How do we know?
Boards need to gain assurance around safety, service standards and satisfaction. This goes beyond receiving reassurance from the executive team. It needs to draw on a range of sources and provide board members with confidence that what they are seeing in their meetings represents what is going on in neighbourhoods, homes and in the day-to-day work of staff.
Taking the time to decide on the right information will also result in better-quality discussions. It is more effective to ask questions of higher-level indicators than to drown in a sea of unfiltered data.
A good board is curious and will ask – how do we know this information is accurate? What checks have we made on the data? They do not need all the answers themselves, but they do need to know who has got the answer and how its veracity has been checked.
This might include some level of reality checks – what is the word on the street / at neighbourhood events / on social media about the organisation? Does it chime with what I’m hearing in the boardroom?
A Board Assurance Framework can help to unpick the right areas for board-level scrutiny. This approach is often used to map out sources of assurance against key risks and can helpfully be applied to consumer regulation expectations.
Compliance with these standards will be nothing new for boards, but triangulation of sources of assurance (e.g. tenant feedback, management information and external review) may help to reveal gaps and areas where assurance is lacking. Involving residents in this process could help with insight and accountability.
How are we hearing from people with different experiences?
Do you really understand who lives, and wants to live, in the homes the housing provider owns and manages? How is this information used to gain insight into the experiences of different people? How is equality, diversity and inclusion (EDI) work leading the organisation to be anti-discriminatory?
Customer segmentation is nothing new, but many housing providers do not really dig into this data to understand its potential impact on strategic thinking and decision making. Those we see doing this well combine equalities, service outcomes and geographical data to establish operational ‘lead’ indicators (anticipating service issues) and informed decision making at a strategic level.