Resources/Case Studies/Singapore Public Toilet Cleanliness Study: Digital Survey Platform for Real-Time Insights

Singapore Public Toilet Cleanliness Study: Digital Survey Platform for Real-Time Insights

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Topics

Custom SoftwareData CollectionGamificationPublic Health

Industry

Education & Public Health

Product

Web App DevelopmentMobile App Development

Problem

SMU needed a scalable and accurate way to assess cleanliness across 2,602 public toilets in Singapore, spanning 1,428 locations, with over 100 hygiene variables and more than 200 student auditors per run. Previous methods—Excel-only or SurveyMonkey combined with Excel—were labor-intensive, error-prone, and often disconnected from real-time observations.

Strategy

We developed a custom mobile and web-based survey application that verified on-site locations, allowed automated scoring from photos, and integrated gamification elements with incentives. Students could instantly upload data, and administrators could run internal or partner-based competitions. The system automated scoring within seconds and eliminated manual entry, while providing dashboards for analysis and trend identification.

Results

The platform facilitated precise, real-time data collection from 1078 coffee shops, 116 hawker centres, 114 MRT stations, and 90 shopping centres. It streamlined workflow across three project phases, enabled automated scoring and incentives, and supported collaboration with multiple beneficiaries and partners including Singapore Kindness Movement, Public Hygiene Council, NEA, Restroom Association Singapore, and World Toilet Organization. The study gained coverage in The Straits Times and created a public dashboard for transparency.

BY THE METRICS

2,602

Public toilets surveyed across Singapore

200+

Student auditors per run

100

Hygiene variables measured per toilet

46.26

Average coffee shop toilet cleanliness score

The Singapore Public Toilet Cleanliness Study aimed to provide an accurate, islandwide assessment of hygiene standards. Traditional survey methods were slow and prone to inconsistencies. SMU needed a solution that would allow hundreds of student auditors to systematically collect data and provide meaningful insights across thousands of locations.

Project Phases: From Excel to Real-Time Digital Scoring

The study evolved in three phases to improve accuracy, efficiency, and engagement:

  • Phase 1 – Excel-only: Basic scoring and input collection from multiple classes; limited scalability.
  • Phase 2 – SurveyMonkey + Excel: Introduced online survey forms, but issues remained with off-site students and manual collation of scores.
  • Phase 3 – Custom App: Verified on-site location accuracy, enabled photo-based scoring, automated calculation in seconds, and integrated gamified incentives and partner-based competitions.

The app reduced manual labor, increased data accuracy, and allowed administrators to issue points, badges, and internal competitions to motivate participants.

Screenshot of the custom survey app used for the study

The study covered 1078 coffee shops, 116 hawker centres, 114 MRT stations, and 90 shopping centres. Each location was assessed on over 100 hygiene variables, and the aggregated results informed public hygiene strategies and interventions.

"Reliable, meticulous, detail-oriented, accurate analysis with swift comebacks, checks and an ultimate outcome of excellent quality bar none."

- Rosie Ching, Principal Lecturer, SMU Statistics

Coverage in The Straits Times highlighted key findings, such as coffee shop toilets being the dirtiest, and public dashboards provided transparency for the public and authorities alike.

The collaborative effort included beneficiaries and partners like Singapore Kindness Movement, Public Hygiene Council, National Environment Agency, Restroom Association Singapore, and World Toilet Organization.

"Reliable, meticulous, detail-oriented, accurate analysis with swift comebacks, checks and an ultimate outcome of excellent quality bar none."

- Rosie ChingPrincipal Lecturer, SMU Statistics

Key Takeaways

  • Digital platforms can dramatically improve data collection speed and accuracy in large-scale public health studies.
  • Gamification and real-time scoring increase engagement and reduce manual work.
  • Collaborative partnerships enhance credibility, participation, and impact.
  • Public dashboards and transparency strengthen trust and support data-driven decision-making.