Project Overview
Duration
Feb 2021 – Sep 2022 (20 months)
Team / Role
Project Manager
Collaborated with 2 Data Developers, 1 System Developer, and 1 Designer
Tools
Figma, GitHub, Microsoft Office and Asana for efficient project management.
Problem Statement
Taiwan’s soil and groundwater remediation capabilities have generated a wealth of documents and case studies over the years. However, the execution teams often struggle to efficiently scan and utilize these resources. This inefficiency leads to redundant efforts on problems that might already have established solutions, resulting in unnecessary expenditure of government and academic resources.
Goals and Objectives
- Platform Resource Integration:
Centralize soil and groundwater remediation resources, including literature, research materials, and case studies, to provide comprehensive technical support for academic professionals, engineering consultants, and industry personnel. - Innovation and Inspiration:
Implement an AI-powered search function using a refined intelligent analysis engine to explore implicit correlations in text, enabling users to discover related topics and expand their thinking horizons.
Milestones
Planning & Design
Feb 2021 – Jul 2021
Led the team in defining the information architecture, wireframes, UI design, and data collection.
Development & Machine Learning
Agu 2021 – Nov 2021
Oversaw system and website development, and machine learning, including text-mining training.
Handoff & Launch
Dec 2021 – Feb 2022
Conducted demo presentations, and handoff training, and managed the platform launch.
Maintenance & Track
Mar 2022 – Sep 2022
Directed user behavior data collection and ongoing platform maintenance.
Sitemap
Challenges and Solutions
Team Collaboration
- Challenge:
Lack of proactive communication between teammates. Developers were initially passive in project progress. - Solution:
Instead of waterfall workflow which the team usually uses, implement Scrum methodology to enhance communication and keep progress on track. Including:- Daily standup meetings to sync the progress and remove the project block
- Task board in Asana to increase development efficiency.
Text-Mining Investment and Accuracy
- Challenge:
Ensuring resource allocation for text-mining and achieving accurate results. - Solution:
Aligned text analysis principles with business goals to optimize resource utilization and accuracy.
Results and Impact
🤝
On-Time and On-Budget
Successfully launched the project on schedule and within acceptable budget. The clients renewed contract.
🎯
Vision Achievement
Enabled the client to analyze over 20 years of papers, providing innovative exploration methods for the soil and groundwater industry.
💬
Text-Mining Product Development
Contributed to the developing the internal text-mining product, Textchase, marking its first application case.
♾️
Usability Feedback
Collected over 100 surveys for usability testing, leading to continuous feature improvements.
Key Contributions
- Leadership:
Directed a cross-functional team, ensuring seamless collaboration and timely project delivery. - Innovation:
Spearheaded the integration of AI-powered search and machine learning technologies, significantly enhancing the platform’s capability. - Efficiency:
Streamlined project processes using agile methodologies, resulting in a 20% reduction in project development time. - User-Centric Design:
Led the design efforts to create an intuitive and user-friendly interface.
Information Architecture
Reflection and Learnings
- Scrum Teamwork:
Learned the importance of iterative development and frequent communication through Scrum, which improved team cohesion and project adaptability, leading to more efficient problem-solving and enhanced project outcomes. - Machine Learning and Text-Mining:
Gained practical experience in applying machine learning and text-mining technologies. - System Integration:
Learned how to interface data exchange between different systems. - User Insights:
Acquired valuable insights into user behavior and preferences, informing future project enhancements.