Overview
Botler is an AI-powered chatbot that directs users to injury reporting and compensation information effectively. Botler removes the inbetween steps involved in searching for important information like documents, forms, and more by guiding the user directly to them.
My role
Interaction Designer
Visual Designer
Prototyper
Team
1 Product Manager
1 Designer (Me!)
2 Developers
2 Content Specialists
Technologies
Figma
React
Drupal
Dialogflow
What is the WSIB?
The WSIB provides workers compensation for 5 million injured workers in 300k regulated workplaces. Our Innovation Lab of 12 works with WSIB often for new ideas and business needs. At the time, our team was working on 3 projects.
An internal research study ...
showed that there was a growing negative sentiment behind workers compensation after speaking with hundreds of employers and injured workers.
WSIB's website is information rich, but not targeted.
The increase in claims over 3 years meant that many more people were going through the claims process. New injured workers and employers want to feel supported during the process and often access the WSIB website. The WSIB website is has tons of resources, but those resources are not that accessible.
An opportunity.
A chatbot as a proposed solution?
Our team thought of many ideas like ...
- Reworking the current website’s IA to prioritize key information
- Redesign the FAQs page to be more accessible and useful
- Improving the search page with better results
However, referencing the chatbot projects we were going to be working on when enter Q1 of 2021, I had another idea.
Key decision.
Constraints.
- Must support WSIB accessibility guidelines (AAA standards and design language)
- Must work with Drupal (WSIB’s website is built on it)
- Complete the end-to-end design and development process in 3 weeks before we show stakeholders (WSIB Executives and Internal Team Leads)
Early design work.
High Fidelity.
Handoff was collaborative and feedback based.
The designs were shared early with developers to get them thinking about feasibility / implementation. The Dialogflow model was being trained and developed in parallel with design and content work. We implemented the design in 3 days (2 weeks in), allowing us to conduct a usability study for the week.
1 week user test + impact.
Changes in the final version.
Learnings.
- User needs + chatbots = amazing pairing
- Guided users to helpful info while improving the understanding of the process
- Made info on the WSIB website more accessible
- The 3 weeks were extremely fast-paced, but it forced me to make effective decisions quickly
Next steps
Stakeholder were happy with the 1 week test and gave Botler the greenlight for far-future implementation. When Botler goes live (hopefully in 2022), measure satisfaction, user retention, and bounce rates over a longer period. Lastly, we should also look into training Botler with more complex situations.