PropTech App Landlord User Journey Survey
Understand how landlords evaluate onboarding, compare workflow fit, and choose subscription plans across rent collection, maintenance, and reporting for different property portfolios and management models, so you can sharpen acquisition, pricing, and retention strategy.
CONTEXT & RELEVANCE
Why run this survey now
Most landlords don't lose platform adoption purely on subscription price. They disengage due to setup friction, unclear automation value, fragmented tenant workflows, weak support, and trust concerns, none of which show up in app ratings or usage dashboards.
If you are...
- PropTech product leaders
- Landlord acquisition teams
- Customer success managers
- Revenue and pricing owners
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete landlord app journey from discovery to long-term renewal.
Discovery & Consideration
- PropTech discovery channels
- Initial credibility signals
Onboarding & Setup
- Account setup complexity
- Portfolio data migration
Rent & Payments
- Collection workflow fit
- Payment visibility controls
Maintenance & Vendors
- Request handling speed
- Vendor coordination clarity
Tenant & Communication
- Messaging workflow consistency
- Tenant self-service adoption
Features & Usability
- Landlord navigation confidence
- Automation feature value
Support & Trust
- Issue resolution confidence
- Data security assurance
Pricing & Renewal
- Subscription value perception
- Renewal decision drivers
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.
METHODOLOGY
Survey approach
For PropTech App Landlord User Journey Survey, we recommend an online-first mixed-method approach with flexible data-collection modes to balance reach, depth, and verification across landlord types and portfolio sizes.
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
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
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
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
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 property technology space.
Rental Payment Feature Positioning Study Across Urban India
OBJECTIVE
WHAT WE DID
DELIVERED
Rental Payment Feature Positioning Study Across Urban India
Maintenance Workflow Segmentation for Rental Portfolios in India
Rental Payment Feature Positioning Study Across Urban India
OBJECTIVE
A pan-India property software provider needed to understand how independent landlords , small portfolio owners , and property managers compared automated rent collection, bank transfers, and offline collection when selecting payment features and evaluating service credibility.
WHAT WE DID
We ran a structured online survey across five metros, balancing respondents by portfolio size , collection method , and digital maturity . The questionnaire captured feature importance, willingness to switch, trust signals, and preferred acquisition channels.
DELIVERED
We delivered a feature preference map , positioning territories , channel levers , and a competitor comparison framework showing which payment propositions resonated by landlord segment, portfolio complexity, and current collection behaviour without projecting commercial outcomes.
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 independent landlords, multi-property owners and professional property managers?
How will you measure landlord app preference beyond simple ratings?
Will the survey map the full landlord app journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our landlord acquisition and activation strategy?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.