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Robin.

A client-driven product/design project focused on understanding an existing job-search workflow, stakeholder/client requirements, application organization, resume management, interviews, contacts, and iterative UX validation.

Fig. 01 · Robin, a job-search platform evaluated through a real-client UX engagement
01 / 05Overview

The project in 30 seconds

The problem

Job seekers faced information overload, inconsistent workflows, and limited visibility across discovery, applications, and follow-up.

What I did

I helped lead research synthesis across surveys, contextual inquiry, journey mapping, heuristics, competitive review, and usability testing.

The direction

Shift Robin from a collection of job-search tools toward a clearer system that supports relevance, progress, and decision confidence.

Role

UX Researcher, Experience Strategist & Synthesis Lead

Duration

Spring semester

Methods

Surveys, contextual inquiry, heuristics, usability testing

Tools

Figma, Miro, Google Forms

02 / 05Discover

Understanding the job-search journey

The friction wasn't only finding a job. It was maintaining clarity and momentum.

Evaluate the existing user experience, identify usability issues, and develop recommendations that reduce friction throughout the job search journey while supporting both user success and business objectives.

Research revealed candidates struggling with information overload, inconsistent workflows, and unclear pathways during critical decision-making moments in the job search process.

Robin job seeker journey map
Fig. 02 · Journey mapping connected daily job-search behaviors to moments of friction and opportunity
Research findingsWhat discovery revealed
01 · Relevance

More listings did not create better choices.

Job seekers struggled to identify opportunities that matched their goals, qualifications, and priorities.

02 · Continuity

The application journey felt fragmented.

Search, resumes, applications, follow-ups, and interviews were handled as separate tasks with little sense of progress.

03 · Confidence

Unclear feedback increased uncertainty.

Users needed stronger status visibility, clearer next steps, and more control during a high-stakes process.

03 / 05Define

Diagnosing the experience

Too much information

Disconnected application tasks

Limited status and feedback

Job seekers did not need another list. They needed a system that made progress visible and decisions easier.

Relevant discovery
Connected workflow
Visible progress
Usability evidence

Small inconsistencies weakened trust at important moments.

The heuristic evaluation exposed problems with consistency, system feedback, and user control. These findings translated broad frustrations into specific design priorities.

Robin heuristic evaluation examples
Fig. 03 · Heuristic review translated usability issues into actionable recommendations
04 / 05Design

Recommendations grounded in research

A job-search experience that helps people move forward.

The proposed system connects the moments users previously managed alone: understanding priorities, preparing materials, tracking activity, and knowing what to do next.

01

Clarify what comes next

A more useful home experience surfaces priorities, recruiter messages, interviews, and actions instead of making users reconstruct their progress.

02

Connect application materials

A guided resume workflow and reusable library make it easier to create, manage, and apply with the right version.

03

Turn activity into feedback

Application analytics help job seekers understand patterns and make more informed adjustments to their strategy.

Guided Robin resume builder flow
Fig. 04 · A connected resume-building flow reduces fragmentation across application materials
Solution visual 01 / 05
05 / 05Next

Client value & next validation

The work delivered

Research synthesis
Usability diagnosis
Product priorities
Design recommendations
What I'd validate next

Test whether the proposed workflow helps job seekers identify relevant actions faster, understand their status, and adapt their strategy with less uncertainty.

The engagement produced research-backed recommendations presented directly to the client. Outcomes are framed as intended value rather than invented product metrics.

Reflection

Small usability issues can significantly impact user confidence. Research uncovered opportunities that analytics alone would have missed.

This project demonstrates
Client CollaborationResearch SynthesisUsability EvaluationExperience StrategyProduct Recommendations
Next case — 04Continue →

Next Destination.

Designing an all-in-one travel planning application from concept through high-fidelity prototype and go-to-market strategy.