Project Overview
- User groups reflected desire for more digital capabilties such as chatbots for common
- Wanted to explore chatbot capabilities within global wealth asset management
My Contribution
- Product manager managing the initiative, working 2 engineers and 1 designer and 1 analyst
Discovery
- Performed secondary research on chatbot usages and implementation guidelines through academic papers and competitor analysis
- Worked closely with product and operations teams to explore areas that are suitable for chatbot
- Job shadowed call center representatives to understand existing pain points
- Technical proof of concept to explore various frameworks and capabilities
Pain Points
- Participants can only find out the status of their withdraw requests by phoning the call center
- Wait time is over 20 minutes to get through to a call representative, and they are only available Monday to Friday during work hours
- Need guidance to understand the different types of withdraws, but the website is difficult to navigate
- Anticipate high number of tax inquiries at the end of the year
Ideation
- Given there was no direct access to participants, the team worked closely with call center representatives who frequently interacted with participants to design the dialog flow through a series of ideation sessions
- Created low fidelity prototypes for Q&A vs. open-text chatbot, created scenarios and posted on usertesting.com for feedback. Result showed that users preferred the structured approach of Q&A chabots given its limited scope
- Worked closely with product teams to design and integrate the chatbot into the existing website
Pilot
- Limited scope with withdraw inquiries and basic tax questions
- Question-and-answer based implementation instead of open dialogue
- Survey for user feedback on experience and areas of improvement
- Tracking statistics on usage and areas of breakdown
Outcome
- Over 1000 participants have accessed the chatbot, with 70% repeated users
- Demographics spread across different age groups and geographical locations
- Mixed feedback, users wanted more transactional capabilities (e.g. taking out a loan through the chatbot)
- Analyzed usage statistics, identified and prioritized areas for continuous development
Technology Stack
- Microsoft Bot Framework
- NodeJS
- React
- PowerBI