Bankwest New 'Bee' Chatbot for web and in-app
- Ben Farrell
- Mar 31
- 2 min read
Updated: Apr 18
Bankwest Case Study: Revamping the Bee Bot

Project Overview
The previous Bankwest bot faced several challenges: poor containment, weak Natural Language Understanding (NLU), a lean scope, and a lack of persona. To address these issues, I designed a new Bee bot for both web and in-app platforms. The revamped bot comprised 48 guided flows with disambiguation, an extensive knowledge base with NLU-trained knowledge articles, and a total of 138 intents.
Design Process
The design process began with on-site workshop whiteboard sessions with the Bankwest team in Perth. These sessions were crucial for understanding the team's needs and brainstorming solutions. Using the insights gathered, I created wireframes to design guided flows in Lucidchart. I then rewrote all the content to give Bee a distinct persona, aiming to reduce abandonment by making the experience far more engaging.

Implementation and Results
The result was two sophisticated bots: one for authenticated internet banking and another for the authenticated Bankwest app. This comprehensive redesign led to a significant increase in containment, which jumped from 7% to 40%. Although a project of this scale typically takes 12 months to deliver, I completed it in just 7 weeks. Additionally, I managed the development, tuning, and QA teams to ensure the project's success.

Key Achievements
Designed and implemented 48 guided flows with disambiguation.
Developed an extensive knowledge base with 138 intents.
Enhanced the bot's persona to create a more engaging user experience.
Increased containment from 7% to 40%.
Delivered the project in 7 weeks, well ahead of the usual 12-month timeline.
Managed the development, tuning, and QA teams to ensure seamless execution.
This case study highlights the successful overhaul of the Bankwest bot, demonstrating the impact of effective conversation design and project management.

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