SLIDE 9 3/30/16 9
Recommendation C: Survey Analysis
Bar charts are usually the most intuitive way to compare categorical data.
comparison between departments
working to understand the root cause. If bad – eliminate. If good – duplicate!
2 4 6 8 10 12 14 Strongly Disagree Disagree Agree Strongly Agree
I am aware of current innova0on ini0a0ves within Carver County.
County Administra?ve County AAorney County Sheriff
Recommendation C: Survey Analysis
5 10 15 20 25 30 35 40
I am aware of current innova?on ini?a?ves within Carver County. I understand where to go for updates on innova?on projects. I know where to submit ideas for poten?al innova?on projects. I feel that current communica?on provides a clear picture of our innova?on goals. I feel I receive sufficient communica?on around our innova?on projects.
Communica?on - Strongly Agree
Survey 1 Survey 2 Survey 3
comparison between two different variables
- Increase from survey to survey
in number of respondents that strongly agree with positive statements regarding communication
Radar/Spider charts are useful for comparison when items should all be better or all be worse.
Recommendation C: Survey Analysis
Scatter plots & correlation can help discover new dependencies in behavior.
relationship between two variables
- Questions about participation
& facilitation of Kaizen events show correlation between participation & desire to facilitate
- Positive correlation could be
interpreted that events are inspiring
R² = 0.83698 10 20 30 40 50 60 70 80 30 35 40 45 50 55 60 I would like to be a facilitator at a Kaizen event. I have been an ac0ve par0cipant in past Kaizen events.
Correla?on - Kaizen par?cipa?on vs. Desire to facilitate