Monash University logo with shield crest and university name

Deep Dossier

Unifying learning and teaching through a governed, system-led platform

Deep Monash Dossier Structure

For every major section in your public case study, add:

  1. What the research already told us

  2. What I synthesised

  3. What decision this led to

  4. What risk it resolved

  5. Artefact anchor

This creates structured recall.

Operating Environment Research Baseline
(Pre-existing)

Source: 200-page institutional research document
Inputs included:

  • Teacher interviews

  • Student surveys

  • Support ticket analysis

  • LMS usage analytics

  • Faculty variation mapping

  • Governance concerns

Monash University’s Moodle environment evolved independently across faculties. Over time, this produced inconsistent structures, increased decision load for teaching staff, and uneven student experiences. Variation in layouts, terminology, and navigation limited scalability and made governance difficult. This work established a single, system-led learning model designed to operate consistently across a complex university environment.

The governed model operated within a platform supporting 86,558 students, approximately 9,000 academic staff, and more than 10,000 active units.

At a glance

System adoption: University-wide rollout across all faculties

Impact: Replaced faculty-specific unit layouts with one governed core system

Learning standard: Shared learning journey adopted institution-wide


Operating environment

Context

  • Organisation: Monash University

  • Environment: Enterprise LMS (Moodle)

  • Users: Teaching staff, students, faculty administrators

  • Role: Lead UX Designer

  • Timeframe: 6-month delivery window

Constraints

  • Existing LMS platform and data model

  • Faculty autonomy and legacy patterns

  • Governance and rollout timelines

What did the research actually say?

The research consistently showed structural inconsistency as the primary friction driver. Across faculties, navigation placement, terminology, and assessment positioning varied. That variation created orientation cost for students and setup cost for teachers.

Extracted Themes (Explicit)

You need to articulate these cleanly:

Theme 1 – Structural inconsistency
Different layouts per faculty increased orientation time.

Theme 2 – Assessment discoverability
Students struggled to locate requirements and deadlines.

Theme 3 – Decision fatigue for teachers
Unit setup required repeated layout decisions.

Theme 4 – Lack of scalable governance
No shared baseline pattern across faculties.

Theme 5 – Accessibility inconsistency
Templates did not guarantee compliance.

Add space under each where you later paste excerpts or screenshots from the research doc.

Problem Reframing

This was not an IA cleanup.

It was:

  • Distributed ownership without structural governance

  • Pattern variance at institutional scale

  • Cognitive load created by layout disorder

Visual 1 – Audit collage

Evidence anchor
→ proves structural variance

Decision it supports
→ standardised weekly module pattern

Risk addressed
→ Student orientation cost

Visual 2 – Journey

Evidence
→ proves repeated friction moments

Decision it supports
→ standardised weekly module pattern

Risk addressed
→ Student orientation cost

Visual 3 - LMS comparison

Evidence
→ proves pattern reuse in large platforms

Decision it supports
→ Adopt system-led model

Risk addressed
→ Reinventing per faculty

Visual 4 - Decison logic

Evidence
→ proves explored alternatives

Decision It Supports
→ chose governed template over rigid standardisation

Risk Addressed
→ Loss of flexibility

Fragmentation as a system problem

PART 1

Structural variation at institutional scale

Monash’s Moodle environment evolved faculty by faculty. Each area owned its own unit layouts, navigation patterns, and terminology.

Over time, this created wide structural variation across units. Students moving between subjects encountered different ways of finding learning materials, assessments, and progress indicators. Teaching staff rebuilt structures manually, with no shared baseline to guide consistency.

The friction was not driven by course content.
It was driven by structure.

Observed conditions included:

  • inconsistent navigation and hierarchy

  • learning and assessment content appearing in different locations

  • differing terminology across faculties

  • no shared structural pattern to support scale or governance

A collage of six online educational platform pages or presentations related to university courses and academic content.

Visual 1 - Independent faculty layouts produced inconsistent navigation, terminology, and content placement across units.

Where the experience broke for students

The same friction points appeared repeatedly across disciplines. Students struggled to locate weekly learning, understand assessment requirements, and track progress. These issues were identified in prior institutional research and confirmed through unit audits and stakeholder walkthroughs.

The pattern pointed to a systemic issue rather than isolated usability defects.

Infographic illustrating a disorganized learning journey, including steps: navigate to unit, find weekly learning, locate assessment, submit work, check progress, with issues labeled in red

Visual 2 - A simplified student journey highlighting repeated friction caused by fragmented structure.

Insight

The breakdown was structural, not visual or discipline-specific.

Learning from large-scale platforms

Internal exemplars and external LMS platforms were reviewed to understand how large institutions maintain coherence at scale.

