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From Compliance to Confidence: How Greatwell Turned Damp & Mould Data into Better Resident Outcomes

Thursday 21 May 11.00 – 11:45

Compliance in social housing is no longer just about meeting standards, it’s about ensuring no case is missed, no issue is unresolved, and residents feel the difference in their homes.
In this session, we’ll explore how Greatwell Homes transformed its approach to damp and mould management by combining robust processes with automated oversight and actionable data. By partnering with Mobysoft and implementing RepairSense, Greatwell moved from reliance on manual checks to a model where every job is verified, tracked, and resolved with confidence.

You’ll hear directly how this approach has enabled Greatwell to:

– Ensure no cases fall through the cracks with automated job verification and rule-based oversight
– Improve first-time resolution and reduce repeat visits, lowering costs and resident disruption
– Strengthen accountability and transparency, with full property histories and auditable processes
– Streamline operations, cutting surveyor research time from half a day to around an hour
– Deliver a more consistent resident experience, with proactive ownership of damp and mould cases

Rather than issuing fixes and hoping for follow-up, Greatwell has shifted to end-to-end case ownership, ensuring every issue is fully resolved and documented, a change that is already improving operational efficiency and expected to drive higher tenant satisfaction .

We’ll also explore how this model supports compliance with evolving regulation while creating a more proactive, data-led service that residents can genuinely feel.

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  • About
  • Contact Us
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  • RepairSense
  • Resources
  • Why Mobysoft?
  • Social Value Strategy

  • Five Questions to Ask Any Rent Analytics Supplier Ahead of Making a Buying Decision
  • What the Procurement Act Means for Rent Analytics Buying
  • This Month In Social Housing: April 2026
  • Five Questions Your Board Will Ask in 2026 (And How to Answer Them)
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  • Carbon Statement