AI-Powered HR Assessment Platform by Victor EnesiAI-Powered HR Assessment Platform by Victor Enesi

AI-Powered HR Assessment Platform

Victor Enesi

Victor Enesi

AI Assessment Platform for Enterprise HR - 0 to 25 enterprise clients

Who this is for: Founders building an AI product for enterprise buyers who need compliance, audit trails and role-based access before they will sign - and who have no designer yet.
The situation
HR and L&D teams at large organisations were building assessment tests by hand - roughly two weeks per test, no analytics, no automation. The founders had a working AI model and a real market, but no product. The hard part was never generating questions. It was convincing a compliance team at a Big Four firm that an AI-generated assessment was defensible enough to put in front of candidates.
What I actually did
I joined as the first designer and built the product foundation from zero: information architecture, design system, and the end-to-end flows for assessment creation, review, distribution and reporting.
The core design decision was human-in-the-loop by default. Rather than presenting AI output as finished, every generated assessment enters a review state with visible provenance - what the model produced, what a human changed, and who signed off. This made the product legible to compliance reviewers and became the thing enterprise buyers responded to in demos.
Designed role-based access for complex org structures: an L&D lead, a hiring manager and an external assessor each see a different surface of the same assessment.
Built an analytics layer that translates raw scores into hiring signal, because the buyer is a hiring manager, not a psychometrician.
Designed white-label capability so the platform could sit inside an enterprise client's own brand without a rebuild per customer.
Worked directly with the founders on product-market fit - sitting in on sales calls, then feeding objections straight back into the interface rather than into a backlog.
How I worked
Two-month sprint to first launch, working directly with both founders and a small engineering team. Weekly build reviews, prototypes tested against live sales conversations before anything was committed to code. Where a design decision had compliance implications, I wrote the rationale down so the founders could defend it in a procurement conversation without me in the room.
What the client reported afterwards
Figures below were reported by the SimplifiedIQ leadership team. I was the founding product designer; the outcomes reflect the work of the whole founding team.
Signed 25 enterprise clients within six months of launch, including Deloitte, KPMG, government bodies and NGOs
Assessment creation time dropped from roughly two weeks to under an hour
Reached approximately 100,000 weekly active users
Client retention reported at 92%
Over 2 million assessments processed
Reported 38% improvement in hiring quality across client cohorts
Stack:
Figma
AI product patterns
WordPress custom development
Analytics
Enterprise RBAC
Similar engagement today
Founding design partner for an AI product going after enterprise buyers. Typically 6–10 weeks: product architecture, design system, core flows, a compliance-legible AI review model, and a demo-ready prototype your sales team can actually sell with.
Typical investment: $6,000 – $10,000 for a 6–10 week founding design engagement. Ongoing retainer from $3,500/month.

What I Did

I designed a scalable assessment platform that could serve everyone from small startups to Fortune 500 companies. I created an AI-powered question generation tool that reduced test creation time from weeks to minutes, built role-based access controls flexible enough for complex enterprise org charts, designed analytics dashboards that translated test data into hiring insights (not just scores), and created white-label capability so clients could brand the platform as their own.
I built the entire product on WordPress for rapid iteration while maintaining enterprise-grade functionality. The system had to be simple enough for a solo founder but powerful enough for global HR teams.

Where It Got Messy

Six weeks before enterprise client demos, Deloitte's security team rejected our entire authentication system because it didn't meet their SSO requirements. We had to implement enterprise-grade single sign-on integration across multiple identity providers (Azure AD, Okta, Google Workspace) while maintaining the simple email/password option for smaller clients. Then KPMG requested custom assessment templates that our flexible builder couldn't handle, they needed industry-specific compliance questions we hadn't designed for. I had to extend the question builder architecture to support custom question types and regulatory compliance tags without breaking existing functionality for other clients.

Results

SimplifiedIQ acquired 25 enterprise clients including Deloitte, KPMG, government agencies, and NGOs within 6 months. The platform serves 100K weekly users. Assessment creation time dropped from 2 weeks to 45 minutes on average. Client retention rate: 92%.
The platform has processed 2M+ assessments. Clients reported 38% improvement in hiring quality because assessments actually predicted job performance. The white-label feature became the top-requested enterprise selling point.
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Posted Apr 21, 2026

Designed a scalable assessment builder with AI-generated questions, role-based org access, and analytics dashboard that translates test data into insights.

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Timeline

Dec 1, 2022 - Dec 1, 2023