Top 10 accounts: 4-week sales ending January 31st Account A B C D E F G...

  

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Top 10 accounts: 4-week sales ending January 31st Account A B C D E F G H 1 J Sales Volume % Change vs prior $15,753 3.60% $294,164 3,20% $21,856 -1.20% $547,265 5.60% $18,496 -4.70% $43,986 -2.40% $86,734 10.60% $11,645 $11,985 37.90% -0.70% $190,473 -8.70% Avg # of % ACV UPCs Selling 1.15 1.75 1.00 1.10 1.00 2.73 1.00 1.00 1.00 1.00 98 3 8 8 8 3 38188 84 89 92 92 100 85 22 72 Price per Pound $10.43 $15.76 $12.74 $9.45 $14.85 $12.86 $17.32 $11.43 $20.82 $11.24 UPC is the Universal Product Code, the barcode symbology. ACV is All-Commodity Volume, measured as a percentage from 0 to 100. FIGURE 4.6 Practice focusing attention within this table QUESTION 1: Let's assume Sales Volume is the most important data in this table and that the rest of the data is there for additional context or because we know people in our audience will want to see it. We've already positioned it as the first column of data, but what else can we do to direct attention or make this data easier to process? QUESTION 2: Account D is much bigger in terms of sales volume than any of the other accounts, yet it takes some time staring at this table to figure that out. How could we draw our audience's attention to Account D more quickly? List three specific strategies you could use to set this row apart from the rest. Which do you like best and why? QUESTION 3: Let's continue with our focus on Account D. What if, within Account D, we wanted to highlight the low Price per Pound? How could you achieve this? QUESTION 4: Let's reset and say you want to focus attention on the relative Price per Pound within this table. Does this change where you would position this Top 10 accounts: 4-week sales ending January 31st Account A B C D E F G H 1 J Sales Volume % Change vs prior $15,753 3.60% $294,164 3,20% $21,856 -1.20% $547,265 5.60% $18,496 -4.70% $43,986 -2.40% $86,734 10.60% $11,645 $11,985 37.90% -0.70% $190,473 -8.70% Avg # of % ACV UPCs Selling 1.15 1.75 1.00 1.10 1.00 2.73 1.00 1.00 1.00 1.00 98 3 8 8 8 3 38188 84 89 92 92 100 85 22 72 Price per Pound $10.43 $15.76 $12.74 $9.45 $14.85 $12.86 $17.32 $11.43 $20.82 $11.24 UPC is the Universal Product Code, the barcode symbology. ACV is All-Commodity Volume, measured as a percentage from 0 to 100. FIGURE 4.6 Practice focusing attention within this table QUESTION 1: Let's assume Sales Volume is the most important data in this table and that the rest of the data is there for additional context or because we know people in our audience will want to see it. We've already positioned it as the first column of data, but what else can we do to direct attention or make this data easier to process? QUESTION 2: Account D is much bigger in terms of sales volume than any of the other accounts, yet it takes some time staring at this table to figure that out. How could we draw our audience's attention to Account D more quickly? List three specific strategies you could use to set this row apart from the rest. Which do you like best and why? QUESTION 3: Let's continue with our focus on Account D. What if, within Account D, we wanted to highlight the low Price per Pound? How could you achieve this? QUESTION 4: Let's reset and say you want to focus attention on the relative Price per Pound within this table. Does this change where you would position this

Answer rating: 100% (QA)

QUESTION 1 To further direct attention and make the Sales Volume data easier to process you can consider the following strategies 1 Align the column header Ensure that the column header for Sales Volu... View the full answer