Montessori BeginningsEarly childhood educationVictoria
Designing twelve local journeys as one organisation.
Lucid Asia is using analytics, search behaviour and audience research to rebuild one national brochure as a coherent discovery system supporting twelve local childcare decisions.
- Project
- Early childhood education
- Location
- Victoria, AU
- Period
- 2026–
- Status
- Work in progress
- Evidence
- Qualified
- Disciplines
- Information architecture, Local discovery, Content system
In brief
Turn one national brochure into twelve useful local journeys.
One national page could not serve twelve local childcare decisions. Recorded analytics, Search Console evidence and audience research shaped an architecture of dedicated centre pages, a centre finder and supporting explanations for Montessori, age groups, subsidies and common questions.
The project remains in progress. The evidence explains why the system is being rebuilt; post-launch effects remain hypotheses until the new structure is live and measured. The work applies the wider Lucid Asia practice to owned discovery across multiple locations.
The visible problem
One national page, asked to do twelve local jobs.
A single national page attempted to serve twelve centres and several kinds of parent intent at once. It worked as a brochure, but not as a way for a specific family to find and understand a specific centre near them.
This case is in progress. What follows separates what the evidence already shows from what the rebuild is expected — but not yet proven — to achieve.
Diagnostic evidence is verified. Expected effects are stated separately, further down, as hypotheses.
The deeper problem
A brochure cannot hold twelve local decisions.
The visible problem was one page. The deeper problem was a system with no local relevance, inconsistent organisational structure, thin search visibility, no reusable centre template, little educational explanation, scattered funding information and no centre-specific discovery.
Solving it meant designing an organisation online, not decorating a page.
Discovery evidence
The demand was already arriving — and landing nowhere useful.
- 95%+
- Of recorded sessions landed on the homepage.
- ~20×
- Organic visitors engaged versus paid-social, at similar traffic volume.
- 162,314
- Search Console impressions.
- 2,172
- Clicks, at a 1.34% click-through rate.
- 25.6
- Average search position.
- Local intent
- Centre-specific search demand despite no dedicated centre pages.
This is diagnostic evidence of existing demand, not a claim of performance improvement. Centre-specific searches showed real intent despite the absence of centre pages.
Four parent states
What a parent is actually trying to do.
Rather than decorative personas, the system was organised around four practical states — each one shaping structure and content.
Believer — already committed to Montessori; needs the nearest centre, fast. Shapes the centre finder and local pages.
Researcher — trying to understand what the Montessori approach means. Shapes explanatory content and citations.
Comparer — weighing this centre against local alternatives. Shapes centre detail and age-group information.
Subsidy Anxious — uncertain about cost, Child Care Subsidy and Free Kinder. Shapes earlier, clearer funding information.
Architecture
Twelve local journeys within one organisation.
One organisation, read from the top down: an organisation homepage, twelve local centre pages, and the supporting content each parent state needs.
Tier 01 — Organisation
- Organisation homepage
Tier 02 — Local discovery
- 12 dedicated centre pages
One shared structure, with local information for each centre
Tier 03 — Decision support
- Montessori explained
- Age groups
- Child Care Subsidy & Free Kinder
- FAQs
- Research citations
Local relevance without twelve disconnected websites: shared structure, consistent data, one organisation.
Search-led structure
Demand shaped the information architecture.
- Local search intent
- Location pages
- Centre finder
- Enquiry path
Recorded search demand came first; the page structure was drawn to meet it, rather than imposing a template and hoping demand would follow.
Centre finder & map
Decisions worth recording.
A few judgement calls defined the system more than any single page did.
Rejected abstract map concepts that did not help parents understand real distance.
Chose a suburb-search-driven directory with a real map.
Avoided state-wide clickable pins, which created weak mobile interaction.
Kept local relevance without turning the organisation into twelve disconnected websites.
Structured discovery
Structured to be found, understood and trusted.
One source of content, expressed for parents, for search engines and for answer engines — without treating it as a checklist of technical services.
Tier 01 — For parents
- Location pages
- Montessori explained
- Age-group content
- Subsidy & funding
- FAQs
Tier 02 — For trust
- Research citations
- Internal linking
- Consolidated content
Tier 03 — For discovery
- Structured data
- Search-engine discovery
- Answer & AI-assisted discovery
One set of FAQs drives both the visible answers a parent reads and the machine-readable schema an answer engine uses.
Current state
In staging, being built from the evidence.
The system is in staging. The diagnostic evidence is verified; the structure is being built to meet the demand that evidence describes.
For that reason the outcomes below are framed as hypotheses. They are the things being tested — not results being claimed.
Measurement
Measurement hypotheses.
Stated before the results, to be tested once the system is live.
- Hypothesis 01
Centre pages will improve local discovery.
- Hypothesis 02
Local pages will outperform the national-only journey.
- Hypothesis 03
Clear Montessori explanations will improve engagement.
- Hypothesis 04
Earlier subsidy information will reduce uncertainty.
- Hypothesis 05
Structured content will strengthen search and AI-assisted discovery.