The first section of the dashboard allows you to choose a specific date range, or you can pick one of the pre-defined date periods. This will change all the data in the dashboard to show you the feedback in the selected range.
You can change this at any time while browsing anywhere in the dashboard.
The next section shows your NPS (Net Promoter Score) score and number of responses for all selected measures, for the specified date range. You can find out more about NPS here.
The NPS Breakdown show you your Promoters, Passives & Detractors across each selected measure/s compared to all measures. You can also click to download a csv file of this breakdown across all locations.
The next section of your dashboard is all about comment analysis - you can filter comments by Alerts, Status, Promoter, Passives or Detractors - or even a combination of these!
There's your word cloud - the bigger the word, the more frequent it was mentioned. You can click on any word to filter comments containing that word - results are shown to the right of your word cloud.
The word cloud can be filtered by time period as well as Promoters, Passives or Detractors - or a combination of these.
This is where you can filter the results even further by adding in keywords:
Next are you comment groups.
These filter words into specific groups - like Excellent Experience. Words mentioned in comments like - perfect, excellent, Great, lovely or fabulous are split into these groups. These are then split again depending on the comment was from a Promoter, Passive or Detractor.
As highlighted in the screenshot below - this gives you the opportunity of gaining huge insight into the feedback your customers are giving you.
The NPS Trend graph below shows the NPS score averaged across all selected measures for the specified date range. Showing trends across hour, day, week, month and year.
The two graphs below show benchmarking across all locations/measures. Showing the NPS score across Store 1, 2, 3 & 4 for the specified time period chosen in the dashboard filter.
You can also show how these stores are performing across store type - below shows Large & Small format stores and their group NPS.