Case Study: The Guinness Partnership predicts damp and mould issues with Wordnerds

How the Guinness Partnership identified damp and mould risks and prioritised red-flag complaints

The Guinness Partnership, a large affordable housing provider in England, faced a challenge in objectively analyzing vast amounts of unquantified tenant feedback from surveys and complaints. Without a way to properly group or score this data, their team relied on manual reading, which lacked objectivity. They turned to Wordnerds for a solution to process these comments and uncover actionable insights.

Using the Wordnerds analysis platform, the team gained an objective framework to identify key topics and sentiments. A significant discovery was that tenant complaints about ivy and creeping plants were predictive of higher incidents of damp and mould, enabling a shift to proactive risk identification. This use of Wordnerds saved the company 273 working days and £54,000 in labour costs, moving their reporting from backward-looking to truly predictive.

The Guinness Partnership

Chris Haynes

Head of Customer Insight