Service Design
UX Design
Systems Thinking
Human Resources
Candidate Experience in Recruitment
A co-designed service system with HR professionals and candidates, creating recruitment services that promote transparency, fairness, and AI-supported mutual learning.
Project Details
Role
UX & Service Designer (End-to-End UI)
Team project of 5
Sole ownership of all UI, IxD and Prototyping
Co-facilitated workshops & service blueprinting
Duration
4 months (Feb-Jun 25)
Institution
Politecnico di Milano
Constella is a recruitment platform designed to uncover hidden talent in underrepresented regions. Through service design, co-design workshops, and UX prototyping, our team reimagined how companies can discover and support “star candidates.” The project combined research with system-level design and resulted in service blueprints and UX prototypes illustrating both candidate and company journeys.
Outcome
A recruitment service concept that connects non-connected job seekers with companies through talent events, co-designed challenges, and an AI-supported platform.
Design Challenge
How might we create equal chances in recruitment processes for non-connected candidates, giving both recruiters and candidates a genuine impression of each other, while remaining efficient?
Process
Stakeholder Interviews & Candidate Journey Mapping
Conducted interviews with 10 job seekers and 2 HR managers to uncover pain points around feedback and transparency in candidate journeys.
Co-Design Workshop
Facilitated a co-design session with graduating students to identify their needs and expectations in recruitment, collaboratively shaping activities and features for the service.
Co-Design Workshop
Platform Design Decisions & Wireframe Iteration
After identifying user flows, rapidly sketched low-fidelity wireframes to explore layout options. Iterated the dashboard structure to highlight learning progress and provide advice.
Branding & Design System
Created a cohesive visual identity and component-based design system that ensured consistency, accessibility, and scalability across the platform.
Final Outcome
The final service combines in person recruitment events, an AI-supported learning platform, and a transparent recruitment supporting system that helps organizations move to fairer, feedback-driven hiring processes.
Candidate Offering Map
Defined key touchpoints and value propositions for candidates, mapping how the service supports transparency, growth, and engagement throughout the recruitment process.
Recruiter Offering Map
Outlined the recruiter-facing touchpoints to clarify workflows, feedback loops, and collaboration opportunities within the platform’s ecosystem.
Candidate & Recruiter User Journeys
Visualized end-to-end candidate and recruiter journeys to highlight critical interactions and feedback exchanges in the recruitment experience.
AI Interview Simulation
Designed an AI-assisted interview experience that helps candidates practice responses and receive transparent, skill-based feedback to prepare for real assessments.
HR Dashboard
Developed the recruiter interface for managing candidate pools, reviewing reports, and tracking hiring progress, focused on accessibility, clarity, and data transparency.
AI Interview Simulation Dashboard
Designed a dashboard to track AI-assisted interviews, showing previously completed simulations and the candidates practice record, while offering useful quick tips personalized to each candidate.
Reflection
This project taught me how to translate fairness and transparency into digital user experiences. It strengthened my ability to connect complex service systems with clear, accessible, and ethical design outcomes.
Service Design
UX Design
Systems Thinking
Human Resources
Candidate Experience in Recruitment
A co-designed service system with HR professionals and candidates, creating recruitment services that promote transparency, fairness, and AI-supported mutual learning.
Project Details
Role
UX & Service Designer
Focus on UX Flows, Co-Design, Service Blueprinting
Team project of 5
Duration
4 months (Feb-Jun 25)
Institution
Politecnico di Milano
Constella is a recruitment platform designed to uncover hidden talent in underrepresented regions. Through service design, co-design workshops, and UX prototyping, our team reimagined how companies can discover and support “star candidates.” The project combined research with system-level design and resulted in service blueprints and UX prototypes illustrating both candidate and company journeys.
Outcome
A recruitment service concept that connects non-connected job seekers with companies through talent events, co-designed challenges, and an AI-supported platform.
Design Challenge
How might we create equal chances in recruitment processes for non-connected candidates, giving both recruiters and candidates a genuine impression of each other, while remaining efficient?
Process
Stakeholder Interviews & Candidate Journey Mapping
Conducted interviews with 10 job seekers and 2 HR managers to uncover pain points around feedback and transparency in candidate journeys.
Co-Design Workshop
Facilitated a co-design session with graduating students to identify their needs and expectations in recruitment, collaboratively shaping activities and features for the service.
