HR Concierge

HR Concierge

We developed the HR Concierge, an AI-powered assistant that enables Nedbank staff members to complete work-related tasks through natural language commands, allowing employees to simply type requests like, "Book 3 days leave in March" or "Download my April payslip from 2021". Instead of navigating through complex portal interfaces where users struggle to find features despite well-organized categorization due to feature overload, this AI assistant makes task completion significantly easier by understanding natural language requests.

We developed the HR Concierge, an AI-powered assistant that enables Nedbank staff members to complete work-related tasks through natural language commands, allowing employees to simply type requests like, "Book 3 days leave in March" or "Download my April payslip from 2021". Instead of navigating through complex portal interfaces where users struggle to find features despite well-organized categorization due to feature overload, this AI assistant makes task completion significantly easier by understanding natural language requests.

We developed the HR Concierge, an AI-powered assistant that enables Nedbank staff members to complete work-related tasks through natural language commands, allowing employees to simply type requests like, "Book 3 days leave in March" or "Download my April payslip from 2021". Instead of navigating through complex portal interfaces where users struggle to find features despite well-organized categorization due to feature overload, this AI assistant makes task completion significantly easier by understanding natural language requests.

Team

Aaron Teng

Role

UX Design
UI Design
Research

Tools

Figma

Year

2024

Discover

Discover

Discover

The Starting Point

Following the launch of the new Employee Portal, we began monitoring its adoption and effectiveness. Despite successfully consolidating multiple platforms into one hub, concerning feedback emerged through multiple channels.

Group Business Services (GBS) reported a high volume of support requests from employees who couldn't find what they needed.

The issue wasn't the consolidation itself - it was findability within the consolidated experience.

Research Approach

Rather than relying on a single data source, we gathered insights through:

  • GBS ticket analysis - Reviewing support requests to identify patterns in employee confusion and pain points.


  • HR department feedback - Direct conversations with HR team members who interface with employees daily.


  • Informal feedback channels - Listening to concerns shared through the "corporate grapevine" to capture unfiltered employee sentiment.

Key Insights

The Paradox of Success

The portal consolidation achieved its goal - employees no longer needed to visit multiple systems. But this success created a new problem: feature density. Every feature was essential, and stakeholders fought for dashboard prominence, creating pressure to surface everything upfront and overwhelming the interface.

Both new hires and veteran employees struggled equally to locate features - this wasn't a training issue, it was a findability problem - the portal had become too feature-dense to navigate effectively. Even our streamlined Information Architecture couldn't solve the challenge of making dozens of features easily discoverable to employees, especially when stakeholders wanted their features front and center.

Industry Context

This challenge wasn't unique to Nedbank. In 2009, Gartner introduced the concept of the "lean portal" because traditional enterprise portals had become bloated with features, making them difficult to deploy and maintain (Gartner (2009) - "Lean Portal" concept, Enterprise Portal - Wikipedia). Research shows that most enterprise portals are bloated and complex, with users becoming overwhelmed by dense navigation that was never properly planned (Projekt202 - "How to Start Building Your Next-Gen Enterprise Portal").

The Core Insight

We'd solved the fragmentation issue but created a new challenge that required helping employees find features quickly without having them hunt through the feature rich interface.

Define

Define

Define

The Design Challenge

Our discovery revealed a fundamental tension: employees needed comprehensive functionality in one place, but that comprehensiveness made the portal overwhelming. Traditional navigation improvements couldn't solve a problem rooted in feature density itself.

How might we help employees quickly access the features they need within a necessarily feature-rich portal, without adding to navigation complexity?

Users & Constraints

We needed a universal solution for all Nedbank employees, from tellers to executives, that could be built within SAP's technical constraints.

Success Criteria

  • Reduce time employees spend searching for features and completing routine tasks

  • Decrease volume of GBS support tickets related to navigation and findability

  • Improve employee sentiment toward internal tools and systems.

Problem Statement

Nedbank employees struggle to efficiently complete routine tasks because the portal's comprehensive features create overwhelming navigation complexity, affecting productivity and employee sentiment.

Ideate

Building on What Worked

The existing portal already had a search feature that showed promise - users could search for employees and use simple commands like "Give badge to" to navigate directly to the Recognition page.

However, this capability was limited and underutilized. It couldn't search for features themselves, and most employees didn't know these shortcuts existed.

This existing functionality revealed an important insight: employees wanted to tell the system what they needed to do, not navigate to find where to do it.

Design Research & Inspiration

To address the findability challenge, I realized we needed solutions for two distinct user scenarios: employees who needed to quickly find occasional features, and those who wanted their frequently-used tools readily accessible. This led me to explore two complementary solution areas: intelligent search and dashboard personalization.

