Quizzard
It can be difficult to know where to start when searching for a new product or service. I had a key role in building the "Quizzard" recommendation tool which helps users start their search on the right foot by making a recommendation based on their identified needs.
Brief
Identified a vendor and built a workflow for recommending products for users based on their existing needs.
Challenges
Running research on users’ needs, we found many users were starting a search with little background knowledge of the product or service they were exploring. To address this challenge, our product teams suggested rolling out a product recommendation tool, but they wanted to build it internally.
While reviewing this project, I identified two main challenges:
Product teams would need to be able to create recommendation quizzes. The infrastructure needed to do this would be nearly equivalent to building a second application.
The UX for this tool would likely be difficult to do well internally because of lack of resources and development expertise in app design.
I also identified some secondary challenges:
The quiz may need fairly complicated logic to correctly calculate the test results, meaning the logic for each quiz would be significantly different.
Historically these tools had limited success because of a few major issues, they: were not scalable to other products or verticals, were not well tied into our existing content, used external tools with poor UX.
Solutions
Identified potential technology solution in Typeform.
Created a proof of concept test and communicated with vendor.
Created wireframes and sample user flows to communicate approach.
Designed final result pages.
Built a kitchen sink test showing all prompt variations.
Built the first two tests to kickstart production onboarding.
Created tests for other U.S. News verticals that use the current search application and requires virtually no development work.
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