01 / Context
A recruitment product built around the full hiring journey.
HireMore brings the recruitment lifecycle into one platform, from creating and publishing jobs to sourcing candidates, evaluating applicants, running interviews and moving people through hiring stages.
How can AI remove repetitive recruitment work while keeping recruiters informed, confident and in control of important decisions?
02 / Contribution
My role & scope.
Product Designer across the end-to-end recruitment experience.
- Information architecture and navigation
- Recruitment workflows and data-heavy interfaces
- AI-assisted job and candidate experiences
- Interview and candidate-facing flows
- Reusable UI patterns and interaction states
03 / Recruitment workflow
One workspace for the hiring process.
The product structure connects jobs, candidates, interviews and tasks without making recruiters jump between disconnected tools.
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01
Create and improve jobs
Guided and automated job creation helps recruiters define roles, screening questions and evaluation criteria before publishing.
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02
Review candidates
Candidate lists, saved views, filters, scores and profiles support fast review while keeping the underlying candidate information accessible.
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03
Manage interviews and hiring stages
Applicants move through clear stages with interview status, evaluation information, transcripts, summaries and follow-up tasks in context.
04 / AI experiences
AI as an assistant, not the decision maker.
Make recommendations understandable
AI scoring, summaries and job health insights are presented alongside supporting information so recruiters can understand what the system is suggesting.
The trade-off: More context can increase cognitive load, so the interface should surface the most useful explanation first.
Separate automated and guided creation
Job creation is split into AI Automated and AI Guided paths, giving users a choice between faster generation and more control over the process.
The trade-off: Automation saves time, while guided input gives recruiters more control over the final result.
Turn job health into action
Job health scoring is paired with improvement suggestions so the score becomes a useful workflow rather than just another metric.
05 / Interview experience
Designing for both sides of the interview.
Interview management needed to work for recruiters while remaining clear for candidates completing AI audio or video interviews.
- Interview setup and microphone checks
- Candidate instructions and completion flow
- Scheduled and completed interview states
- AI-generated transcripts and summaries
- Invalid, expired and unavailable interview states
06 / System & states
Consistency across a complex product.
The interface relies on reusable patterns for tables, tabs, filters, dropdowns, modals, forms, cards, statuses and saved views. These patterns help keep dense recruitment workflows predictable.
Clear status feedback
Success, pending, completed, cancelled, expired, invalid and error states make system feedback visible at the point where it matters.
Data without unnecessary friction
Tables, metrics, filters, scores and saved views are structured around the tasks recruiters perform repeatedly.
Control across the organisation
Permissions, team collaboration, credits, billing, security, notifications and organisation settings remain part of the same workspace.
07 / Reflection
Making AI useful without making it opaque.
The central design challenge was not simply adding AI to recruitment. It was deciding where automation helps, where explanation is necessary and where the recruiter should remain firmly in control.
What this project strengthened
Designing HireMore meant working across product strategy, information architecture, complex workflows, data-heavy screens, candidate-facing experiences and a large set of system states.
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