PCRecruiter
ATS and CRM hybrid software
Main Sequence Technology
About the project
As the UX/UI Designer and Design Lead at MainSequence Technology, I led the redesign of PCRecruiter — an enterprise-level ATS and CRM software used by staffing agencies and HR teams worldwide to manage talent acquisition and client relationships.
I focused on enhancing usability, streamlining workflows, and modernizing the overall experience, while also contributing to the new brand identity of the platform.
Tools used
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​Figma for UI design and prototyping
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AI tools for design ideation and content optimization
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User interviews for gathering insights
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Card sorting & information architecture for navigation improvements
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Branding development for the new visual identity of PCRecruiter
Initial UX Research
Who are our users?
Before diving into UI design and new features created, I started understanding who our users and clients were, what were their needs and overall their profile and journey.
Customer journey
Each role has a different journey that can be completed through PCR, however one of the most important ones is the Recruiter role, despite this role is in charge of multiple tasks, for an initial exercise we decided to research the recruitment journey:
Essential features of PCR that I contributed to
Grids UX
Search, scroll and findabilty in grids
Coming soon!
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Key Feature #1
Artificial Intelligence Search
How can we make search feel as easy as asking a question?
Recruiters needed a smarter, faster way to find candidates, jobs, and any records using natural language — without relying on complex filters.
The goal was to design an intuitive AI-powered search that felt effortless to use, explained how it worked, and delivered clear, trustworthy results.
How did I translate AI power into real user value?
1
Research
Conducted user interviews and task analysis to identify how recruiters search and where friction occurs.
3
AI Help module
Explains the feature, offers use cases, and sets expectations for limitations
Implemented contextual tooltip that drives users to AI Search discovery and adoption
2
Designed a conversational UI
Natural language input, auto-suggestions, and feedback cues
Rating answers help AI to become smarter
4
Defined the visual system for AI responses
Including helpful suggestions when the AI can’t interpret the user's input, guiding them to refine their query and improve results
5
Designing User Flows
Designed detailed UI flows and high-fidelity screens in Figma, focusing on layout, hierarchy, and interaction clarity
6
Handoff and Dev collaboration
Collaborated with developers and product managers to ensure the design aligned with AI capabilities and backend constraints
Other AI features designed for PCRecruiter
Job Decription AI Generator
Designed the UI entry point, including a clear call-to-action button and a “Retry” option for quick content regeneration, making the feature easy to access
Email AI assisstant
Created the UX for an AI assistant that helps recruiters draft outreach emails to candidates. The assistant asks for the tone and goal of the message, then generates the email
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AI Suite in PCRecruiter
Key Feature #2
Recruitment Simple Sequence
A dynamic workflow builder that helps recruiters organize and execute daily tasks with clarity.
I was responsible for the full experience—from defining user flows to designing the interface for creating and managing sequences with a mix of manual and automated steps.
This is just a preview!
More details, behind-the-scenes design decisions, and user flows will be added soon
Key Feature #3
Deals - Visual Pipeline for Recruiters
Led the UX/UI design for a Kanban-style board that helps recruiters manage deals across stages. I also adjusted the integrated analytics to track progress, wins/losses, and performance—turning data into actionable insights.
Deals kanban view
Just the beginning!
More design insights, user flows and behind-the-scenes coming soon
Key feature #4
Information Architecture for Records
Names, companies and positions records can store tons of important information for PCR users
How can all this information be structured in a easy way to read, search and modify in the UI?
1. UI analysis
All started with the analysis of the current version of record views.
Usability testing: 10 test were done with users of initial version. Results are going to be compared after the new design in place.
Here are some UX challenges identified:
No search bar or quick navigation
Excessive scrolling and no visual anchors
Edit mode always
All fields visible all the time
No indicators for unsaved changes
Information not structured
Inconsistent layout and poor alignment
Position
Screens reviewed & tested:
Name
Company
2. Information architecture exercise
A list with all the fields for each record was done and shared with 15 users with different roles (recruiters, sales executives, business operations..) and we asked them to group and label them in groups
This way we identified patterns on how users can potentially find terms based on the groups names they were created, which suprinsingly were repeated in the results
3. UX/UI Design
The new design addresses the issues of findability and while enhancing the experience of field interactions. Key changes implemented include:
Chips to navigate to each information group
Search bar
Read mode as default
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Edit all option included
and individual edit mode when hovering
Toggle to hide empty values
Email, website links and phone numbers actually work as links in read mode
During the initial usability testing with older designs, users faced challenges when editing fields that needed more space and additional editing options, such as the job description and candidate summary. This led us choose a specialized design for these elements:
3. Usability testing
10 users participated in the usability testing of the new design
Aspect evaluated and task
Before (problem)
UX Metrics (Before → after)
Findability
"Find the candidate location"
No search, user scrolls manually
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Task completion rate: 60% → 100%
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Task time (avg): 120s → 44s
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Errors: 3 → 0
Visual clarity / Cognitive load
"Read through the company record and summarize any data quality issue"
Gray noisy fields, always edit mode
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NASA-TLX (avg): 70/100 → 30/100
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SUS: 55 → 85
Information Architecture
"Locate candidate desired salary and identify if candidate is a veteran"
No grouping or structured info, hard to scan
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Task success rate: 50% → 90%
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User confidence: 4/10 → 9/10
Guidance and Feedback
"Edit the job description, title and fee compensation and leave without saving" Mention your impressions
Lack of system visiblity status (edit, read, save..) Poor error messages
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Error recovery rate: 40% → 100%
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First-time success: 50% → 90%
NASA-TLX (Task Load Index): 0-100 scale | SUS (System usability scale): 0-100 scale | User confidence: 0-7 scale
The redesign improved usability by making tasks faster, reducing errors, and increasing user confidence. Key improvements like the search bar, better information grouping, and clearer visuals enhanced efficiency and satisfaction, as reflected by higher SUS scores and lower task completion times.