AI Assistant
Relesys 2025
Lead product designer
Relesys offers an all-in-one workforce management app that supports training, communication, and operations for retail organizations. This project marked Relesys' first AI implementation, designing an intelligent assistant that provides instant on-shift support for frontline workers.
AI Product DesignMobile-First Design Conversational UI
Observation
Frontline workers need instant information while serving customers or performing tasks. Finding answers in Relesys app required navigating multiple modules or sorting through 20+ global search results—too slow for real-time work.
Despite managers uploading extensive company information, employees used the app as a mandatory after-shift tool for news, social updates, and training rather than an on-shift support tool.
Project Goal
The goal of this project was to increase motivation among young, frontline employees, through gamified experiences that recognize their progress and contributions, ultimately driving higher adoption and sustained interaction with the app.
Research
Quarterly CAB (Customer Advisory Board) meetings revealed consistent client requests for faster access to product and company information. Despite years of improving global search, it remained complex—returning extensive results requiring manual review.
When AI tools emerged in competitor products, clients began requesting AI-powered support for frontline workers. However, feedback was split: some clients were excited about AI possibilities, while others expressed serious concerns about data handling and security.
To maintain enterprise client retention and quickly demonstrate AI capabilities, we fast-tracked to beta. The discovery phase was condensed to targeted follow-up interviews with CAB members, leveraging existing insights rather than extensive new research.
Challenge
- Entry point placement: Determining where AI should live to ensure visibility and quick access from any module without disrupting user experience
- Technical uncertainty: Designing solutions while developers explored AI implementation options
- Data privacy & security: Handling GDPR compliance and addressing company fears about AI accessing all internal information
- Cross-module intelligence: Ensuring AI could surface information across training, tasks, operations, library, and shifts
Solution
Navigation Redesign for Mobile-First Access
The most critical decision was determining the AI entry point. After exploring floating bubbles and module-specific placements, I redesigned the bottom navigation—the first change to core navigation since product launch. This ensured one-tap access from anywhere in the app while maintaining mobile-first usability for on-the-go, one-handed interaction.
Key design decisions:
- Replaced notification icon with AI chat in bottom nav (moved notifications to top bar)
- Created onboarding modal to educate existing users about the change
- Designed for quick, on-the-go interactions with voice-first priority
AI Integration Design
The goal of this project was to increase motivation among young, frontline employees, through gamified experiences that recognize their progress and contributions, ultimately driving higher adoption and sustained interaction with the app.
Feedback System
Created structured feedback mechanism for continuous AI improvement:
- Simple rating options (thumbs up/down, copy, regenerate)
- Categorized feedback (Irrelevant, Repetitive, Result Not Found, Other)
- Optional text feedback (300 char max) with privacy assurance
- Visibility for both Relesys and client management teams
Validation & Feedback
Beta testing with retail partners (Netto, Specsavers) showed positive frontline adoption through quick prototype testing. Management reported significant increase in on-shift app engagement, validating the shift from mandatory after-shift tool to active work support.
The AI assistant transformed information retrieval from multi-step navigation to single-query responses.
Other Projects
See Project
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See Project
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Let’s chat about how I can add value to your team.
CONTACT
+48 793-692-909
designbyczajka@gmail.com
SOCIAL
Product Designer
AI Assistant
Relesys 2025
Lead product designer
Relesys offers an all-in-one workforce management app that supports training, communication, and operations for retail organizations. This project marked Relesys' first AI implementation, designing an intelligent assistant that provides instant on-shift support for frontline workers.
AI Product DesignMobile-First Design Conversational UI
Observation
Frontline workers need instant information while serving customers or performing tasks. Finding answers in Relesys app required navigating multiple modules or sorting through 20+ global search results—too slow for real-time work.
Despite managers uploading extensive company information, employees used the app as a mandatory after-shift tool for news, social updates, and training rather than an on-shift support tool.
Project Goal
The goal of this project was to increase motivation among young, frontline employees, through gamified experiences that recognize their progress and contributions, ultimately driving higher adoption and sustained interaction with the app.
Research
Quarterly CAB (Customer Advisory Board) meetings revealed consistent client requests for faster access to product and company information. Despite years of improving global search, it remained complex—returning extensive results requiring manual review.
When AI tools emerged in competitor products, clients began requesting AI-powered support for frontline workers. However, feedback was split: some clients were excited about AI possibilities, while others expressed serious concerns about data handling and security.
To maintain enterprise client retention and quickly demonstrate AI capabilities, we fast-tracked to beta. The discovery phase was condensed to targeted follow-up interviews with CAB members, leveraging existing insights rather than extensive new research.
Challenge
- Entry point placement: Determining where AI should live to ensure visibility and quick access from any module without disrupting user experience
- Technical uncertainty: Designing solutions while developers explored AI implementation options
- Data privacy & security: Handling GDPR compliance and addressing company fears about AI accessing all internal information
- Cross-module intelligence: Ensuring AI could surface information across training, tasks, operations, library, and shifts
Solution
Navigation Redesign for Mobile-First Access
The most critical decision was determining the AI entry point. After exploring floating bubbles and module-specific placements, I redesigned the bottom navigation—the first change to core navigation since product launch. This ensured one-tap access from anywhere in the app while maintaining mobile-first usability for on-the-go, one-handed interaction.