Key observations:

  • pattern recognition supports faster orientation

  • pattern reuse reduces cognitive load

  • safe defaults support staff while enabling governance

  • consistency does not constrain pedagogy

A comparison chart of LMS platforms

Visual 3 - Fragmented versus governed learning portals.

Choosing a system-led approach

Addressing scale required a shift from designing individual pages to designing a system.

The strategy focused on a centrally governed structure that could operate consistently across faculties while allowing flexibility within defined boundaries.

Strategic intent:

  • standardise core unit structures

  • prioritise predictable placement over visual variation

  • constrain customisation to defined zones

Decision matrix

Visual 4 - Decision logic comparing local layouts, rigid standardisation, and a governed template model.

Visual 5 – Before/After

Evidence
→ proves structural shift

Decision it supports
→ Enforce consistent placement

Risk addressed
→ Competing navigation

Visual 6 – Unit structure

Evidence
→ proves structural shift

Decision it supports
→ Enforce consistent placement

Risk addressed
→ Competing navigation

Designing a governed, modular learning system

PART 2

Establishing a shared structural foundation

The response was not a new set of pages.
It was a modular system providing a repeatable foundation across faculties.

A governed template established consistent placement for learning content, assessments, and progress indicators. Units inherited this structure rather than rebuilding it.

Comparison of before and after navigation on Monash LMS

Visual 5 - A single governed template replaced faculty-specific layouts, reducing competing navigation patterns while preserving flexibility for unit content.

How the system operates

The template expressed a complete unit structure:

  • a consistent homepage

  • predictable weekly learning modules

  • dedicated assessment zones

  • clear orientation and progress cues

This reduced variation without constraining teaching approach.

Unified unit structure showing how the site is divided structurally

Visual 6 - End-to-end unit structure operating as a single system.

System intent

The system was designed to:

  • reduce setup effort for teaching staff

  • improve student orientation across units

  • support accessibility, governance, and long-term maintainability

Predictability was treated as a design requirement.

Proving flexibility across faculties

Templates were applied across multiple disciplines to validate use beyond a single context. The structural framework remained constant while content varied by faculty, delivery mode, and pedagogy.

Wireframes showing tne system with multiple teaching models

Visual 7 - Wireframes showing how a single governed structure supports discipline-specific content without fragmenting the student experience.

Establishing a shared learning journey

A reusable learning journey replaced inconsistent terms such as “before, during, after class”. The model clarified how students progress through a unit and was adopted as a university-wide standard.

Visual 8 - A short explainer video clarifies the stages of the shared learning journey and the role of task trackers in supporting progress across a unit.

Decision

Establish a single learning journey as an institutional standard.

Testing and iteration

Templates were refined through structured feedback sessions with students and teaching staff and validated against real course scenarios. Testing focused on cross-discipline suitability and accessibility.

Iteration of Monash University unit dashboard after user feedback

Visual 9 - Template and dashboard refinements informed by structured feedback from teaching staff and students.

Constraints and trade-offs

The initial brief directed exploration away from Monash’s existing visual system. Late in delivery, a mandate required full alignment with central brand standards.

Visuals were updated to meet this requirement while preserving structure and timelines.

Impact and evidence

PART 3

Platform-level impact

Students navigated units using consistent structural cues regardless of faculty. Teaching staff worked from a governed baseline rather than rebuilding layouts. Moodle shifted from local variation to a platform-level system.

Impact signals:

  • structural consistency across faculties

  • reduced time-to-publish using safe defaults

  • recognised internally as a benchmark for the Digital Learning Uplift

Institutional evidence

Feedback from university leadership and product stakeholders confirms platform-level scalability and governance.

Institutional Scale

Your design will be reproduced EVERYWHERE. You put your artistry into a dull place and it is so much better for it.

Professor Allie Clemans
Acting Deputy Vice-Chancellor (Education), Monash University

Platform Transformation

Your efforts have gone above and beyond achieving our goal of making Moodle a contemporary platform that redefines learning and teaching.

Trevor Woods
Manager, Educational Platforms,
Monash University

Product Quality

Lisa has a unique ability to blend creativity with user-centric design principles, prioritising the end user’s experience.

Ankur Adrawal
Product Owner, LMS Redesign, Monash University

Outcome

The system was recognised as scalable and institution-ready.

Reflection: designing for scale

Consistency functions as a service in large institutions. Shared structures reduced friction while enabling governance and long-term evolution. The most durable outcome was not a single interface, but a system designed to scale.

Designed for governance and growth' showing three sections: Core system, Governance, and Evolution.

Visual 10 - Forward view of the learning management system, showing how a governed core supports ongoing evolution, new teaching models, and platform updates without structural redesign.