Case Study: Designing a Statewide Pilot to Create Evidence That Enables Change
- welcome65870
- 5 days ago
- 2 min read
This engagement demonstrates Luminaire’s repeatable approach in practice: Research → Engagement → Strategy → Behaviour Change → Programs & Systems → Outcomes
Categories:
Evidence & Insight
Capability & Capacity Uplift
Behaviour Change
This case study demonstrates Luminaire’s integrated approach — combining pilot design, original research and stakeholder engagement — to create first-of-its-kind evidence across a complex, statewide industry ecosystem.
Working in partnership with state government departments and industry stakeholders, Luminaire designed the statewide pilot to establish a defensible baseline of event organiser practices, measurable waste outcomes and attendee expectations. The work created decision-grade evidence to inform future frameworks, guidance and behaviour change interventions, and to support confident testing and scaling across regions and event types.
Context
Queensland’s events industry sits within a complex delivery environment — multiple organisers, venues, suppliers, regional infrastructure realities and diverse attendee behaviours.

To support sector uplift, the event sustainability pilot was established as an industry-and-government collaboration. Luminaire designed the pilot to create a defensible baseline across the state — capturing current organiser practices, measurable waste outcomes, and attendee expectations — so future solutions could be tested, refined and scaled with confidence.
The Challenge
The challenge was not intent — it was designing a pilot that was representative, repeatable and usable across a statewide ecosystem.
Key requirements included:
a sampling design that reflected Queensland’s diversity (SEQ, regional, remote) and event types
a method that captured both outcomes (waste streams) and drivers (organiser behaviours and attendee sentiment)
data structures designed for repeat use over time, to support year-on-year benchmarking and intervention testing
Luminaire’s Role
Luminaire acted as pilot designer and evidence architect — responsible for the pilot’s design logic, data architecture, and engagement pathway so the outputs would be credible and fit-for-purpose.
Our role spanned:
Research: defining what data was required and how it would be collected (waste outcomes + behavioural drivers)
Engagement: designing participation settings that enabled adoption across organisers and delivery stakeholders
Strategy: ensuring the baseline explicitly informed solution-focused framework and content development
Behaviour change readiness: capturing the “why” behind practices and preferences so future interventions can target the right levers
What We Did
1) Designed the statewide pilot architecture
Created a representative sampling methodology across geography and event characteristics
Ensured the sample reflected known variables affecting waste generation (e.g., food, alcohol, overnight formats)
Ensured the pilot was suitable for metro, regional and remote regions
2) Designed and implemented baseline data collection tools
Baseline elements included:
physical waste audits across key waste streams within defined windows
attendee sentiment questions embedded in existing survey channels, designed to be repeatable
organiser baseline surveys to capture current practices and barriers, also designed for repeat benchmarking
3) Ensured the baseline translated into action
Designed the pilot outputs to directly inform subsequent framework and guidance development
Built the engagement logic to maximise participation and usability of results
Outcomes
A defensible baseline of organiser practices, measurable waste outcomes and attendee sentiment
A repeatable pilot design that enables year-on-year benchmarking and comparison
An evidence base intentionally structured to inform solution-focused frameworks and future intervention design
Why This Matters
This case demonstrates how Luminaire designs pilots that create decision-grade evidence — the kind governments and partners can rely on to align stakeholders, target the right levers, and test and scale what works across complex statewide ecosystems.





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