📺 Live Event Replay
A post TSM review with Pete and Saz and how you can use AI-powered feedback analysis to to improve your scores and resident happiness.
👇 Fill out the form below to watch the webinar recording 👇
It won't have escaped your attention that TSM's are now in full flow.We're nearly a year on from the first submission and the results have hit the market.
In October, Inside Housing produced an article looking at the first year of tenant satisfaction measures and analysed the results.They were at pains to point out that every housing association is different.
Every social landlord has their own unique cocktail of conditions, issues, geographies, demographics, socioeconomic groups.
And for that reason alone, it's impossible to accurately compare one person's score with another.
Yet they did, and you're now competing in a TSM league table.
At the Housemark Housing Data And Analytics Summit we presented how you can move up the league table and make residents happier by making the most of your feedback data.
We had such a positive reaction that we thought we have to share our insights with the wider housing community.
We're going to spill the beans on how to improve resident happiness and improve TSM scores.
So you can do the same.
Join Us!
How to do more with your TSM feedback data:
✅ Insights & Strategy
✅ Automating TSM analysis
✅ Prioritising Resident Issues
✅ Case Study from Guinness Housing
My name is Pete Daykin and I am CEO of Wordnerds, this ragtag bunch of linguists, data scientists, men, women, and dogs who are all set about to solve the issue of how we do more to make sense of customer and resident feedback.
We've been working with some of the biggest names in UK social housing for a number of years now.
And everything I'm going to present in this live webinar are things that we've learned along the way from the likes of Guinness Partnership, Riverside, Raven, InCommunities, One Manchester, Sovereign, and so on and so forth.
Fill out the form below to watch the webinar recording.