Different types of data are described below:
- Quantitative data, such as water quality data, Web analytics, and epidemiology statistics.
- Qualitative data, such as customer comments, media reports, staff memos, etc.
See Appendix C: Online Resources, Data Management for links to information on qualitative data collection.
See the Advisory Feedback Guide [DOCX – 4 pages] and Call Center Data Collection Framework [DOCX – 2 pages] for collecting information from partners.
Surveys
Good Practice
Recognize that data sources and types vary by agency, capacity, and the scope and scale of the drinking water advisory.
Water systems should consider surveying their customers about the advisory. Surveys can be used to determine the effectiveness of the advisory and to determine whether the advisory influenced personal actions.
- Customer service surveys may include a section related to an advisory.
- Surveys can be designed to measure perceptions, actions, and communication effects and outcomes.
- The perceptions and recall of respondents will change with the amount of time that passes between an advisory and a survey.
- Surveys can be short and focused or longer to gather a full range of data.
- Online surveys offer a fast and efficient way to solicit and analyze feedback from a wide range of respondents.
Tip
Designate a central location to archive evaluation data.
Consult the Post-Advisory Community Survey [DOCX – 6 pages] or CASPER (Community Assessment for Public Health Emergency Response) for ideas about what to ask in a survey and for methods to use when conducting a survey.
Data Management
Manage data as it is collected. Data management activities may include:
- Storing data as hard and electronic copies in a central location for easy access.
- Requesting information from partners involved with the advisory.
- Asking partners about limitations or privacy policies that might limit the ability to report the data.
- Working with database experts to ensure that the database structure is optimal for doing the planned analysis.