00UX Case Study · 2025

Skillsoft · Enterprise Learning Platform

Intelligence-Driven
Learning Management
Dashboard

Designing a unified, AI-augmented dashboard for enterprise L&D teams — turning siloed learning data into clear, actionable insight for 50,000+ users across global organisations.

Role

Principal Product Designer

Company

Skillsoft

Timeline

2025 · Ongoing

Methods

Research · Sprint · Prototyping

SKILLSOFT

Overview
Skill Gaps
Risk Alerts
Learning Paths
Reports

Active Learners

1,284

+12%

Completions

347

+8%

Avg Hours/User

4.2h

-3%

At-Risk

23

flag

Learning Activity — Last 30 Days

Skill Coverage

Cloud72%
Leadership45%
Security88%

⚑ AT RISK (3)

Arjun K.

12d idle

Meera R.

9d idle

Dev S.

7d idle

SEND NUDGE

Learning Management Dashboard · Figma Prototype

01Project Snapshot

Challenge

L&D managers had no unified view of learner progress, skill gaps, or team engagement — data was siloed across multiple modules with no actionable layer.

Goal

Design an intelligence-driven dashboard that surfaces the right insights at the right time — reducing time-to-decision for L&D and HR teams.

Users

L&D Managers, HR Admins, Department Heads, and Individual Learners across large enterprise organisations.

Outcome

A unified, AI-augmented dashboard giving real-time visibility into learning KPIs, skill development, and proactive re-engagement nudges.

02Solution Design

Four Modules,
One Intelligent Dashboard

Each module was designed around a specific decision — not a data type. The question driving every design choice was: what does the user need to do next, and how do we make that obvious?

01Learning Overview

Problem

Managers had no at-a-glance summary — every insight required drilling into separate reports.

User Insight

"I need to open 4 different tabs just to see what's going on with my team's learning this week."

Solution

A unified summary card showing active learners, course completions, hours logged, and engagement trends — all in one view with weekly/monthly toggles and team vs. individual drill-down.

Active learner countCompletion trend lineHours loggedWeek-over-week delta
02Skill Gap Intelligence

Problem

No visibility into which skills were underdeveloped across teams — L&D had to manually analyse performance data to find gaps.

User Insight

"We had a major gap in cloud skills for 6 months before anyone noticed. We needed something that would flag it automatically."

Solution

AI-powered skill gap heatmap that surfaces underdeveloped skills by team, role, and department. Integrates with role frameworks to contextualise gaps against expected proficiency levels.

Skill heatmap by teamRole-based benchmarksGap severity scoringRecommended courses
03Engagement Risk Alerts

Problem

Disengaged learners were only identified reactively — after significant drop-off had already occurred.

User Insight

"By the time I know someone has stopped learning, they've already been inactive for 3 weeks. An early signal would change everything."

Solution

Proactive AI-driven alert system that flags learners at risk of disengagement 7–14 days before predicted drop-off. Managers receive nudge suggestions tailored to each learner's history.

Risk score per learner7–14 day early warningManager nudge templatesRe-engagement tracking
04Personalised Learning Paths

Problem

Learning assignments were one-size-fits-all — not connected to individual role development or career aspirations.

User Insight

"I assigned the same courses to my whole team because building individual paths takes hours I don't have."

Solution

AI-generated learning path recommendations based on current skill profile, role trajectory, and business priorities. Managers can review and approve with one click — no manual curation required.

AI-generated path draftsOne-click manager approvalCareer goal alignmentAuto-updated on completion
03Impact & Outcomes

From Data Overload
to Decisive Action

50K+

Enterprise Users

Dashboard deployed across Skillsoft's enterprise customer base.

Faster L&D Reporting

Time to compile weekly learning reports reduced from hours to minutes.

40%

Re-engagement Rate

Learners flagged by risk alerts who completed their course after intervention.

6

Insight Modules

Distinct decision-support areas — overview, skills, risk, paths, ROI, admin.

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