A score needs
a next step.
Getting a resume score is easy; knowing how to fix it is not. ArkCV highlights specific resume issues and gives job seekers clear ways to improve their content step by step.
Job seekers often get low resume scores without understanding why. They need clear feedback that tells them what to fix.
Many resume scanners show a single number without explaining where points were lost. Candidates are left guessing whether to rewrite bullet points, tweak formatting, or rearrange sections.
Our goal was to explain resume issues in plain English and let candidates stay in control of how they edit their content.
ArkCV was built by a three-person team in collaborative sprints. As UX Analyst, I designed the user flows, page layouts, interactive prototypes, and reviewed working builds.
Defined product scope, monetization models, and tier structures (Free, Pro, Elite).
Built the web application, resume parser, AI integrations, and database architecture.
I mapped user journeys, structured editor layouts, built prototypes, and reviewed working screens with the team to fix confusing steps and awkward layouts.
We tested working screens directly in the browser and refined interactions through team reviews across four stages.
Audited competing resume tools and noted common pain points: unclear scores, rigid forms, and lack of user control.
Prototyped intake options and editor layouts to make moving from the score to editing clear and easy.
Reviewed working browser builds with the team and peers to spot confusing buttons, navigation issues, and awkward layout shifts.
Brought the six diagnostic checks, three AI editing options, and pre-download review into the Version 3 release.
Used Google AI Studio, Lovable, and Figma Make for rapid interactive prototyping in the browser. Team walkthroughs guided improvements before final implementation.
Four months of focused design and prototyping, moving from initial problem research to a working builder with clear AI guidance.
Audited existing builders and candidate drop-offs; identified opaque scoring and rigid forms; mapped candidate journeys across 3 entry paths.
UX Analyst & TeamStructured 5-step core builder flow, section navigation, and form hierarchy (Contact, Experience, Skills, Education, Projects).
UX Analyst (My Contribution)Built interactive prototypes to evaluate layout balance, screen pacing, and interaction flow directly in the browser.
UX Analyst (My Contribution)Designed interface for six diagnostic checks and structured side-by-side comparison for Section-by-Section, AI Auto-Rewrite, and Executive Rewrite.
UX Analyst & EngineeringTested working browser builds through team walkthroughs and peer reviews following mid-May test launch; refined interaction clarity and action hierarchy, then shipped Version 3.
UX Analyst & TeamAudited competing resume tools to identify common user frustrations: opaque scoring, rigid forms, and lack of candidate control. Mapped candidate user journeys across three distinct starting points (Template-first, Upload CV, Scratch) converging into the core editor.
Built interactive prototypes to evaluate layout balance, screen pacing, and interaction flow in the browser. Conducted an initial test launch around mid-May 2026 to review navigation and intake flows with peers.
Structured the side-by-side preview layout for Section-by-Section, AI Auto-Rewrite, and Executive Rewrite. Tested working browser builds repeatedly within the team and with peers to uncover ambiguous buttons and awkward transitions.
Refined interaction clarity, button hierarchy, and in-editor review steps. Unified the six diagnostic checks and three AI editing tiers into the final Version 3 release.
Instead of forcing everyone through one rigid sequence, we designed three starting points that lead into a straightforward five-step builder.
Three starting options lead into a five-step builder, supported by practical job search tools.
The platform connects the core resume builder with practical tools for cover letters, interview prep, and online profiles.
Generate a tailored cover letter matched to a target role.
Find job listings matched to your skills and experience.
Practice role-specific interview questions and answers.
Improve your headline, summary, and work history for better clarity.
Share a web profile link directly with recruiters.
Complete architectural map of Version 3 modules, pages, and entry logic based on the shipped product.
A technical breakdown of all six core modules in Version 3.
How candidates enter the builder with different intentions and merge into the same core flow.
Overview diagram showing how candidates start with different goals and come together into the same five-step builder.
Three distinct candidate entry intentions converging into the core resume builder flow.
Bring an existing resume to check its score and improve the wording.
Start with a layout and fill in your details.
Adapt a resume for a particular job.
Every design choice followed a structured framework: Problem → Design decision → Why it mattered.
A single number tells candidates their resume needs work without explaining why or what to fix.
Grouped feedback into six clear categories: Keywords, Impact & Metrics, Contact Details, Section Structure, Action Verbs, and Formatting.
Candidates can see exactly where points were lost and know what to change first.
Rewriting a whole resume with AI often sounds robotic, but writing everything from scratch is slow and tiring.
Provided three distinct options: Section-by-Section guidance, full AI Auto-Rewrite, and an Executive Rewrite for leadership roles.
Candidates choose how much help they want—using AI suggestions while keeping control of their own words.
AI rewrites and form edits can accidentally change dates, job titles, or formatting without being noticed in separate fields.
Added a 'Compile & Preview' step before users download their PDF or save their profile.
Gives job seekers a final chance to review the complete layout, check details, and catch mistakes before sending applications.
Job search workflows often include cover letters, interview prep, and LinkedIn profiles.
Surfaced these extra tools on dashboard and post-export screens without cluttering the primary resume builder.
Kept our main focus on building a great resume editor while keeping the overall scope manageable for a small team.
Unified typography, color palette, and interaction tokens.
Read the design guide
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Clarity at every step.
Clarity at every step.
Clarity at every step.
Clarity at every step.
High-contrast text tokens paired with neutral surface layers.
Designed with high text contrast, visible focus rings, and full keyboard navigation in mind across all interactive elements.
Select a template structure, then import existing resume content.
Upload a PDF or paste plain text; ArkCV parses the data directly into structured fields.
Six transparent checks diagnose where content needs refinement: role keywords, quantifiable impact, contact completeness, section hierarchy, action verbs, and formatting.
Transparent diagnostics.
Candidate in control.
Select an AI assistance mode below to inspect its scope and application.
Target specific sections sequentially. Apply AI suggestions while preserving personal voice and control.
Refine content, reorder sections, and accept only the AI recommendations that fit your experience.
Generate a full preview to check formatting and catch mistakes before exporting.
Review Before Downloading
Check layout alignment, text styling, and details before creating your final PDF.Export an ATS-compliant PDF, save the version to your profile, or explore supporting career tools.
Explore ArkCV’s live resume builder. Try the template filters and builder steps below, or open the application in a new tab.
Version 3 delivered a more transparent, user-controlled resume builder. Here is what we shipped, what we reviewed together, and what still needs testing.
Walk through the complete system: structured resume creation, job discovery, and interview preparation.
