Help users navigate the Jenni writing service ecosystem.
Client: Altum, Inc. (Startup)
- Users of Altum’s AI-assisted writing service, Jenni, needed an easier way to access information on Jenni’s dashboard.
UX Designer, UI Designer, User Researcher
Multiple users reported difficulty with accessing articles on Jenni. Altum wanted to launch features that mitigate pain points and make searching for information easy.
We hypothesized that improving the user experience of the dashboard would see a decrease in complaints and/or an increase in compliments from users.
The steps of Altum's design process are:
- Define. Defining our users and the MVP design.
- Ideate. Ideating on design possibilities.
- Test. Testing pre-release ideations.
- Observe. Observing post-release outcomes.
In the Jenni ecosystem, our various users included content writers, customers, editors, and admins.
After collecting the relevant user insights I experimented with making quick design specs that succinctly captured the design’s goals and intentions.
There were multiple features involved with the Dashboard design.
A filter system for sorting articles by category (in-progress, finished, etc).
A graph visualizing a client’s articles in their various stages (in-progress, finished, etc).
A page navigation system for more easily going through lists of article information.
A custom interface for Editors to accept/reject articles.
A payment processing page redesign.
A page with a form made of text fields for ordering articles and SurferSEO integration (a competitor service our users were also using).
A tile-based layout redesign where articles are individually clickable objects as part of the SaaS transition.
User testing was done with less resources due to competing interest in the AI-assisted word processor.
With success metrics of a decrease in complaints and/or an increase in compliments from users we saw a mixed bag of success and failures.
The Dashboard was an interesting lesson in the importance of small details combining into a major influence on a user’s experience.
My next steps would have included:
- Validating the filtering system during user interviews with clients.
- Discussing with Development if a more refined chart could be built using existing API’s.