When the company signs multi-million production deals with world-leading banks, it becomes an important issue for us to make the product robust for users across platforms. And now is the right time to make the conversational AI product really focus on comsumers and direct world-leading banks how to integrate Conversational AI into their products.
Alexa User Research
When integrating financial conversational AI with Alexa, we want to know how will people react to it, what are they expecting, is the product a success, and are we really solving an urgent needs in the market?
Our design team of 4, a UX designer, a UX researcher, a Content Strategist, and a Senior Software Engineer started the study. Out of all design methods we decided to go with Diary Study, Surveys, and Interviews to learn as much as we can how do people adopt new technologies and what we're missing in our dogfooding process.
We pay extraordinary attentions to details, such as email subject lines, email footers, privacy issues, PII (Personally identifiable information), and more. While there're still many challenges along the way, to name sone:
- Privacy and Data Scrubbing: To protect users' privacy, the senior engineer in our team built the data scrubbing feature within a week so the study could continue.
- Organizational Communication Issue: How to present the study and get approval from leadership team.
- Team Issue: We lost our UX researcher during the study, how the rest 3 members take over the project?
When to argue for users, and when to compromise and push projects forward.
- Not Enough Participants: There's not enough users, how to nudget people to actually use the product and fill out diary entry?