Change Ambassadors
Your context
- A large-scale internal change programme
- Small number of dedicated change management resources
- Plan to use volunteer change ambassadors
Your challenges
- To determine the likely reach of volunteer change ambassadors
- To identify and fill any gaps in coverage
How Oxzeon's technology helps
- Using your pre-existing data, we map employee relationships within the target employee population, combining networks of email, instant messaging, and meetings
- Within each department (and other segmentations), we calculate the percentage of employees within one, two, or more degrees of separation from a change ambassador
- In parallel, we identify employees at key points in the networks - the 'connectors'
- For coverage gaps, we suggest new change ambassadors and model their reach
Your outcomes
- Awareness of gaps in volunteer change ambassador coverage
- Identification of key connectors and candidate change ambassadors
- A map of the target employee population's communication network
- Connectivity metrics for departments (and other segmentations)
- A simple mechanism for checking and refining coverage over time
Sample illustrations
Read on to see some sample illustrations of our work in this area: Fig. 1: In this visualisation of an organisation, employees (the nodes) are connected by communication relationships (the edges), which may be any combination of email, instant messaging, and meetings. Node colour denotes whether an employee is a change ambassador, or within one or two degrees of separation from a change ambassador.
Ambassador | 1 degree | 2 degrees | 3+ degrees | |
---|---|---|---|---|
D01 | 0 | 25 | 75 | 0 |
D02 | 0 | 50 | 50 | 0 |
D03 | 0 | 11 | 89 | 0 |
D04 | 4 | 57 | 39 | 0 |
D05 | 8 | 69 | 23 | 0 |
D06 | 4 | 41 | 55 | 0 |
D07 | 0 | 8 | 92 | 0 |
D08 | 0 | 33 | 67 | 0 |
D09 | 0 | 19 | 81 | 0 |
D10 | 0 | 50 | 50 | 0 |
D11 | 0 | 32 | 68 | 0 |
Fig. 3. One approach to identifying additional change ambassadors is to look for 'connectors' - employees that occupy key positions in the network. In this visualisation, the larger, whiter nodes represent employees that more frequently connect others in this network (identified using a 'centrality' measure). Whilst some high-scoring employees will be senior leaders, this approach can still yield a useful shortlist of candidates, and their likely reach can be modelled.