Archive over shortlist
Every documented project stays searchable instead of being reduced to a fixed "best 3–5."
This portfolio was designed like a product, not a marketing site, starting from research into how recruiters actually evaluate design work. Recruiter-first information architecture, capability-based filtering, and job-description-aware search all answer one question fast: is this designer qualified?
Most portfolios are built as marketing sites: optimized for showing off, not for how a recruiter or hiring manager actually evaluates work under real time pressure.
This project started with a question instead of a template: what does a recruiter actually scan for in the first thirty seconds, and what would a portfolio look like if it were designed as a product around that answer, rather than assumed?
A recruiter-first information architecture built around fast qualification signals: capability-based filtering, structured project metadata, and search designed to understand job-description language, not just literal keyword matches.
Every piece of it, including this project detail page, is a custom Framer code component, hand-built rather than assembled from templates, so the interaction patterns could be tuned specifically for fast evaluation.
A senior designer’s portfolio should make the full range of their documented experience discoverable while helping each visitor isolate the evidence relevant to them.
A fixed shortlist asks the designer to predict every future hiring need. That can hide credible experience simply because it is older, narrower, or outside the designer’s most recent role. This portfolio keeps that evidence available, then uses search, capability filters, descriptions, and reading-depth signals to make a large archive usable.
Every documented project stays searchable instead of being reduced to a fixed "best 3–5."
Filters are organized by capability and medium so a specific ask can resolve before someone reads a case study.
Skim and Deep Dive remain on the same page. A planned middle tier was removed when its meaning overlapped with both.
Search indexes what was built inside each project, not only project titles and company names.
A large archive makes narrow experience discoverable, but it can also make every project appear equally important. The mitigation is hierarchy: preserve the breadth while controlling how much of it each reader encounters.
The live research evaluates whether the archive converts breadth into relevant, credible evidence.
Test whether someone hiring for a specific capability can locate credible evidence without reading the entire archive.
Learn whether visitors consider me for a broader and more accurate range of work than my recent projects alone suggest.
See whether visitors can distinguish quick proof from the projects that offer a deeper case study.
Preserve breadth without making the work feel undifferentiated or obscuring what I am especially strong at.
Separate behavioral, perceptual, and evaluative questions.
Test role, level, and clarity after ten seconds.
Ask recruiters to find evidence for one realistic need.
Use private analytics to evaluate real discovery paths.
Signals are collected privately and used to improve the experience.
Which capabilities visitors use to narrow the archive.
Which needs cannot be resolved through filters alone.
How often visitors remain in Skim or open Deep Dive.
How quickly someone moves from the homepage into the work.
How long visitors spend exploring overall.
Where visitors abandon a path or interact without progressing.
I’m studying how recruiters, hiring managers, and design teams find evidence in a large portfolio. If you’ve explored the site, I’d love 30 seconds of feedback.