Management Tools for Performance Improvement
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The Actor Analysis Toolset

Actor analysis provides a detailed summary of the human and non-human actors involved in the proposed project or change. This is our novel contribution to traditional stakeholder analysis – we go beyond focusing on human stakeholders by including every organisational process. We do this because we all know that systems (e.g. HRM, IT or quality process documentation) can enable and inhibit change just as much as people. The analysis culminates in the generation of an ‘Actor Interaction Current State Map’. It creates knowledge of actors, organisational structures and relationships.

Once the project or change actors have been identified they need to be analysed against key criteria such as actor power, actor influence and interest in project success.

The purpose of this initial analysis is to determine the actor’s impact on the project and to also determine the actor’s polarity, i.e. is the actor positive, neutral, or negative to the project. The results of this initial analysis determines a colour code for the Actor to be used in the mapping process: high impact/positive, high impact/negative and low impact/either positive or negative.

The Receptivity for Change Toolset extends that knowledge into organisational willingness and ability to deliver that project or change successfully.

The TRANSFORMATION Project delivers the required knowledge to convert the ‘Current State Map’ into a ‘Desired State Map’ i.e. a set of conditions and required actions necessary to successfully deliver the required change.

The whole purpose is to convert ‘Red’ (resistant) actors, actor groups and organisations into ‘Green’ (proactive) ones, also to maintain those currently green ‘Green’.

As a taster of The Actor Analysis Toolset, from the Workbook, we include the different state maps (‘Creating the Desired State Map’), part of the toolset (‘The Actor Analysis Toolset’) and the impact and polarity grid summarising how we would display part of the results (‘Traditional Actor Mapping’).


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