The 1 Year Report shows the trending data over the past year for Overall and Sectional Scores. The data can be displayed in a table showing each month's average and can be graphed as either a line or graph.
The 1 Year Report can be accessed from the Client Reports page within the Trending & Graph Reports drop down and selecting Go.
Figure 1: Accessing the Report
Figure2: Report Controls
Begin by selecting a single survey, multiple surveys or all surveys depending on client settings and numbers of surveys.
*Selecting multiple surveys or all surveys will change the UI to Link Multiple Surveys
Choose your date range to report on. Depending on client setup you will either see a Start Date or a Start Date and number of Periods to report on.
The SHOW ONLY SHOPS IN filters allow the user to limit the data being shown as the default is to include all the data. There are separate filters for Levels, Groups, and Waves so that they can be used together or individually to really control what data is being shown.
Figure 3: Multiple Surveys or All Surveys and Linking
Figure 4: Linking Interface
The GRAPH settings control whether to graph the Overall Score in a line or bar graph. You can also choose to include the Sectional Scores on the graph.
The SCALING settings allow the user to control the Y axis minimum and maximum. If data is tightly clustered, this allows the user to reduce the white space on the graph and really zoom in on the data points.
If needed, there is a text box where the user can enter text to display at the end of the report.
In order to run the report, you must use the Full View or Print View button. Based on client settings, some clients will also have a PDF View or Excel View button.
You will also notice at the top right of the page is a Jump To Report drop down which allows you to quickly switch to other reports.
*This report also supports Data Mining by including an additional filter in the controls that lets the user filter the data by Overall Scoring, Shopper Demographics, and Survey Questions.
Figure 5: Data Mining Filter
