helping over 5 million users evaluate employers through reviews, salaries, and interview experiences. The platform serves two audiences: employees sharing workplace experiences, and employers managing reputation and employer branding.
Problem Space

As the platform grew, review submission, moderation, and employer-facing workflows became increasingly difficult to scale. Research revealed several critical issues:

●

43% of reviews failed to reach publication

●

Moderation generated significant support load

●

Users lacked visibility into review publishing status

●

Rejected reviews created frustration and repeat support requests

●

Employers had limited tools for managing reputation and monitoring feedback

As the platform grew, review submission, moderation, and employer-facing workflows became increasingly difficult to scale. Research revealed several critical issues:

●

43% of reviews failed to reach publication

●

Moderation generated significant support load

●

Users lacked visibility into review publishing status

●

Rejected reviews created frustration and repeat support requests

●

Employers had limited tools for managing reputation and monitoring feedback

This project focused on improving review quality, reducing operational friction, and creating more transparent review management experiences.
This project focused on improving review quality, reducing operational friction, and creating more transparent review management experiences.

Years

2021 - 2023

Location

Moscow, Russia

Industry

Employer Reviews & HR Tech

Role

Senior Product Designer

Ownership

User Research

Review Submission Funnel

Design Strategy,

Moderation Workflows

Product Design,

Design System

Employer Dashboard

Discovery & Key Insights

I analyzed support tickets, reviewed competitor platforms, conducted a UX audit, and mapped the customer journey from review submission to publication. The goal was to understand why users abandoned reviews, struggled with moderation, and had difficulty finding relevant employer information.

I analyzed support tickets, reviewed competitor platforms, conducted a UX audit, and mapped the customer journey from review submission to publication. The goal was to understand why users abandoned reviews, struggled with moderation, and had difficulty finding relevant employer information.

Research activities:

Support tickets · Competitor analysis (Glassdoor, AmbitionBox, Indeed) · UX audit · Customer journey mapping · Heuristic evaluation (UX audit) · Usability testing

  1. Review Submission Was the Largest Source of Drop-Off

The submission process felt lengthy and offered little transparency around moderation requirements.

The form lacked progress visibility, writing guidance, and clear feedback when reviews failed moderation, creating uncertainty and increasing abandonment.

  1. Review Submission Was the Largest Source of Drop-Off

The submission process felt lengthy and offered little transparency around moderation requirements.

The form lacked progress visibility, writing guidance, and clear feedback when reviews failed moderation, creating uncertainty and increasing abandonment.

  1. Users Had No Way to Manage Submitted Reviews

The MVP lacked user accounts, making it impossible to track review status, receive moderation updates, edit rejected reviews, or resubmit corrected content.

This increased support requests and reduced trust in the platform, as users had little visibility into what happened after submission.

  1. Users Had No Way to Manage Submitted Reviews

The MVP lacked user accounts, making it impossible to track review status, receive moderation updates, edit rejected reviews, or resubmit corrected content.

This increased support requests and reduced trust in the platform, as users had little visibility into what happened after submission.

  1. Review Discovery Was Limited by Search and Filtering

Competitor analysis and UX audit revealed that users struggled to find relevant reviews because search capabilities were too restrictive.

The platform did not support combining multiple criteria such as city, industry, position, and company size, making employer comparison unnecessarily difficult.

  1. Review Discovery Was Limited by Search and Filtering

Competitor analysis and UX audit revealed that users struggled to find relevant reviews because search capabilities were too restrictive.

The platform did not support combining multiple criteria such as city, industry, position, and company size, making employer comparison unnecessarily difficult.

  1. Inconsistent UI Patterns Increased Cognitive Load

The UX audit uncovered inconsistent patterns across forms, navigation, feedback states, and content presentation.

As the product evolved, the absence of a shared design system led to fragmented experiences, reduced usability, and increased implementation complexity.

  1. Inconsistent UI Patterns Increased Cognitive Load

The UX audit uncovered inconsistent patterns across forms, navigation, feedback states, and content presentation.

As the product evolved, the absence of a shared design system led to fragmented experiences, reduced usability, and increased implementation complexity.

Turning Insights into Solutions
Redesigning the Review Submission Funnel

multi-step flow

moderation guidance

progress tracking

autosave

+24% successful review completion

Creating Review Status Management

user accounts

status tracking

moderation feedback

edit/resubmit

-30% support volume related to moderation and publishing

Improving Review Discovery

AND/OR filters

preset & saved filters

recent searches

autocomplete

Reduced average task completion time by 16%

Building a Design System

reusable components

standardized patterns

design governance

implementation consistency

-60% UI inconsistency reports

Redesigning the Review Submission Funnel

multi-step flow

moderation guidance

progress tracking

autosave

+24% successful review completion

Creating Review Status Management

user accounts

status tracking

moderation feedback

edit/resubmit

-30% support volume related to moderation and publishing

Improving Review Discovery

AND/OR filters

preset & saved filters

recent searches

autocomplete

Reduced average task completion time by 16%

Building a Design System

reusable components

standardized patterns

design governance

implementation consistency

-60% UI inconsistency reports

Identifying Future Growth Opportunities
Interview Reviews

While redesigning review management workflows, I identified an opportunity to expand DreamJob's feedback ecosystem beyond workplace reviews.

Research showed that job seekers wanted transparency not only about company culture, but also about the hiring process itself. Employers, in turn, needed visibility into how candidates perceived their recruitment experience.

To address this gap, I designed and launched an Interview Reviews feature that enabled candidates to share structured feedback on interview difficulty, communication quality, hiring stages, and outcomes.

By extending feedback collection beyond employee reviews, the feature provided richer reputation insights for both job seekers and employers across the entire candidate journey.

Outcome

The redesign addressed key friction points across review submission, moderation, review discovery, and interface consistency.

The project resulted in higher review completion rates, lower support volume, faster task completion, improved platform consistency, and stronger employer-facing reputation management capabilities.

By combining user research, workflow optimization, and design system governance, we improved the quality and transparency of the review experience while reducing operational overhead for both users and internal teams.

Most importantly, the project demonstrated how thoughtful workflow design can improve both user experience and business outcomes in reputation-driven products, balancing the needs of contributors, reviewers, and employers within a complex feedback ecosystem.

Selected Works

Selected
Works

Case studies shaped around trust, decision clarity, and operational scale.

en2uition

AI-Powered Relationship Analytics

Couples Insights & Coaching

it2g

Reducing Operator Errors at Scale

Enterprise Workflows

Let’s make complexity feel clear.

I help product teams turn complex workflows
into sharper flows, stronger systems,
and calmer interfaces for better decisions.

Email Julia

LinkedIn

Download CV

© 2026 Julia Lu

Available for Product Design roles and collaborations

Let’s make complexity feel clear.

I help product teams turn complex workflows
into sharper flows, stronger systems, and calmer interfaces for better decisions.

Email Julia

LinkedIn

Download CV

© 2026 Julia Lu

Available for Product Design roles and collaborations