SignalLine AI
Case Study

Regional Housing Association Automates Tenant Satisfaction Surveys

HousingTenant Satisfaction
73%
Response Rate
12,000
Calls Completed
60%
Time Saved
48%
Cost Reduction

The challenge

The association was struggling to meet TSM survey requirements with a small in-house team. Manual calling was expensive, slow, and inconsistent. Response rates from postal and online surveys had dropped below 25%, making it difficult to gather representative feedback across their portfolio.

The solution

SignalLine AI deployed AI voice agents to conduct structured tenant satisfaction surveys across the full portfolio. Calls were scheduled around tenant availability, with multilingual support for diverse communities. The system integrated with their housing management platform to pull tenant details and push results back in real time.

The results

Within 6 weeks, the association completed over 12,000 satisfaction calls with a 73% response rate — nearly three times higher than their previous method. The surveying team was freed to focus on analysis and improvement actions rather than phone work. Data quality improved significantly due to consistent scripting.

SignalLine AI transformed how we gather resident feedback. The response rates speak for themselves, and the quality of data we are now working with has genuinely improved our service improvement planning.

Head of Customer Insight
Regional Housing Association

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