How a university research team replaced 3 tools with one chat
A case study on deploying AI.RESEARCH.MY for field survey analysis across multiple states.
The challenge
A university social science research team was conducting a multi-state survey on community health outcomes. They had three separate systems: a survey platform for data collection, a database for response storage, and Excel for analysis and reporting.
Each system required different expertise. The survey platform needed a trained administrator. Database queries required SQL knowledge. Excel analysis required statistical proficiency. Only one team member had all three skills, and she was spending more time on tooling than on actual research.
The deployment
AI.RESEARCH.MY was connected to their survey database and configured with access to their project file directory. Each team member was given a user account linked to their phone number. Setup took under 30 minutes.
The team immediately started asking questions they’d previously needed to submit as SQL requests: “How many responses did we get from Selangor this month?” “Compare completion rates between urban and rural respondents.” “Show me the age distribution for Question 12.”
The results
Within the first week, every team member — regardless of technical skill — was querying the database directly. The principal investigator generated her first interactive dashboard from her phone while waiting at the airport. A field coordinator created a regional comparison report during a lunch break.
The three-tool workflow collapsed into one: send a message, get an answer. Report generation time dropped from days to minutes. The team member who previously spent hours writing SQL queries was freed up to focus on research methodology and data interpretation.
“We went from requesting reports to generating our own insights. That changed everything about how fast we could iterate.”
