Survey Report Generator

 
 

Overview

I conceptualized, designed, and developed an upgraded version of our report generator that harnesses machine learning to analyze a wide array of surveys autonomously. The Modular Survey Analysis System I created has profoundly transformed the survey data analysis process, offering unprecedented flexibility, efficiency, and scalability.

 

Goal

  • My goal was to craft a solution that would enable swift analysis of diverse surveys, enhancing output efficiency while minimizing resource consumption. I aimed to design a versatile system adaptable to a variety of survey structures, eliminating the need for manual interventions or hard-coding.

 

Achievements

  • Modular Report Generation: Transitioned from a traditional hard-coded question set approach to a dynamic, modular system adept at categorizing questions.

  • Context-aware Logic: Incorporated advanced survey logic parsing to discern question interdependencies, ensuring accurate and in-depth data interpretation.

  • Autonomous Clustering Algorithm: Pioneered an innovative algorithm that autonomously sorts through open-ended responses, clusters them, assigns category names, and provides detailed descriptions of each category's content.

    • This algorithm is currently under the patenting process, reflecting its novelty and potential market value.

 

Challenges and solutions

  1. Data Diversity: Confronted challenges stemming from the heterogeneous nature of survey data.

    • Solution: Implemented rigorous data preprocessing methods to ensure uniformity in input data.

  2. Complex Survey Logic: Encountered intricate logic and dependencies in certain surveys.

    • Solution: Designed a specialized logic parser to decipher these intricacies, ensuring unerring analysis.

  3. Open-Ended Response Analysis: Open-ended responses posed significant categorization challenges due to their subjective nature.

    • Solution: Developed the proprietary clustering algorithm to categorize and describe these responses autonomously.

 

IMPACT

The Modular Survey Analysis System has:

  • Curtailed the time needed for survey analysis by 70%.

  • Resulted in a 50% savings in resources dedicated to survey analysis tasks.

Collaboration

Throughout the development process, I closely collaborated with the Director of UX Research, a Sr. Manager of Market Research, and several researchers. Their insights and feedback were invaluable in ensuring that the system met their diverse needs and expectations.

CONCLUSION

The Modular Survey Analysis System, with its robust integration of machine learning and NLP, has monumentally revamped our survey analysis methodology. Its success not only showcases the potential of leveraging technology but also underscores my pivotal role in its ideation, development, and triumphant execution.