Offerplz
Designing an intelligent career guidance system that helps professionals navigate their career journey
spklAI
Lead UX Designer
2 months
Figma
2024
TL;DR
Offerplz redefines resume creation with an AI-driven platform that transforms raw experience into polished, recruiter-ready narratives in minutes. As the UX Designer, I led user research, defined the MVP scope, and designed the end-to-end product experience from editor to export.
Problem
Job seekers struggle to craft impactful project bullet points; generic task lists dominate resumes, weakening recruiter appeal.
Solution
Offerplz uses AI to generate tailored, results-driven project bullets in a clean, distraction-free resume editor.
Impact
Target 10,000 registered users within 6 months, maintain 85% user satisfaction for AI suggestions, and achieve 25% monthly retention rate.
Context
We discovered that while AI resume builders exist, most fail to help job seekers tailor project bullet points with impact—leaving resumes filled with generic task lists that fail to impress recruiters.
Surveys revealed that 70% of candidates spend over 5 hours tailoring resumes, and more than 60% admit they struggle the most with writing project bullets that demonstrate results.
Frustration is compounded by flashy, template-heavy builders that sacrifice clarity and professionalism for style—creating resumes that look busy but don't convert into callbacks.
All the signals tell us – job seekers need a professional, fixed-format resume tool powered by AI to generate results-driven project bullets that recruiters actually value.
Goals
Precise Bullet Tailoring
Enable candidates to craft impactful project bullet points that emphasize results and recruiter value.
Faster Resume Editing
Reduce tailoring time from hours to minutes with AI-driven bullet generation and streamlined workflows.
Professional, Fixed Formatting
Deliver consistent LaTeX-quality resumes that prioritize clarity and recruiter readability over flashy templates.
Boost Candidate Outcomes
Increase candidate confidence and recruiter response rates by producing polished, results-driven resumes.
Approach
Phase 1 — Identifying the Gap
Understanding job seeker frustrations and market blind spots
🎯 Objective
Validate whether job seekers' biggest struggles are writing impactful project bullets and tailoring resumes to job descriptions.
⚡ Action
- Conducted 1:1 interviews with job seekers from different industries to uncover common frustrations in resume writing.
- Ran a comparative usability audit on 6 leading AI resume tools to identify market blind spots.
- Synthesized findings into an affinity map highlighting the biggest friction points: difficulty quantifying achievements, lack of role-specific language, and low trust in generic AI outputs.
Affinity mapping board with job seeker pain points and competitor analysis
✅ The opportunity is clear: a resume tool that combines impactful bullet generation with role-specific keyword optimization—a gap unaddressed in the market.
Phase 2 — Designing the Solution
Defining MVP and prototyping a professional, AI-driven editor
🎯 Objective
Translate findings into a minimum viable product that balances AI assistance with professional formatting and recruiter readability.
⚡ Action
- Defined MVP scope: bullet generator, job description alignment, distraction-free editor, and LaTeX export.
- Prototyped a side-by-side editor that lets users review and edit AI-generated bullets in real time.
- Iterated AI prompt structures to improve tone, specificity, and action-result clarity.
- Integrated a "JD upload" mechanism and preview to drive role-specific tailoring.
Landing Page
Chat Interface
Job Description
Generation Interface
Resume Builder
Key interface designs showing the complete user journey from landing to AI-powered resume generation
✅ Early tests showed that JD alignment made resumes feel "job-ready", while LaTeX export reinforced professional credibility.
Phase 3 — Building & Testing
Launching beta and validating real-world impact
🎯 Objective
Measure whether AI-assisted bullet generation reduces resume tailoring time and improves recruiter response rates.
⚡ Action
- Beta launched with 50+ early adopters.
- A/B tested phrasing styles and editor flows.
- Collected recruiter feedback on clarity and impact.
Interactive before/after comparison - hover over the image to see the transformation from generic bullet points to impactful, quantified achievements
✅ Offerplz reduced tailoring time by ~80%, boosted recruiter callbacks, and validated JD keyword tailoring as a differentiator.
Impact
What Users Said
"Offerplz transformed my generic project descriptions into compelling bullet points that actually got recruiters' attention. I landed 3 interviews in two weeks."
"The AI suggestions helped me articulate impact I didn't even realize I had. My resume finally tells a story recruiters want to hear."
Reflect
Building Offerplz as a 0→1 product required navigating ambiguity and translating raw user frustrations into a focused product direction. Unlike template-driven builders, the team had to align research, design, and technical execution to create a resume tool that felt both professional and recruiter-ready.
As a product and UX Designer, I led user research, defined the MVP scope, and partnered closely with engineering to iterate on the editor experience. Along the way, I learned that impactful, recruiter-oriented outputs matter more than flashy features—clarity and trust consistently outweighed novelty in user feedback.
Looking forward, I would refine onboarding and JD keyword optimization to make the product even more adaptive to diverse job markets. More importantly, this project reinforced my ability to design for credibility and simplicity in AI-powered workflows, a principle I now carry into future product builds.