Co-Design Workshop
Platform Design Decisions & Wireframe Iteration
After identifying user flows, rapidly sketched low-fidelity wireframes to explore layout options. Iterated the dashboard structure to highlight learning progress and provide advice.
Branding & Design System
Created a cohesive visual identity and component-based design system that ensured consistency, accessibility, and scalability across the platform.
Final Outcome
The final service combines in person recruitment events, an AI-supported learning platform, and a transparent recruitment supporting system that helps organizations move to fairer, feedback-driven hiring processes.
Candidate Offering Map
Defined key touchpoints and value propositions for candidates, mapping how the service supports transparency, growth, and engagement throughout the recruitment process.
Recruiter Offering Map
Outlined the recruiter-facing touchpoints to clarify workflows, feedback loops, and collaboration opportunities within the platform’s ecosystem.
Candidate & Recruiter User Journeys
Visualized end-to-end candidate and recruiter journeys to highlight critical interactions and feedback exchanges in the recruitment experience.
AI Interview Simulation
Designed an AI-assisted interview experience that helps candidates practice responses and receive transparent, skill-based feedback to prepare for real assessments.
HR Dashboard
Developed the recruiter interface for managing candidate pools, reviewing reports, and tracking hiring progress, focused on accessibility, clarity, and data transparency.
AI Interview Simulation Dashboard
Designed a dashboard to track AI-assisted interviews, showing previously completed simulations and the candidates practice record, while offering useful quick tips personalized to each candidate.
Reflection
This project taught me how to translate fairness and transparency into digital user experiences. It strengthened my ability to connect complex service systems with clear, accessible, and ethical design outcomes.
Service Design
UX Design
Systems Thinking
Human Resources
Candidate Experience in Recruitment
A co-designed service system with HR professionals and candidates, creating recruitment services that promote transparency, fairness, and AI-supported mutual learning.
Project Details
Role
UX & Service Designer
Duration
4 months
(Feb - Jun 25)
Institution
Politecnico di Milano
Constella is a recruitment platform designed to uncover hidden talent in underrepresented regions. Through service design, co-design workshops, and UX prototyping, our team reimagined how companies can discover and support “star candidates.” The project combined research with system-level design and resulted in service blueprints and UX prototypes illustrating both candidate and company journeys.
Outcome
A recruitment service concept that connects non-connected job seekers with companies through talent events, co-designed challenges, and an AI-supported platform.
Design Challenge
How might we create equal chances in recruitment processes for non-connected candidates, giving both recruiters and candidates a genuine impression of each other, while remaining efficient?
Process
Stakeholder Interviews & Candidate Journey Mapping
Conducted interviews with 10 job seekers and 2 HR managers to uncover pain points around feedback and transparency in candidate journeys.
Co-Design Workshop
Facilitated a co-design session with graduating students to identify their needs and expectations in recruitment, collaboratively shaping activities and features for the service.
Co-Design Workshop
Platform Design Decisions & Wireframe Iteration
After identifying user flows, rapidly sketched low-fidelity wireframes to explore layout options. Iterated the dashboard structure to highlight learning progress and provide advice.
Branding & Design System
Created a cohesive visual identity and component-based design system that ensured consistency, accessibility, and scalability across the platform.
Final Outcome
The final service combines in person recruitment events, an AI-supported learning platform, and a transparent recruitment supporting system that helps organizations move to fairer, feedback-driven hiring processes.
Candidate Offering Map
Defined key touchpoints and value propositions for candidates, mapping how the service supports transparency, growth, and engagement throughout the recruitment process.
Recruiter Offering Map
Outlined the recruiter-facing touchpoints to clarify workflows, feedback loops, and collaboration opportunities within the platform’s ecosystem.
Candidate & Recruiter User Journeys
Visualized end-to-end candidate and recruiter journeys to highlight critical interactions and feedback exchanges in the recruitment experience.
AI Interview Simulation
Designed an AI-assisted interview experience that helps candidates practice responses and receive transparent, skill-based feedback to prepare for real assessments.
HR Dashboard
Developed the recruiter interface for managing candidate pools, reviewing reports, and tracking hiring progress, focused on accessibility, clarity, and data transparency.
AI Interview Simulation Dashboard
Designed a dashboard to track AI-assisted interviews, showing previously completed simulations and the candidates practice record, while offering useful quick tips personalized to each candidate.
Reflection
This project taught me how to translate fairness and transparency into digital user experiences. It strengthened my ability to connect complex service systems with clear, accessible, and ethical design outcomes.
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