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Adobe AD0-E406 Exam - Topic 2 Question 12 Discussion

An organization ran a test with Adobe Anal/tics as a reporting source. The activity design further enhances a very popular filtering feature on their site. When carrying out an early analysis of the results, they noticed that it is not performing as well as expected.What should they do to determine if this is due to novelty effect?
A) Find a metric that is impacted positively by the change, and make this the primary metric.
B) Segment the results by new and returning visitors, and compare their usage.
C) Alter the traffic distribution to reduce the volume of traffic to the underperforming experience.

Adobe AD0-E406 Exam - Topic 2 Question 12 Discussion

Actual exam question for Adobe's AD0-E406 exam
Question #: 12
Topic #: 2
[All AD0-E406 Questions]

An organization ran a test with Adobe Anal/tics as a reporting source. The activity design further enhances a very popular filtering feature on their site. When carrying out an early analysis of the results, they noticed that it is not performing as well as expected.

What should they do to determine if this is due to novelty effect?

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Suggested Answer: A

by Pamella at May 07, 2022, 10:29 PM

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Joanne
10 months ago
Not sure if changing traffic distribution will help at all.
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Rikki
10 months ago
Definitely need to segment by new vs returning visitors!
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Tayna
10 months ago
Wait, is the novelty effect really that impactful?
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Jenise
10 months ago
I disagree, A could skew the results too much.
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Luisa
10 months ago
B seems like the best option to understand the novelty effect.
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Malissa
11 months ago
Reducing the traffic to the underperforming experience seems like an odd approach. Wouldn't we want to understand what's causing the issue first before making changes like that? I'd start with the segmentation idea.
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Chaya
11 months ago
Segmenting by new and returning visitors is definitely the way to go here. That will help us understand if the underperformance is being driven by the novelty wearing off over time. Solid strategy.
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Erinn
11 months ago
I'm a bit confused on this one. Is the goal to find a metric that shows a positive impact, or to determine if the change is just a novelty effect? I'm not sure which approach would be best.
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Denna
11 months ago
Okay, I think I get it. We need to see if the new filtering feature is only impacting new visitors, which could indicate a novelty effect. Segmenting the data is a smart move.
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Merri
11 months ago
Hmm, this seems like a tricky one. I'd probably start by looking at the segmentation of new vs. returning visitors, that seems like the most direct way to check for a novelty effect.
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Xuan
12 months ago
I'm not entirely sure about this one. The question is a bit vague on the specifics of what we need to do. I'll have to read it carefully and think it through.
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Leontine
12 months ago
Hmm, I'm a bit unsure about this one. The formula seems familiar, but I want to make sure I understand it fully before selecting an answer.
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Patrick
12 months ago
This is a great opportunity to apply my knowledge of lipid-lowering therapies. I feel confident I can analyze the information provided and select the best pharmacological agent for this patient.
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Tori
12 months ago
I looked at a similar question before, and it mentioned that users can have multiple buckets, so option A could be misleading.
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