Every Silent Week Loses Talent
Reimagining workforce intelligence through predictive engagement systems and proactive decision support.
Domain
Information Technology
Tools used
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Figma Make
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RFP document
Company
Leading global technology research and advisory firm
Duration
3 weeks, 2025
Overview
Employees rarely decide to leave overnight.
Disengagement often begins quietly in missed one-on-ones, declining participation, shifting sentiment, or subtle changes in performance. These signals exist across HR systems, surveys, and manager conversations, but they're rarely connected early enough to make a difference.
This concept explored how AI-assisted workforce intelligence could help organisations identify these patterns sooner, enabling leaders to move from reactive to proactive HR processes for people decisions.
What was the problem?
Imagine a manager preparing for a quarterly review.
Performance appears stable, projects are progressing and attendance looks normal.
But hidden across surveys, manager notes, and collaboration data are subtle signs that an employee has slowly disengaged. By the time those signals become visible, the employee has already started looking elsewhere.
The challenge wasn't the lack of information. It was connecting the right signals before they became retention problems.
This created challenges such as:​
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Fragmented employee insights across multiple HR systems
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Limited visibility into workforce health
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Delayed intervention and follow-ups
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Reactive decision-making instead of proactive engagement
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Increased risk of burnout and employee attrition​​​
What was the design opportunity?
​Every employee has a story long before they submit a resignation.
The opportunity was to help organizations recognize that story earlier. Instead of waiting for annual reviews or exit interviews, the platform could connect everyday interactions into meaningful insights that empower leaders to act with confidence and empathy.
The experience focused on:​
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Bringing workforce signals together.
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Detecting engagement patterns early.
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Simplifying manager interventions.
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Supporting AI-assisted decision making.
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Creating a healthier, more connected workplace.
What did I do?
I proposed designing a connected workforce intelligence experience that helped leaders move from reactive reporting to proactive people decisions by simplifying complex employee insights and introducing AI-assisted decision support.
My contributions included:​
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Mapped end-to-end employee engagement and manager workflows.
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Identified opportunities for AI-assisted intervention and decision support.
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Simplified workforce intelligence through intuitive information architecture.
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Designed role-based experiences for managers, HR teams, and leadership.
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Defined future-state workflows that connected employee signals into actionable insights.
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Created an Art of the Possible vision for proactive workforce engagement.
Experience Vision
Imagine opening a workspace that highlights more than metrics.
Managers receive early notifications when engagement patterns begin to change. AI connects survey responses, manager feedback, collaboration trends, and operational signals into a single, explainable view.
Instead of waiting for quarterly reports or manual intervention or any bias, leaders can understand workforce health continuously and take meaningful action when it matters most.
The platform introduced:
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AI-assisted workforce insights
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Predictive engagement monitoring
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Guided intervention workflows
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Role-based dashboards for leadership teams
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Unified sourcing and explainable recommendations
The experience was designed to feel proactive, transparent, and human-centered.
The platform aimed to shift sourcing workflows from reactive research consumption toward proactive decision enablement.
Design Opportunity
The opportunity wasn't to build another HR dashboard.
It was to create a connected workforce intelligence experience that helps leaders understand people before they become numbers.
The experience aimed to:
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Unify employee signals into one connected view
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Support timely, people-first conversations
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Surface early indicators of disengagement
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Simplify intervention planning for managers
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Build confidence through explainable AI insights
UX Thinking
People decisions require more than data. They require context, trust, and clarity. The design focused on:
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Simplifying complex workforce information
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Supporting thoughtful, people-first decisions
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Reducing cognitive effort for stakeholders
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​Balancing organizational goals with employee wellbeing
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​Making AI recommendations transparent
Every interaction was designed to answer three simple questions:
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Who needs attention?
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Why does it matter?
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What should happen next?
Special attention was given to reducing friction between research discovery and business action.
What Makes This Interesting
Most HR platforms help organizations understand what has already happened.
This concept explored how UX can help leaders understand what might happen next.
By connecting workforce signals, AI-assisted insights, and human-centered workflows, the platform shifts workforce management from reactive reporting to proactive engagement.
Rather than designing another HR dashboard, the experience explored how better systems thinking can strengthen employee relationships, improve leadership confidence, and create healthier workplaces.
What's Next
The future vision extends beyond engagement dashboards toward an intelligent workforce ecosystem includes:
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Workforce health forecasting
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Collaboration intelligence
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​AI coaching assistants for managers
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​​Personalized engagement recommendations
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​Leadership readiness insights
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​​Organisation-wide workforce intelligence
The long-term vision is to help organizations recognize change earlier, support employees more effectively, and build healthier, more resilient teams.
This was a internal initiative as part of internal AI Hackathon.
It is currently part of under-discussion for internal seed funding for further product development