360° as a collective coaching and HR management tool

360° as a collective coaching and HR management tool

The reputation of 360° as a major tool for developing individual skills. On the other hand, its use in a collective context is still relatively uncommon. However, the consolidated analysis of individual data provides an overall view of how a population's skills are perceived, and is an invaluable steering tool for management and HR teams.

An executive committee coaching tool

Consolidating the 360° data from a management team enables us to identify the skills they have mastered and the areas they need to strengthen collectively. It also highlights the degree of homogeneity in terms of expected leadership behaviours. On the basis of this data, the management team can reflect together on its ways of doing things, its impact as a governing body, its operating rules and its collective development plan.

A tool for steering HR programmes

A consolidated analysis of the data from individual 360° reports provides a clear picture of the skills already mastered and those that need to be strengthened. By way of example, an analysis of this type applied to a 360° campaign involving 300 senior managers of a major global group in the financial sector yielded some useful lessons. In this company, leaders are recognised - among other things - for their ability to support change and give meaning, on the one hand, and their customer focus, on the other. On the other hand, their ability to give feedback and to innovate was perceived as insufficient. These lessons have made it possible to adjust HR investments accordingly by re - allocating certain training budgets and transforming the content of certain programmes.

Beyond simple consolidation, the use of specialised techniques (factorial analysis, cross-referencing of skills, quartile analysis, etc.) provides different ways of interpreting populations, through clustering analysis for example.

All these analyses can be carried out at the required level of granularity (division, region, BU, etc.), while respecting anonymity and the ethical rules governing the use of data.