Innovate UKDigital planning notices
Digital planning notices making local developments easier to discover and understand
Gov Tech
Context
emagine is a European IT consultancy connecting specialist talent with enterprise organisations. Its consultant portal had grown over time into a feature-heavy system that was difficult to navigate and increasingly costly to support. The brief was to rebuild the recruitment platform connecting consultants, agencies and opportunities across multiple business entities.
The product brought together a large consultant database, onboarding, job applications, LinkedIn import, AI-assisted CV parsing, AI assisted data enrichment, profile management and CV generation within one shared system.
The ambition was to create a more coherent product foundation: flexible enough to support different operational needs, while making consultant data easier to structure, reuse and manage.
User onboarding flows
Challenge
The central challenge was turning a fragmented, data-heavy consultant database into a clear and usable product experience. The system needed to align with LinkedIn data, accommodate different internal processes across business entities and support multiple languages - without adding complexity for consultants or agency users.
The solution was a profile-first model: a shared, structured source of consultant data that could be reused across onboarding, applications and CV generation, while workflow-specific requirements remained flexible at the process level.
Design challenges:
- simplifying a feature-rich, data-heavy ecosystem
- making a clear split between CV data and AI enriched data
- designing a mobile-first experience for consultants
- creating clearer, more modern interface patterns
- maintaining consistency across multiple languages and entities
From evidence to product
The platform had to support multiple tenants and business entities, each with slightly different workflows, data needs and operational habits. Rather than designing for assumptions, we stayed in continuous contact with users across entities. We ran surveys, held dedicated workshops with power users, and used ongoing chat-based feedback to understand where local differences genuinely mattered and where they were simply legacy variations.
We used continuous user feedback not only to improve individual flows, but to decide which differences belonged in the core product and which should remain tenant-specific.
We kept a shared core architecture — centred around the consultant profile — while allowing workflow-level differences where individual markets or entities required them. The result was a scalable product structure that could serve different business contexts, without turning each tenant into a separate product.
Mobile CV builder
Public job application
My role + impact
I led a four-person design team while remaining hands-on across UX architecture, product flows, interface design and prototyping for both consultant- and agency-facing experiences.
My role combined product design leadership with solving one of the platform’s core structural problems: translating complex recruitment workflows and fragmented consultant data into a clearer, scalable product model.
I helped shape a profile-first architecture in which LinkedIn import, CV parsing, onboarding, applications and CV generation worked from one reusable consultant data foundation.
LeadershipProduct architectureProfile & data modelComplex workflowsDesign systems
Key areas:
- design direction and team leadership
- consultant data structure and profile architecture
- LinkedIn import and CV parsing
- CV generation
- job application flows
- agency-facing workflows
- multilingual content
- mobile-first product design
Outcome
A profile-first architecture connected onboarding, LinkedIn import, CV parsing, applications and multilingual CV generation around one reusable consultant data model.
It created a stronger foundation for agencies while reducing repeated data entry for consultants. A shared data model made it easier to reuse professional information across workflows, generate CVs in multiple languages and support different operational needs across the business.
Main product value:
- structured consultant data
- reusable professional profiles
- stronger alignment with LinkedIn data
- clearer agency workflows
- multilingual CV generation
- faster applications using existing profile data
- a scalable foundation for multiple business entities
