Job Search App

Role

Product Designer

Year

2025-2026

Client

NDA

Platform

iOS, Android

Overview

Wolle is an MVP app for a Russian client that helps young professionals find jobs aligned with their goals, values, and lifestyle. As Product Designer, I conducted user research, created personas, mapped user journeys, and developed wireframes, prototypes, and tests. The result is a clear, user-friendly interface that transforms job hunting into a personalized, motivating experience — distinguishing Wolle from generic job boards through transparency and human-centered design.

Project Goals

Project Goals

Design and launch an MVP mobile app by March 2026

Build a base of 30K engaged users within six months of launch

Achieve 200K monthly active users (MAU) by May 2026

Ensure intuitive usability and high completion rates for profile creation and job applications

Design and launch an MVP mobile app by March 2026

Achieve 200K monthly active users (MAU) by May 2026

Build a base of 30K engaged users within six months of launch

Ensure intuitive usability and high completion rates for profile creation and job applications

Problem & Solution

Problem

Traditional job platforms overwhelm users with irrelevant listings, unclear communication with employers, and low trust. The market is dominated by HeadHunter, SuperJob, and Rabota.ru — yet user dissatisfaction remains high due to data security issues, fake postings, and poor post-application communication. Young professionals felt invisible: resumes sent with no feedback, and platforms built to serve companies rather than job seekers.

Solution

Wolle was designed as a human-centered platform focused on clarity, transparency, and motivation. The solution combines personalized job recommendations, guided resume creation, and direct in-app communication with recruiters. Smart matching algorithms, verified company profiles, and real-time progress tracking transform job hunting from a confusing, discouraging experience into a clear, empowering journey. Every design decision reduces user effort, provides instant feedback, and builds trust.

Key Metrics

80%

User satisfaction rate

45%

Onboarding simplified

94%

Task success rate

15

Usability test participants

User Insights

User Insights

1

"I send out resumes and never hear back — I don't even know if anyone reads them."

3

52% of users find jobs through digital platforms, growing 10% YoY

2

"Most services feel like they're built for companies, not job seekers."

4

Messenger-based recruitment is growing 3% yearly, especially among IT and creative professionals

1

"I send out resumes and never hear back — I don't even know if anyone reads them."

2

"Most services feel like they're built for companies, not job seekers."

3

52% of users find jobs through digital platforms, growing 10% YoY

4

Messenger-based recruitment is growing 3% yearly, especially among IT and creative professionals

Design Process

Problem & Solution

1

Design Thinking Framework

Followed the full Design Thinking process — Empathize, Define, Ideate, Prototype, Test. Ran user testing with 15 participants and incorporated their feedback into design iterations, resulting in an 80% satisfaction rate.

2

Market Research

The Russian job-search market is dominated by HeadHunter, SuperJob, and Rabota.ru (80%+ market share). Key finding: 52% of users search for jobs through digital platforms (10% YoY growth), messenger-based recruitment is growing 3% yearly among IT and creative professionals — signaling a clear shift toward mobile-first, conversational hiring.

3

User Research & Competitive Benchmarking

Conducted supervised user research with active job seekers and benchmarked LinkedIn Jobs, hh.ru, and SuperJob. Core pain points emerged: users never receive feedback on submitted resumes, and existing platforms prioritize employer needs over candidate experience. Created detailed personas and user journey maps to guide design decisions.

4

MVP Feature Design

Identified three core features to directly address pain points: a Verified Employer Badge with company background checks to combat fake postings; an AI-based Resume Analyzer matching user profiles with job descriptions; and an In-app Chat Assistant facilitating real-time feedback between users and employers.

5

Wireframes, Prototyping & User Testing

Created two key user flow scenarios: 'Applying to a job where the resume matches' and 'Applying where it doesn't match.' Built interactive digital prototypes tested with 15 participants, then ran a card sorting exercise to identify common themes and refine navigation and hierarchy.

Key Challenges

Problem & Solution

  • Standing out in a market where three players hold over 80% market share

  • Building trust in a space plagued by fake postings and poor post-application communication

  • Balancing the needs of both job seekers and employers in a dual-sided marketplace

Outcome & Impact

User Insights

Simplified onboarding flow by 45% compared to competitor benchmarks

Introduced verified employer listings, AI resume analyzer, and direct recruiter chat

Achieved 94% task success rate across core user flows in testing

Reached 80% satisfaction rate from user testing with 5 participants

Simplified onboarding flow by 45% compared to competitor benchmarks

Achieved 94% task success rate across core user flows in testing

Introduced verified employer listings, AI resume analyzer, and direct recruiter chat

Reached 80% satisfaction rate from user testing with 5 participants

Reflections

Problem & Solution

Working on this project strengthened my ability to connect business goals with real user needs. I learned how to apply data-driven design decisions while maintaining empathy throughout the process. Most importantly, this project taught me how to design with trust in mind — creating experiences that empower users rather than overwhelm them. I would expand future testing to include recruiters and mid-career professionals to better balance both sides of the hiring experience.