HOUSING & RWA GOVERNANCE

Housing Society & RWA Governance Satisfaction Survey

Measure how resident welfare association members evaluate, compare, and navigate governance quality, maintenance responsiveness, and financial transparency in their societies, so you can sharpen retention positioning, fix service gap messaging, and benchmark satisfaction conversion across resident segments.

Pan-India sample
RWA members (Committee Members / Residents)
15-20 min
Talk to a Survey Consultant
Governance friction & drop-offsIdentify where residents disengage, escalate complaints, or withdraw active participation.
Service benchmarks & trade-offsRank maintenance priorities, fee tolerance thresholds, and transparency expectations across society tiers.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most housing society managers don't lose resident trust purely on maintenance delays. They lose it due to opaque fund utilisation, unresponsive committee decisions, vendor selection bias, unresolved dispute backlogs, and inconsistent rule enforcement, none of which fully show up in complaint registers or AGM attendance records.

If you are...

  • RWA committee facing re-election
  • PropTech platform serving societies
  • Facility management firm pitching RWAs
  • Society treasurer under audit pressure
  • Developer handing over to residents

You're likely facing...

  • Resident trust vs committee credibility gap
  • Maintenance fee disputes: frequency vs amount
  • Vendor = cheap/unreliable perception
  • Governance = opaque/slow perception
  • Participation drop: AGM vs digital voting

This will help answer...

  • Satisfaction drivers beyond maintenance speed
  • Governance trust breakdown by segment
  • Fee structure vs perceived fairness
  • Complaint resolution drop-off stage
  • Switching triggers to rival RWA platforms

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete resident journey from onboarding to long-term community retention.

TENETS 01

Committee Legitimacy

  • RWA election process, resident trust
  • MC transparency, mandate clarity
TENETS 02

Maintenance & Upkeep

  • Common area condition, repair turnaround
  • Preventive maintenance scheduling, vendor reliability
TENETS 03

Maintenance Fee Billing

  • Levy structure, collection efficiency
  • Arrears management, billing disputes
TENETS 04

Complaint Resolution

  • Grievance channel, escalation path
  • Resolution speed, follow-up gaps
TENETS 05

Security & Access

  • Gate management, visitor verification
  • CCTV coverage, guard deployment gaps
TENETS 06

Digital Adoption

  • Society app usage, feature gaps
  • Communication channel preferences, digital fatigue
TENETS 07

Financial Transparency

  • Annual accounts, sinking fund disclosure
  • Audit completion, expenditure visibility
TENETS 08

Community & Belonging

  • Resident participation, event engagement
  • Conflict mediation, neighbour relations

SAMPLING STRATEGY

Tell us about your ideal sample

Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.

Sample size
How many respondents do you need?
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Target audience
Who should we survey?
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Region
Which regions should we cover?
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Segments
How should we slice the data?
Not Selected
Discuss sample plan

METHODOLOGY

Survey approach

For the Housing Society & RWA Governance Satisfaction Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across resident and committee respondent segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Measuring resident satisfaction across governance dimensions
2
Ranking maintenance, security, and financial transparency drivers
3
Comparing responses by society size and city tier
Deliverables
Satisfaction driver ranking
Governance gap matrix
Segment benchmarks
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older residents with low digital platform adoption
2
Tier 2 and Tier 3 city society coverage
Deliverables
Representative resident coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
RWA committee members and managing committee heads
2
Large gated communities with complex governance structures
Deliverables
Committee decision maps
Rich governance narratives
OPTIONAL
FGDs
Deliverables
Themes and quotes
Priority reform areas
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey as the core quant layer, supported by CATI for older residents and Tier 2 and Tier 3 city societies with lower digital adoption.
Consider adding: Face-to-face interviews with RWA committee heads in large gated communities, plus FGDs to surface unstructured grievances and co-develop governance reform priorities.

EXECUTION PROCESS

How we execute

A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.

Define the decision frame

Confirm objectives, target cohorts, geographies, and reporting cuts

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

Deliver and align

COMMERCIAL TERMS

Request a Commercial Proposal

Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.

