Yorkshire Housing (YH) are one of the largest Housing Associations in Yorkshire managing over 18,000 affordable and social rent homes with ambitious plans to develop 3,000 more by 2021. As part of these development plans, YH, were going through a significant transformation (People, Process and Technology) and partnered with Omni to develop a new approach to how they selected the future talent they needed, based around their new Values and Behavioural Framework.
Aims & objectives
As part of the Transformation & Growth project, YH were undertaking a top down restructure, starting with their leadership team. The aim of the partnership with Omni was to support its restructure to ensure the organisation had the right talent to realise its ambitious targets. Omni designed and delivered an assessment approach that enabled the selection of its future talent. Starting with the leadership team we developed tools that aligned with the values and new behavioural framework.
Omni supported the People lead with all consultation with the unions. This new approach signalled a step change in how selection was approached by Yorkshire Housing and their ultimate objective, which was to ensure that the best talent was in place to lead them through their transformation project and into BAU. In addition they were also left with a robust selection framework to select future internal and external talent.
Omni worked with the Yorkshire Housing team to create and deliver an assessment approach for three levels of roles. Deliverables included:
- Development of application process for candidates
- Psychometric Assessment – selection and deployment
- Development of Values, Motivation and Behavioural interviews
- Development of bespoke simulation exercises (group exercises, role plays, presentations) for three different levels in the business
- Hiring Manager and Assessor Training
- 1-1 Candidate and Recruiter Briefings
- Facilitation of assessments centres
- Production of feedback reports and feedback to unsuccessful candidates facing redeployment