How is social housing using data and AI?

Share your insights to help shape the sector.

We’re inviting senior data and AI leaders across housing associations and trusts to take part in this short survey on how the sector is using data and AI.
Your input will help build a sector-wide view of current priorities, challenges and capabilities, giving housing organisations a clearer benchmark for where they are today.
The independent survey is conducted jointly by Housing Digital and Cynozure. All responses will be aggregated and anonymised in the final report, so no individual or organisation will be identified.
in partnership with

 It takes less than 5 minutes and covers:

 

 A few details about your role and organisation
Key questions on your use of data and AI

As a thank you,
you’ll receive:

 A free physical copy of
Data Means Business (Second Edition)
by Cynozure’s Founder & CEO, Jason Foster

 Early access to
the findings
and final report

Thank you for sharing your perspective and helping build a clearer picture of data and AI across housing.
Which of the following best describes your role?
Do you have direct or shared responsibility for data and AI budget or strategy?
What is your approximate annual budget for data and AI initiatives?
What are the most important outcomes you want better use of data to support over the next 12–18 months?
You can select up to three options
What are your top priorities for data and AI over the next 12–18 months?
You can select up to three options
Which factors have the greatest influence on deciding these priorities?
You can select up to two options
How confident are you that your organisation has trusted, accessible data to make effective decisions in the following areas?
Very confidentSomewhat confidentNeither confident nor unconfidentSomewhat unconfidentVery unconfident
Residents and households
Very confident
Somewhat confident
Neither confident nor unconfident
Somewhat unconfident
Very unconfident
Stock condition and asset investment
Very confident
Somewhat confident
Neither confident nor unconfident
Somewhat unconfident
Very unconfident
Repairs and maintenance
Very confident
Somewhat confident
Neither confident nor unconfident
Somewhat unconfident
Very unconfident
Complaints
Very confident
Somewhat confident
Neither confident nor unconfident
Somewhat unconfident
Very unconfident
Tenancies, income and voids
Very confident
Somewhat confident
Neither confident nor unconfident
Somewhat unconfident
Very unconfident
Safety and regulatory compliance
Very confident
Somewhat confident
Neither confident nor unconfident
Somewhat unconfident
Very unconfident
What is the single biggest blocker preventing your organisation from getting more value from its data?
Which best describes your organisation's current approach to AI?
Where are you currently seeing the clearest impact from better use of data, analytics or AI?
You can select up to three options
How does your organisation currently measure the value created by data, analytics and AI?
Which of the following best describes your role?
Do you have direct or shared responsibility for data and AI budget or strategy?
What is your approximate annual budget for data and AI initiatives?
What are the most important outcomes you want better use of data to support over the next 12–18 months?
You can select up to three options
What are your top priorities for data and AI over the next 12–18 months?
You can select up to three options
Which factors have the greatest influence on deciding these priorities?
You can select up to two options
How confident are you that your organisation has trusted, accessible data to make effective decisions in the following areas?
Very confidentSomewhat confidentNeither confident nor unconfidentSomewhat unconfidentVery unconfident
Residents and households
Very confident
Somewhat confident
Neither confident nor unconfident
Somewhat unconfident
Very unconfident
Stock condition and asset investment
Very confident
Somewhat confident
Neither confident nor unconfident
Somewhat unconfident
Very unconfident
Repairs and maintenance
Very confident
Somewhat confident
Neither confident nor unconfident
Somewhat unconfident
Very unconfident
Complaints
Very confident
Somewhat confident
Neither confident nor unconfident
Somewhat unconfident
Very unconfident
Tenancies, income and voids
Very confident
Somewhat confident
Neither confident nor unconfident
Somewhat unconfident
Very unconfident
Safety and regulatory compliance
Very confident
Somewhat confident
Neither confident nor unconfident
Somewhat unconfident
Very unconfident
What is the single biggest blocker preventing your organisation from getting more value from its data?
Which best describes your organisation's current approach to AI?
Where are you currently seeing the clearest impact from better use of data, analytics or AI?
You can select up to three options
How does your organisation currently measure the value created by data, analytics and AI?
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