Hi Michael, apologies for the delayed response. I am not a programmer, so the intricacies of the system are out of my realm. However, here are my thoughts and responses to the questions above.
To make it really simple, perhaps the system could just eliminate the duplicates for each day. So if we looked at just today, and someone called 10 times, that person would just be reported once. If we look over the month, and the nodes on the graph are daily, it would just represent the unique callers for that day, essentially only reporting the caller once for each day. Yes, the person may have called 5 times during the month, one time a day for 5 distinct days of the month, that would be fine I guess…as they would be singularly reported for each day once.
Realistically, it doesnt hurt the reporting much if over the month, the same person called 5 times on different days. However, it does hurt our numbers in terms of distinct consumer demand when that same person calls 5 times the same day. So the net may be having the system remove duplicates for each day, even when reporting for the week or month or whatever timeframe. Basically Unique Callers per day.
I believe it aligns with what I wrote above, but I dont understand what is meant by chart vs. table, the ramifications. If I had a preference it would be your second option.
The chart would be like it is today, it would represent total calls regardless if a person called multiple times. It would include that. Then, if Unique Calls option was selected, the chart (just like today) would adjust numbers down to remove duplicates for each day.
The business issue is that multiple calls a day by a crazed caller skews our volume upwards, which misrepresents true consumer demand. This is a metric that is key, it helps tell us if we are gaining share of the market. The current table/graph representation doesnt get us there as it is right now. I believe the 2nd option above does. Please let me know your thoughts, thank you