Chatbot Development for an Education Sector Client
Education, Media, Project Management
Project Overview:
Objective: Enhance user interaction, engagement on the website, and lead generation.
Challenge: Develop a chatbot in 2017 when chatbot technology was still emerging.
Approach:
Initial Steps: Began with Amazon Lex; results were suboptimal.
Pivot: Evaluated IBM Watson, ultimately choosing Google QnA for superior natural language processing.
Cost Efficiency: Created middleware to store Google QnA responses, reducing the frequency of costly API calls.
Project Management Execution:
Tools Used: Jira for meticulous project tracking, Google QnA for chatbot development, Excel for data analysis and management, and advanced problem-solving techniques to overcome technical hurdles.
Lifecycle Management: Led the project from initial conceptualization through to deployment, including post-deployment training and ongoing chatbot fine-tuning for optimal performance.
Results:
User Engagement: Boosted by 30%, enhancing website interaction.
Call Center Efficiency: Reduced call volume for basic queries by 50% over six months, freeing up resources for more complex issues.
Lead Generation: Successfully generated over 40,000 leads within the first two months of the chatbot's deployment.
Key Skills Utilized:
Strategic Project Management: Directed the entire lifecycle of the chatbot project, from initial concept to post-deployment optimization, ensuring alignment with client goals and timelines.
Technical Expertise: Leveraged Jira for efficient task management, Google QnA for advanced chatbot functionality, and Excel for robust data handling.
Cost Optimization: Engineered middleware solutions to minimize operational expenses, demonstrating a keen ability to balance innovation with budgetary constraints.
Stakeholder Communication: Ensured continuous alignment between development progress and client expectations, facilitating seamless delivery and post-launch support.
