Digital Analytics / UX Research / Product Optimization
Baynote/Kibo
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Web Analysis work was performed on a daily basis at Baynote.
"Lauren works tirelessly to manually tweak recommendation quality over all our customer sites and provided valuable feedback to the engineering team in terms of tuning our algorithms. She shows an exceptional understanding of the mechanics and trade offs involved in our often highly mathematical models of user behavior."
Team Member
Baynote/Kibo
(Full recommendation viewable on Linkedin)
Team Member
Baynote/Kibo
(Full recommendation viewable on Linkedin)
Data Analysis for Covid-19
Google had very jagged data for Covid-19 deaths:
I created a graph of a rolling 7-day average. This gave us a view of if cases were really going up, on average. They were. This helped me predict what the virus numbers might be doing the following week.
About a week later, Google started doing the same rolling 7 day average.
Metta
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Expedia
(Speculative Redesign through UC San Diego Program)
In my redesign:
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Appetitely Meal Kit Delivery Service: Recapturing Users
- Problem: Appetitely (a small start-up fictional company modeled after popular meal-kit-delivery companies such as HungryRoot) has users unsubscribing from their paid service everyday.
- Research Question: Why do people unsubscribe from Appetitely? What are the top specific things, by rank, that cause this among users canceling the service?
- Method: As each customer cancels, they will see this survey prompt immediately. Survey will be given to every user that cancels over a 14 day period.
Example call to action:
Survey Design:
- A larger text box for open-ended question answers encourages more detailed response.
- Answers are NOT forced/required so that we can receive more data.
- Likert Scales (degrees of satisfaction) are balanced, and questions are designed for clarity and non-bias.
The Results:
Reasons Customers Canceled:
- Above, you can easily see that the price of the food is a major contributor to why people canceled.
- One solution: Canceling customers could be offered a discounted rate.
- Please check out the survey below to see how the questions are worded for clarity and non-bias:
Wikipedia
This project was conducted through Cooper's UX Certification Program in partnership with Wikipedia, and leveraging a group of recruited target market individuals.
Goal: Wikipedia desired more volunteer hours, and wanted to re-design their mobile app. My Method:
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More Visualization Projects in Tableau
(Shaded for a typical user and the top 8 types of color blindness)
In this visualization, it becomes clear that there's some connection between "wealth" (darker shades) and higher average "happiness scores" (5 to 7.5). (Note: Correlation does not equal causation.)
Interactive version:
To further show the correlation of money and happiness:
**Note: The cheeky title is not intended to indicate money buys happiness. The graph merely shows that money is often found where happiness is. The correlation coefficient is 0.78 (1 being the highest). It's highly correlated.