My roles included:
- Analyzing the KPIs of the client sites' Google Analytics
- Creating mock-up recommendations and writing report
- Presenting final presentation deck
Our team of four worked collaboratively to submit a written report and presentation as our final deliverable to Ingenium.
Summer 2021, 4 Weeks
1. Misrepresentation of Audience
2. Only Quantitative Data
Google Analytics is not fine-grained for categories such as gender but, instead, solely relies on a male/female dyad for all gender assignments. This may mis- or over-represent binary gender categories while mis- or under-representing non-binary gender categories.
Google Analytics provides copious amounts of quantitative data that reflects what users do but does not provide qualitative data regarding why they do it.
3. Unclear Impact of the Design Changes
4. Unclear Impacts from Covid-19
Without explicit information regarding the exact changes made in the redesign process, and an A/B comparison analysis, there is insufficient data to gauge what impact, if any, a particular change may or may not have had.
The roll out of the redesign during the global COVID-19 Pandemic also has injected a large degree of uncertainty into the performance numbers as it is unclear how, exactly, the closure of the various museum properties as well as changes to browsing and information-seeking behavior may have impacted the performance of each site.
“On the information page, I wish I could click the author, the room number," view more information related.”
Many participants were confused about the Spanish used in the labels on the navigation menu.
Combine the two pages Highlighted Works and 50 Selected Works into one page and rename it as 50 Highlighted Works. This action would reduce users’ options, lower users’ cognitive load and also reduce redundancy in the menu.