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Case Study · 2024

Enterprise LMS

AI & Gamification-Enhanced Learning Management System

B2B SaaSGen AIGamification
RoleHead of Product & Operations
Users300,000+ enterprise
Timeline12 months to launch
Revenue Growth67% YoY

Results at a Glance

16% → 35%
Monthly Active Users
0.3h → 1.1h
Avg Learning Hours
67%
Revenue Growth YoY

Low Engagement on a Legacy Platform

ContextCorporate LMSs faced chronically low engagement driven by outdated interfaces and no personalisation.
AudienceHR departments, executives, and employees — 70% under 35 and accustomed to consumer-grade UX.
GoalIncrease monthly active users and average learning hours to unlock the next revenue tier.

Research-Led Prioritisation

ResearchUser surveys, NPS data, server metrics, and competitor analysis to identify drop-off points.
PrioritisationRICE framework for feature scoring; MoSCoW for backlog management across three release cycles.
ToolingMiro for collaborative workshops, Jira for sprint tracking and stakeholder visibility.

What We Shipped

Gamification

Leaderboards, storylines, points, and rewards to drive daily habit formation.

AI Integration

Custom RAG models for role-specific learning recommendations and content surfacing.

Social Elements

Interactive activity walls and peer learning communities to reinforce completion.

Enhanced UX

Intuitive dashboard redesign and simplified learning paths reducing time-to-content.

Development Approach

MethodologyAgile with Scrum framework, two-week sprints, and fortnightly stakeholder demos.
PartnershipsExternal specialists engaged for gamification engine and AI infrastructure to accelerate delivery.
CollaborationCross-functional alignment across product, engineering, HR, and executive stakeholders.

What I Took Away

Balance Innovation

Shipped ambitious AI features while keeping the core learning experience stable for 300k users.

Cost vs Performance

Optimised AI integration calls to control inference costs without degrading recommendation quality.

Scalable Architecture

Designed for enterprise headroom — the platform handled 3× peak load on launch week without incident.