RESEARCH | ANALYSIS | DESIGN | WIREFRAMES | PROTOTYPE
The Royal Navy aimed to leverage cutting-edge technology to enhance their recruitment process. The challenge was to develop an AI Assistant capable of providing personalised assistance and support to candidates while seamlessly integrating with the existing recruitment platforms. Usability testing was crucial to validate the AI Assistant's performance and gather insights for further refinement.
I led the research, user testing, and design phases of this project from start to completion. Collaborating closely with the Royal Navy recruitment officers, the Innovation teams at WaveMaker, and Great State, I aimed to gain a comprehensive understanding of user behavior and address the business needs effectively.
The initial phase, which lasted six months, was followed by a second phase involving a new website update that took an additional five months.
I initiated the project with a hands-on approach, conducting on-site research at the Armed Forces Careers Office (AFCO). By immersing myself in the environment, I gained invaluable insights into user needs, business requirements and pain points for both potential candidates and recruitment officers, laying a solid foundation for the development of effective solutions.
Collaborated closely with the Royal Navy to design and implement an AI Assistant tailored to the unique needs of their recruitment process.
Ensured the AI Assistant's integration with the recruitment platforms for a cohesive and intuitive user experience.
Conversational AI Journey: To gather insights on user interactions with the platform through detailed research sessions.
User Experience and expectations: To explore the overall user experience and their expectations when engaging with the platform.
Identify Usability issues: To pinpoint areas of improvement for enhancing the chat service's usability.
Comfort level with human-like chatbots: To assess user comfort when interacting with a chatbot that features a human-like image.
During the initial design phase of the Royal Navy chatbot, I collaborated with stakeholders to gather requirements and align on goals. I organized design workshops with the internal team to brainstorm, sketch concepts, and conduct journey mapping to ensure a seamless user experience. This process helped us iterate on solutions and meet project objectives.
During journey mapping, I worked with stakeholders and the internal team to outline the user’s interactions with the chatbot. This involved identifying key touchpoints, pain points, and opportunities to enhance the user experience.
The insights gained from this process informed our design decisions and helped create a more user-friendly chatbot.
We conducted four rounds of research, engaging participants in comprehensive usability testing sessions. These sessions aimed to assess the performance and user experience of the AI Assistant while also determining its usability for their specific needs.
Participants interacted with the chatbot across various scenarios, providing valuable feedback on its effectiveness and areas for improvement.
1. Personalisation Features:
Suggested incorporating personalised features to make the AI Assistant interactions more tailored to individual candidates.
2. Expanded Knowledge Base:
Recommended continuous expansion of the AI Assistant's knowledge base to handle a wider range of queries and scenarios. This will involve Open AI implementation.
3. User-Friendly Interface:
Proposed enhancements to the user interface for increased clarity and ease of use. Collaborating with the Great State design team will be key to match the new look and feel of the chatbot design new UI design.
AI Assistant Performance:
Successfully developed and deployed an AI Assistant that demonstrated efficiency in providing information, answering queries, and guiding candidates through the recruitment process.
Monitored and addressed any technical glitches or limitations identified during the testing phase.
Usability Insights:
Gathered insights from 40 participants through usability testing, identifying strengths and areas for enhancement in the AI Assistant's interaction flow.
Participants' feedback informed iterative improvements to optimize the user experience.
The implementation of the AI Assistant marked a significant advancement in the Royal Navy's recruitment process. By combining the power of artificial intelligence with usability testing insights, we aimed to create a more engaging and user-friendly experience for candidates, ultimately contributing to a more efficient and successful recruitment process.
This collaborative effort with the Royal Navy exemplifies the combination of AI technology and user-friendly design. The AI Assistant not only makes the recruitment process smoother but also shows the commitment to using innovation for the benefit of the Royal Navy and job applicants. We carefully tested its usability to make sure it works well and meets the needs of users.
Royal Navy AI Virtual Guide - a sophisticated web-based conversational AI assistant, created to support candidates through their joining journey, from the outset.
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