WhyQ's researchers were managing thousands of respondent profiles spread across 15 years of Google Sheets. Finding the right participants for each project meant manually searching through countless files, causing delays and potentially missing ideal candidates.
Developed custom parsing algorithms to transform thousands of unstructured Google Sheets into a normalized, searchable databaseImplemented AI-powered profile enrichment using Large Language Models to generate comprehensive participant biosCreated an intuitive search interface with semantic matching to help researchers quickly find ideal respondents based on complex criteriaBuilt automated quality scoring to surface the most reliable and engaged participants
The new platform has revolutionized WhyQ's recruitment process: - Reduced participant search time from hours to minutes - Improved match quality through comprehensive profile analysis - Enabled discovery of previously overlooked qualified candidates - Streamlined researcher workflows with instant access to verified participant histories This dramatic efficiency gain allows WhyQ's researchers to focus on what matters most: conducting high-quality research with the right participants.
