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Analytics Dataset: Peer Assignment Setup
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Analytics Dataset: Peer Assignment Setup

Analytics Dataset: Peer Assignment Setup

Introduction to Peer Review Assignment: Analytics Dataset To conclude Module 7, we will be completing a multi-step peer review assignment. To complete this assignment, you will have to follow the directions below, and once you’ve submitted your assignment, your submission must be reviewed by two of your peers (following our rubric) to receive credit for the activity. This assignment will comprise 17% of your final grade, so please pay close attention to all of the directions below.

Directions for the Assignment 1. First, download the Analytics Dataset. Choose the file format that works best for you:

Analytics Dataset(xlsx).xlsx Analytics Dataset(ods).ods 2. Spend at least one to two hours reviewing the data using a variety of methods. This might take the form of:

Assessing trends over time Calculate averages and other statistical measures as appropriate Create and review charts or other visual representations of the data 3. Compose at least one user-focused research question that you can answer with the analytics data you have available.

  1. Write up three findings from the data and support them with examples. These findings must go beyond a simple repetition of what the data says and speak instead to what it means. For example,

What design decisions might you make on the basis of your observations? How might you change the pathways on the site that support common behaviors on the based on your findings? Who is currently using the site? 5. Write a reflection that speaks to your experience reviewing the data. Consider:

What types of data were most useful. Why? What, if anything, was missing? What would help you to know more about the site experience? What approaches were most successful in helping review the data? Which were the least? Why? Rubric for the Peer Review Assignment Here is an outline of the rubric for the assignment:

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UX Research at Scale: Surveys, Analytics, Online Testing

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