<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=437084&amp;fmt=gif">
Skip to content
 

Pinpoint drivers of tenant satisfaction, make better CX decisions

When tenant feedback is not collated, analysed and prioritised effectively - tenant satisfaction suffers.

Wordnerds makes it easy for anyone to review, analyse and generate insights from your text feedback faster.

housingHeroJoanne

"Landlords should be asking themselves... Are they listening to what tenants are saying? And are boards scrutinising the range of data sources being used to gain assurance, so they and their organisation really understand what is happening?"

 

Chief of Regulatory Engagement, Regulator of Social Housing

HAs committed to understanding tenants love Wordnerds:

Learning, sharing, best practice...

Basically all the expertise we've hoarded, magpie-like, in the social housing sector.

Podcast

Nerdcast #1: Housing Ombudsman

pin Podcast

In the first instalment of the shiny new Nerdcast, Wordnerds CEO and CSO Pete and Steve speak to Polly Cox and Victoria King from the Housing Ombudsman about the state of regulation in UK social housing, and what HAs can do to keep up.

Listen here

Webinar

Maximising learnings from complaints

pin Virtual clock-flexible-hours Been and gone — watch the recording

Nerdcast live: A recent webinar of ours covered how to maximise learnings from complaints in a landscape where escalations are up 400%, and the nominal 15 day resolution time leaves the average HA 2-6 hours to deal with each complaint.

Get the recording

Methodology

PAPA Framework

pin Blog

Originally pitched in webinar form, our PAPA framework guides housing providers through how they can treat their customer data to best adhere to TSMs — by improving the customer experience at the root of their problems.

More info

Best practice

Housemark says...

pin Blog

Lick your elbow and make sure your tenants are adequately supported during a period of rising costs and heightened regulation! Housemark has provided some valuable guidance on conducting surveys in the past, but how relevant is that advice in the current climate?

More info

We make it easy to answer questions like:

 

01

 

What are our tenants talking about?

 

Our platform and experts can analyse tenant feedback from various sources, turning unstructured text into clear themes that you can understand.

We even identify each theme's volume and sentiment, giving you a clear overview of your tenants' concerns.

02

 

What's the root cause of specific complaints?

 

Wordnerds lets you dive into any top-level theme and drill down into specific issues driving negative or positive sentiment. 

03

 

What fixes should I prioritise? 

 

By analysing all your feedback side by side, we calculate each issue's size and affect on sentiment. This gives you confidence that your work will drive the biggest improvements in tenant satisfaction.

04

 

Are our initiatives improving tenant satisfaction?

 

Tracking your issues month-over-month or quarter-over-quarter is crucial for understanding if your initiatives have been effective. We can help you build reports that show how issues grow or shrink over time.

Case Studies from Housing:

"Wordnerds has been a game-changer for our CX team... Repairs, estates, gas services, and TSMs all go through them."

Theo Scott
Head of Customer Experience, Town & Country Housing

“People across the organisation are getting a much better understanding of the customer voice.”

Shuna China
Customer Engagement Manager, Raven

“Wordnerds is now an integral part of any root cause analysis we conduct.”

Howard Jones
Head of Customer Feedback, Sovereign

How it works:

01: Connect Voice of Customer data from any source

Wordnerds can process text from data you already own, such as:

  • Surveys
  • Call centre and chat transcripts
  • Complaints
  • Reviews
  • Social media

All your channels can be analysed separately or together to break down your organisation's silos.

 
WN-Data sources graphic

02: Find the big trends, surprises, and individual issues in your data 

Our AI can automatically create clusters of all the topics mentioned across your data sets, giving you an instant feel for what tenants are talking about. From there, you can find issues and drivers of satisfaction through the use of:

  • Volume (how many people are talking about it)
  • Sentiment (how positively or negatively people feel)
  • Uniqueness (does this happen only in this neighbourhood/property type/demographic)

In this video, Steve (our Chief Scientific Officer) demonstrates how quickly you can get there.



 

03: Transparent, trainable AI categorisation

In addition to automatic categorisations, our AI can be trained to keep an eye out for anything you want.

We have worked with registered providers to train hundreds of models covering all aspects of the Tenant Satisfaction Measures, and you can train new models yourself in 20 minutes. As you'll see in this video, Steve can do it in less, but he's a massive nerd.

Pete w bracket

Ready to get started?

If you'd like to learn more about how we support Voice Of Customer teams in housing it's best you get in touch with Pete.

That's him over there!

He can answer any of your questions and walk you through:

  • Proof of concept reports
  • The platform and how it works
  • Our DIY or Done-for-you service options