Tenant & Resident Satisfaction Surveys
Run TP01–TP12 tenant perception fieldwork across a housing portfolio, plus post-repair and annual waves, to a stated margin of error.
Housing associations and social landlords use SignalLine AI to run tenant perception surveys that meet the Regulator of Social Housing's requirements and drive operational improvement. Our AI agents call tenants to gather perception data on repairs, services, and overall satisfaction, producing structured results that feed directly into your TSM return and improvement processes. SignalLine runs the fieldwork on your behalf — your team doesn't operate a dashboard or manage the calling. You receive an audit-ready report when the wave closes, with results broken down by patch, trade, and complex.
Key capabilities
Submit your TSM return on time.
Perception fieldwork has to be complete well before the NROSH+ return closes. Give us your stock size and target margin of error and we'll run the calls — verbatim TP01–TP12, a transcript for every call, audit-ready.
RSH NROSH+ return. Perception fieldwork has to be complete well before this date — start early.
Tenant Satisfaction Measures (TSM): a complete UK guide
A regulator-accurate walkthrough of the 22 TSMs, methodology choices that disproportionately shape your score, and the pitfalls that have led RSH to exclude named landlords' data.
Read the guide →ComparisonSignalLine vs Acuity Research & Practice
Shortlisting providers? An honest side-by-side of human-interviewer fieldwork and AI-phone surveying — cost, speed, benchmarking, and when each is the right choice.
Read the comparison →Free toolTSM sample size calculator
Work out the achieved sample your stock size needs to land inside your margin of error at 95% confidence — before you commission any fieldwork.
Open the calculator →Ready to transform your voice operations?
Talk to our team about how SignalLine AI can help you scale your research, feedback, and outbound calling programmes.
No commitment required. We'll walk you through the platform and discuss your specific use case.