You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Overall, I want to give all of you kudos - this dashboard is very well done, and it is clear that a lot of work was put into it.
The first thing I noticed was the use of tabs - I do think this was a necessity in the implementation of this dashboard. My group had received feedback that it wasn't clear which buttons changed what, and I think it would have been helpful for us to see your group's use of the buttons on the top to change store location. It immediately caught my eye, and this was implemented very well.
If you were to expand this dashboard, I would recommend examining some of the following things:
I had no reference of how much one MMK was compared to the CAD, and I had to look this up independently - adding a note with a reference point (ie. 1 CAD is equivalent to more than 1000 MMK) may be helpful if there is any intention for this to be viewed by an audience in Canada. If you believe that the only users of this dashboard should be Myanmar locals, then this would not be necessary.
I noticed that when I changed stores, the heatmaps on the "Store Performance Summary" tab, the scales changed. For some heatmaps, the change was not drastic, but for "Average Customer Satisfaction", a difference in one point out of 10 is quite large, which I believe could be misleading to users. If you fixed the scale of some of these (or provided an option to do so), then I believe that comparability would improve across supermarkets.
On the "Compare Store Performance by Department" tab, I also had comments about y-scales - I think that fixing y-scales would also improve comparability here, especially on the Customer Traffic and Total Sales graphs. I do think this was an excellent use of interactivity.
In the "Compare Store Performance by Department" tab, you allow users to set their own reference point, which I think in this case is highly effective given that the example is simple to understand. I think that if you wanted to expand on this, you could add daily means, overall means, medians, or other measures that may serve as a useful benchmark for comparison.
The plots you chose are very easy to understand, which is helpful in this case. I felt that your dashboard effectively answered all of the research questions on the first tab, and there was sufficient information to make this stand alone. Great job!
The text was updated successfully, but these errors were encountered:
Overall, I want to give all of you kudos - this dashboard is very well done, and it is clear that a lot of work was put into it.
The first thing I noticed was the use of tabs - I do think this was a necessity in the implementation of this dashboard. My group had received feedback that it wasn't clear which buttons changed what, and I think it would have been helpful for us to see your group's use of the buttons on the top to change store location. It immediately caught my eye, and this was implemented very well.
If you were to expand this dashboard, I would recommend examining some of the following things:
I had no reference of how much one MMK was compared to the CAD, and I had to look this up independently - adding a note with a reference point (ie. 1 CAD is equivalent to more than 1000 MMK) may be helpful if there is any intention for this to be viewed by an audience in Canada. If you believe that the only users of this dashboard should be Myanmar locals, then this would not be necessary.
I noticed that when I changed stores, the heatmaps on the "Store Performance Summary" tab, the scales changed. For some heatmaps, the change was not drastic, but for "Average Customer Satisfaction", a difference in one point out of 10 is quite large, which I believe could be misleading to users. If you fixed the scale of some of these (or provided an option to do so), then I believe that comparability would improve across supermarkets.
On the "Compare Store Performance by Department" tab, I also had comments about y-scales - I think that fixing y-scales would also improve comparability here, especially on the Customer Traffic and Total Sales graphs. I do think this was an excellent use of interactivity.
In the "Compare Store Performance by Department" tab, you allow users to set their own reference point, which I think in this case is highly effective given that the example is simple to understand. I think that if you wanted to expand on this, you could add daily means, overall means, medians, or other measures that may serve as a useful benchmark for comparison.
The plots you chose are very easy to understand, which is helpful in this case. I felt that your dashboard effectively answered all of the research questions on the first tab, and there was sufficient information to make this stand alone. Great job!
The text was updated successfully, but these errors were encountered: