Baldrige Survey System
Survey Reports
While the survey is under way, the client can monitor progress by viewing a graph of the number of completed visits by date, and hence the response rate so far. This graph enables us to predict what the final response rate will be, and to decide whether to send out reminder emails.
Immediately the survey is closed, the client can obtain a wide range of standard reports online.
Complete Survey Report
This is a comprehensive report, designed for assessment participants, neatly formatted and ready for printing. It includes:
- The survey questionnaire
- Summary graphs of the ratings
- The distribution of ratings for each question
- All of the comments for each question. Beside each comment the associated rating is shown. This makes it easier to interpret comments, especially any that are ambiguous.
In-Depth Analysis Reports
These reports allow for various kinds of 'slicing and dicing' of the data, including:
- Analysis of variation by category and by question, to identify significant differences in the ratings (e.g. by level, function, or location)
- Comparisons with previous surveys
- Comparisons with the other organizations that have used the same survey (preserving their anonymity).
User Experience Reports
These additional reports can help us understand the users' experience and interpret the findings.
- Time required to complete the questionnaire.
This distribution graph allows us to see how long people are taking to complete the survey, and hence the actual investment of time by the organization. The median is typically about 15 minutes. - Participation by category.
This allows us to see what groups are responding, and which are not. For example, we can see what percentage of front-line employees have participated, or what percentage of people at a certain location, or in a certain function.
Very low response rates for a particular category of employee may be a 'red flag', suggesting some kind of problem. The survey comments may hint at this. - Propensity to comment, by rating.
It is well known that people are generally much more likely to enter a comment if they have just given a question a low rating. So there are usually more negative comments than positive ones, even for highly-rated questions.
This graph measures the extent of this phenomenon for this organization. Reviewers find this information helpful,to help them avoid a negative bias when analyzing the comments.
None of these reports enable individuals to be identified or compromise the anonymity of respondents.