Key design decisions:
- Replaced notification icon with AI chat in bottom nav (moved notifications to top bar)
- Created onboarding modal to educate existing users about the change
- Designed for quick, on-the-go interactions with voice-first priority
AI Integration Design
Designed conversational interface optimized for frontline workers:
- Voice input with real-time transcription for hands-free queries during customer service
- Quick prompts displaying recent common questions for faster access
- Intelligent responses that provide answers plus direct links to relevant modules
- File sourcing to surface documents, policies, and training materials
- Branded personality matching Relesys tone, customizable by management (name, tone of voice, branding)
Feedback System
Created structured feedback mechanism for continuous AI improvement:
- Simple rating options (thumbs up/down, copy, regenerate)
- Categorized feedback (Irrelevant, Repetitive, Result Not Found, Other)
- Optional text feedback (300 char max) with privacy assurance
- Visibility for both Relesys and client management teams
Validation & Feedback
Beta testing with retail partners (Netto, Specsavers) showed positive frontline adoption through quick prototype testing. Management reported significant increase in on-shift app engagement, validating the shift from mandatory after-shift tool to active work support.
The AI assistant transformed information retrieval from multi-step navigation to single-query responses.
Other Projects
See Project
→
See Project
→
See Project
→
Let’s chat about how I can add value to your team.
CONTACT
+48 793-692-909
designbyczajka@gmail.com
SOCIAL
Product Designer
AI Assistant
Relesys 2025
Lead product designer
Relesys offers an all-in-one workforce management app that supports training, communication, and operations for retail organizations. This project marked Relesys' first AI implementation, designing an intelligent assistant that provides instant on-shift support for frontline workers.
AI Product DesignMobile-First Design Conversational UI
Observation
Frontline workers need instant information while serving customers or performing tasks. Finding answers in Relesys app required navigating multiple modules or sorting through 20+ global search results—too slow for real-time work.
Despite managers uploading extensive company information, employees used the app as a mandatory after-shift tool for news, social updates, and training rather than an on-shift support tool.
Project Goal
Increase on-shift engagement with a dynamic AI tool available for quick user support at all times.
Research
Quarterly CAB (Customer Advisory Board) meetings revealed consistent client requests for faster access to product and company information. Despite years of improving global search, it remained complex—returning extensive results requiring manual review.
When AI tools emerged in competitor products, clients began requesting AI-powered support for frontline workers. However, feedback was split: some clients were excited about AI possibilities, while others expressed serious concerns about data handling and security.
To maintain enterprise client retention and quickly demonstrate AI capabilities, we fast-tracked to beta. The discovery phase was condensed to targeted follow-up interviews with CAB members, leveraging existing insights rather than extensive new research.
Challenge
- Entry point placement: Determining where AI should live to ensure visibility and quick access from any module without disrupting user experience
- Technical uncertainty: Designing solutions while developers explored AI implementation options
- Data privacy & security: Handling GDPR compliance and addressing company fears about AI accessing all internal information
- Cross-module intelligence: Ensuring AI could surface information across training, tasks, operations, library, and shifts
Solution
Navigation Redesign for Mobile-First Access
The most critical decision was determining the AI entry point. After exploring floating bubbles and module-specific placements, I redesigned the bottom navigation—the first change to core navigation since product launch. This ensured one-tap access from anywhere in the app while maintaining mobile-first usability for on-the-go, one-handed interaction.
Key design decisions:
- Replaced notification icon with AI chat in bottom nav (moved notifications to top bar)
- Created onboarding modal to educate existing users about the change
- Designed for quick, on-the-go interactions with voice-first priority
AI Integration Design
Designed conversational interface optimized for frontline workers:
- Voice input with real-time transcription for hands-free queries during customer service
- Quick prompts displaying recent common questions for faster access
- Intelligent responses that provide answers plus direct links to relevant modules
- File sourcing to surface documents, policies, and training materials
- Branded personality matching Relesys tone, customizable by management (name, tone of voice, branding)
Feedback System
Created structured feedback mechanism for continuous AI improvement:
- Simple rating options (thumbs up/down, copy, regenerate)
- Categorized feedback (Irrelevant, Repetitive, Result Not Found, Other)
- Optional text feedback (300 char max) with privacy assurance
- Visibility for both Relesys and client management teams
Validation & Feedback
Beta testing with retail partners (Netto, Specsavers) showed positive frontline adoption through quick prototype testing. Management reported significant increase in on-shift app engagement, validating the shift from mandatory after-shift tool to active work support.
The AI assistant transformed information retrieval from multi-step navigation to single-query responses.
Other Projects
See Project
→
See Project
→
See Project
→
Let’s chat about how I can add value to your team.
CONTACT
+48 793-692-909
designbyczajka@gmail.com
SOCIAL