DISC Profile Team Charts

Use this powerful free tool see everyone on one chart to get an at-a-glance view of everyone’s DISC personality style. You can even click on individuals on the graph to view summary information for that person. Team charts are useful for looking at team interaction dynamics, seeing a group’s personality as a whole, identifying tendencies of the group, and visualizing how individual team members fit in with the group in general.

You will need valid Discovery Report access code for each person to be included on the chart. This tool will accept any valid Discovery Report access codes of any version. Need codes? visit our store here.  Looking for a combined report for for 2 people? Try our bonus Interaction Guide Report.

 

List of Access Codes (required) Enter the list of ACCESS CODES for your team in the box below (one access code per line) and then click on the blue “View Team Chart” button:

Charting Options: Plot using: First names onlyFirst and last namesInitials onlyDots onlyFirst initial and Last NameFirst name and last initial Text color: BlueRedBlack Text size: SmallMediumLarge Chart size: SmallMediumLarge Chart Title: (optional) Include additional graphs for each team member? Spread out the plotting points (helps if points overlap)? Include descriptive DISC words on chart?

 

Tips on using the Team Graphs:

1. Keep in mind that the results of the personality tests can be further explored for each person by clicking on their plotting point on the graph.
2. Keep in mind the major divisions of the chart … Outgoing vs. Reserved and Task-oriented vs. People-oriented. Look for whether the group is weighted towards one side or the other. That can indicate the flavor of the organization.
3. Keep in mind that everyone is a blend of all 4 personality styles. This graph is not meant to “pin” anyone down. The graph is intended to be one view of the group. Use this as a tool – as a way to envision an organizational snapshot.
4. Be aware that charts with a large number of codes (50+) may occasionally not plot effectively if the server is overloaded. If you have trouble, you may need to try again later. If you experience technical difficulty, then please contact our support team.