Research: Intelligent Search & Command Interfaces

To understand how search could become a primary navigation method, I examined products that use search as more than just a lookup tool:

  • Slack's command palette (Cmd+K) allows users to search for channels, people, and trigger actions in one unified interface

    Notion's quick find surfaces pages and displays modular previews without requiring users to leave search


  • Spotlight on macOS demonstrates how natural language queries can surface applications, files, and system actions


  • UniJump provides a universal search interface that lets users quickly navigate between different web apps and tools from a single command palette

Key insight: Search should enable action, not just discovery. Users should be able to complete tasks from search results without navigating to full feature pages.

Research: Dashboard Personalization & Customization

To understand how users could curate their own experience, I looked at products that let users choose which tools and features are most visible:

  • iOS home screen editing demonstrates the "wiggle mode" pattern where a single action reveals deletion controls across all items, letting users quickly remove unwanted apps and customize their space


  • Google Analytics and Tableau dashboards allow users to add and remove metric cards and data visualizations, ensuring each user sees only the tools relevant to their work


  • Microsoft Teams sidebar lets users pin and unpin apps and tools they use frequently, creating a personalized workspace within the platform

Key insight: The best customization patterns use clear edit modes where users can quickly remove what they don't need and easily add back relevant features. This makes dashboard curation feel manageable rather than overwhelming, especially in feature-rich enterprise environments.

Exploring Solutions

Based on this research, we explored two complementary approaches: intelligent search for occasional needs and discovery, and customizable dashboards for frequent tasks and efficiency.

1. Customizable Dashboard

We recognized early that not all employees needed all features visible at once. A customizable dashboard would allow users to curate their own experience - pinning frequently-used features and removing irrelevant ones.

2. Intelligent Search Assistant

Building on the existing search functionality, we explored expanding it to become a true navigation alternative - one that could help employees accomplish tasks directly without navigating through menus.

The HR Concierge Solution

We developed both approaches into an integrated solution called the HR Concierge - an intelligent search assistant paired with customizable dashboards. This dual approach ensures employees can easily access anything they need without getting lost in feature bloat.

Prototype

Bringing the Solution to Life

I created a high-fidelity interactive prototype demonstrating both the customizable dashboard and HR Concierge search functionality.

Dashboard Customization

A sticky toolbar in the top right corner houses a dashboard icon that triggers edit mode. When activated, X icons appear on all feature cards, allowing users to quickly remove what they don't need. Simultaneously, a feature drawer slides up from the bottom, displaying all available features with search functionality. Users can find and pin the specific features relevant to their work, giving them full control over their workspace.

The HR Concierge Search

The HR Concierge allows employees to describe what they need in plain language. Prompts like "Book leave" or "Download payslip from April 2023" instantly surface the relevant feature in a modular format beneath the search bar. Users can complete tasks directly within this modular view or click through to the full feature page when needed.

Key Design Decisions:

  • Card-based dashboard for clear visual hierarchy

  • iOS-inspired edit mode with X icons for intuitive deletion

  • Searchable feature drawer for easy discovery and pinning

  • Full-page search experience to eliminate distractions

  • Modular results enable direct action without navigation

  • Natural language understanding removes the need to know where features live

Test (Validation)

Stakeholder Validation

The HR Concierge was presented to key stakeholders, walking them through the dual approach of intelligent search and customizable dashboards.

The presentation demonstrated how employees could use natural language to find features quickly, and how personalization would reduce dashboard clutter.

Stakeholders responded positively to the concept, particularly the natural language search capability that would reduce support tickets to GBS. The customizable dashboard approach also addressed their concerns about feature visibility without requiring all features to compete for prime dashboard real estate.

Limited User Testing

Due to organizational constraints, formal user testing wasn't conducted. However, brief informal sessions with employees validated key assumptions about the findability problem and the appeal of a search-first approach.

Project Status

Before formal testing and implementation could proceed, the department was placed on a project freeze due to internal restructuring. While the HR Concierge didn't move forward, the design exploration provided valuable insights into solving feature density challenges in enterprise portals.

Impact

While the HR Concierge was not implemented due to organizational constraints, the design work demonstrated a viable approach to solving feature density challenges in enterprise portals. The concept gained stakeholder support and validated that intelligent search paired with personalization could address the findability crisis without sacrificing feature comprehensiveness.

Reflections

Insights, learnings and key takeaways

This project reinforced that feature density challenges aren't unique to Nedbank - they plague enterprise portals across industries.

While the solution gained stakeholder support, organizational constraints prevented implementation, teaching me that even strong designs must navigate budget, timing, and political realities.

I would have loved to conduct formal user testing and present to decision-makers with greater authority. This experience highlighted the importance of identifying and engaging the right stakeholders early, not just designing well.

The project also opened my eyes to AI's potential in enterprise tools. Natural language search that enables direct actions represents a significant leap in enterprise UX - an area I'm excited to explore in future work.

Despite not being implemented, this project deepened my understanding of solving complex navigation challenges in feature-dense environments.

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