InsightsHR & LearnNow

Created an AI learning assistant to help HR identify skill gaps and guide personalized development, enhancing employee retention.

ROLE

Lead Product Designer

SCOPE

AI-driven web UX

TIMELINE

Q1 2023

SUMMARY

What if we leverage AI to bridge aspirations and opportunity?

Employees struggle to map aspirations to clear learning paths, while HR lacks visibility into role-ready internal talent. This creates friction in both upskilling and internal hiring.

We set out to bridge this gap by building an AI-driven system that aligns employee goals with skill development and enables HR to identify role-ready candidates from within.

The Research

I conducted 10+ user interviews to understand challenges. Employees often struggled to identify which role they should grow into or what skills they would need. HR teams faced inconsistent guidance due to manual tracking and limited visibility into employee progress, causing learning momentum to drop.

The Solution

Designed a guided AI learning assistant that helps HR identify skill gaps and deliver personalized development paths, so employees can confidently grow with structured next steps.

PROBLEM

Employees want to upskill but lack clarity on what to learn and how to grow, while HR teams struggle to provide personalized guidance at scale.

OUTCOME

Unlocking growth and visibility

Quick onboarding

Workday Integration auto-fills employee details to speed up onboarding.
Upload resumes for quick profile setup and a seamless experience.
Capture employee goals to tailor growth paths.
Personalized Learning suggests courses for continuous upskilling.

Insightful dashboard

Track current and overdue openings to help HR prioritize hiring.
Smart Recommendations suggest matches to speed up shortlisting.
Skill Gap Insights on key skill gaps for hiring and upskilling.
Chat Prompts provide quick insights via guided chatbot interactions.

Seamless access

Use chatbots to centralize employee data and improve efficiency.
Talent Matching finds suitable candidates for faster hiring.
Instantly access employee data and resumes to streamline evaluation.
Guidance on courses and paths for employee growth.

DESIGN PRINCIPLES

Responsible AI by design

To keep design decisions aligned with the product vision and grounded in responsible AI, I defined a set of guiding principles.

Transparent recommendations

Ensure users understand how and why learning paths or candidates are suggested.

User control over AI outputs

Allow users to refine inputs and override recommendations to reflect their intent and context.

Balanced inputs to reduce bias

Combine system data with user-defined inputs to avoid over-reliance on historical or incomplete information.

AI as guidance, not automation

Design AI to support decision-making while keeping users in control of final actions.

FINAL DESIGNS

Getting started without friction

Onboarding minimizes friction through Workday integration and resume upload, enabling quick profile setup with minimal input. Users can review imported data and add aspirational skills, ensuring recommendations aren’t solely driven by historical data. This balance of automation and control improves the accuracy of personalized learning paths.

From goals to learning paths

Employees often felt lost in traditional learning platforms, which lacked flexibility around preferences and nuanced queries. An AI assistant guides discovery by surfacing relevant courses and generating personalized learning paths, grounding recommendations in user inputs like skills and goals to keep them transparent and trustworthy.

Making workforce insights actionable

HR managers relied on spreadsheets that didn’t scale with growing teams and skill demands. Feedback highlighted the need for immediate visibility into skill demand and role alignment. A dashboard surfaces key insights upfront, making data clear and actionable enabling faster identification of gaps and more confident hiring decisions.

Identifying the right talent faster

Evaluating candidates meant stitching together multiple sources, making it hard to assess fit efficiently. A unified, AI-assisted workflow brings evaluation into one interface, surfacing clear matching criteria for transparency. This reduces evaluation to a guided interaction, enabling faster decisions while preserving human oversight.

RETROSPECTIVE

What I learned from this project

Designing for actionable insight

While designing the HR dashboard, I learned the importance of understanding how users interpret data. This pushed me to focus on surfacing only what was critical and ensuring insights were immediately actionable.

Driving clarity through collaboration

Working closely with developers, product, and strategy teams helped refine both the problem and the solution. Clear annotations, structured discussions, and continuous feedback loops were key in shaping a cohesive and effective product.

Increased usage by 67% through a UX refresh

Reduced underwriting cycle time by 60% through an insight-driven platform

Resume

srivats.rao@gmail.com