Select Sample Size

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
  • Indian Rupee (INR)
  • United Arab Emirates Dirham (AED)
  • Afghan Afghani (AFN)
  • Albanian Lek (ALL)
  • Armenian Dram (AMD)
  • Netherlands Antillean Guilder (ANG)
  • Angolan Kwanza (AOA)
  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
  • Azerbaijani Manat (AZN)
  • Bosnia-Herzegovina Convertible Mark (BAM)
  • Barbadian Dollar (BBD)
  • Bangladeshi Taka (BDT)
  • Bulgarian Lev (BGN)
  • Bahraini Dinar (BHD)
  • Burundian Franc (BIF)
  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
  • Belize Dollar (BZD)
  • Canadian Dollar (CAD)
  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
  • Costa Rican Colón (CRC)
  • Cuban Peso (CUP)
  • Cape Verdean Escudo (CVE)
  • Czech Koruna (CZK)
  • Djiboutian Franc (DJF)
  • Danish Krone (DKK)
  • Dominican Peso (DOP)
  • Algerian Dinar (DZD)
  • Egyptian Pound (EGP)
  • Eritrean Nakfa (ERN)
  • Ethiopian Birr (ETB)
  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
  • Gambian Dalasi (GMD)
  • Guinean Franc (GNF)
  • Guatemalan Quetzal (GTQ)
  • Guyanese Dollar (GYD)
  • Hong Kong Dollar (HKD)
  • Honduran Lempira (HNL)
  • Croatian Kuna (HRK)
  • Haitian Gourde (HTG)
  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
  • Iraqi Dinar (IQD)
  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
  • Cambodian Riel (KHR)
  • Comorian Franc (KMF)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • Sri Lankan Rupee (LKR)
  • Liberian Dollar (LRD)
  • Lesotho Loti (LSL)
  • Libyan Dinar (LYD)
  • Moroccan Dirham (MAD)
  • Moldovan Leu (MDL)
  • Malagasy Ariary (MGA)
  • Macedonian Denar (MKD)
  • Burmese Kyat (MMK)
  • Mongolian Tögrög (MNT)
  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
  • Nigerian Naira (NGN)
  • Nicaraguan Córdoba (NIO)
  • Norwegian Krone (NOK)
  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
  • Papua New Guinean Kina (PGK)
  • Philippine Peso (PHP)
  • Pakistani Rupee (PKR)
  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
  • Russian Ruble (RUB)
  • Rwandan Franc (RWF)
  • Saudi Riyal (SAR)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • Sudanese Pound (SDG)
  • Swedish Krona (SEK)
  • Singapore Dollar (SGD)
  • Saint Helena Pound (SHP)
  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
  • Thai Baht (THB)
  • Tajikistani Somoni (TJS)
  • Turkmenistani Manat (TMT)
  • Tunisian Dinar (TND)
  • Tongan Paʻanga (TOP)
  • Turkish Lira (TRY)
  • Trinidad and Tobago Dollar (TTD)
  • New Taiwan Dollar (TWD)
  • Tanzanian Shilling (TZS)
  • Ukrainian Hryvnia (UAH)
  • Ugandan Shilling (UGX)
  • United States Dollar (USD)
  • Uruguayan Peso (UYU)
  • Uzbekistani Som (UZS)
  • Vietnamese Đồng (VND)
  • Vanuatu Vatu (VUV)
  • Samoan Tālā (WST)
  • Central African CFA Franc (XAF)
  • East Caribbean Dollar (XCD)
  • West African CFA franc (XOF)
  • CFP Franc (XPF)
  • Yemeni Rial (YER)
  • South African Rand (ZAR)
  • Zambian Kwacha (ZMW)
  • Zimbabwean Dollar (ZWL)

$0.00

+ applicable taxes

Proposal turnaround typically 24–48 hours

Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.

REFERENCE CASELETS

Reference

Real-world examples of survey work in the residential governance and community management space.

CASELET 1

Resident fee compliance & payment friction mapping (India)

CASELET 2

RWA committee trust deficit & communication gap diagnosis (NCR)

Resident fee compliance & payment friction mapping (India)

OBJECTIVE

A mid-size property management platform needed to isolate why maintenance fee defaults persisted across gated community residents and independent society members , and which payment touchpoints drove the highest drop-off in compliance behaviour.

WHAT WE DID

Ran a structured quant survey across 480 residents in 6 cities, capturing payment channel preference, default triggers, reminder sensitivity, digital wallet adoption, and willingness to pay convenience fees by resident income segment and tenure in society.

DELIVERED

A payment friction map by resident segment, a ranked default trigger list tied to billing cycle timing, and a set of channel levers to reduce late payments among first-year residents and long-tenure defaulters separately.
CASELET 1

Resident fee compliance & payment friction mapping (India)

CASELET 2

RWA committee trust deficit & communication gap diagnosis (NCR)

Resident fee compliance & payment friction mapping (India)

OBJECTIVE

A mid-size property management platform needed to isolate why maintenance fee defaults persisted across gated community residents and independent society members , and which payment touchpoints drove the highest drop-off in compliance behaviour.

WHAT WE DID

Ran a structured quant survey across 480 residents in 6 cities, capturing payment channel preference, default triggers, reminder sensitivity, digital wallet adoption, and willingness to pay convenience fees by resident income segment and tenure in society.

DELIVERED

A payment friction map by resident segment, a ranked default trigger list tied to billing cycle timing, and a set of channel levers to reduce late payments among first-year residents and long-tenure defaulters separately.

FREQUENTLY ASKED QUESTIONS

Common Questions

Answers to frequently asked questions about this survey mandate.

What decisions will this survey enable?

Who is the buyer vs who are the respondents?

Can we see differences between gated apartment residents, villa community residents and independent floor residents?

How will you measure governance satisfaction beyond simple ratings?

Will the survey map the full resident governance journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our resident acquisition and platform adoption strategy?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

Book a Discovery Call