Let's break down the steps to determine the impact level of shipping errors on customer questions:
1. Collect the percentage increases:
- Customer questions increased by 8% in Month 1, 10% in Month 2, and 12% in Month 3.
- Shipping errors increased by 2% in Month 1, 4% in Month 2, and 4% in Month 3.
2. Calculate the cumulative increase:
- Sum the percentage increases for customer questions:
[tex]\[
8\% + 10\% + 12\% = 30\%
\][/tex]
- Sum the percentage increases for shipping errors:
[tex]\[
2\% + 4\% + 4\% = 10\%
\][/tex]
3. Determine the ratio of cumulative shipping errors to customer questions:
- The ratio is calculated by dividing the cumulative percentage increase in shipping errors by the cumulative percentage increase in customer questions:
[tex]\[
\frac{10\%}{30\%} = \frac{1}{3} \approx 0.333
\][/tex]
4. Classify the impact level based on the ratio:
- The impact levels can be classified as follows:
- Less than 0.1: Not impactful
- Between 0.1 and 0.5: Moderately impactful
- Between 0.5 and 1.0: Impactful
- Greater than or equal to 1.0: Extremely impactful
- Given our ratio of approximately 0.333, it falls within the range of 0.1 to 0.5.
Thus, the impact of shipping errors on customer questions is classified as:
[tex]\[ \boxed{\text{Moderately impactful}} \][/tex]
