We helped an engineering research company replace a costly, slow, and manual survey analysis process with a fully automated Python-based analysis system.
The solution transforms raw survey exports into clean, structured, and crosstabbed Excel outputs—automatically categorizing open-ended responses and breaking results down by variables such as country, user type, and business type.
What previously took multiple analysts and 1–2 days per survey can now be completed by the client in 30–45 minutes, entirely self-serve.
The client regularly runs large-scale surveys with both quantitative and open-ended questions. Their existing workflow involved:
Each new survey iteration required time, coordination, and significant cost—despite the analysis logic being largely the same each time.
We designed and built a custom Python-based automated survey analysis tool that allows the client to generate their own analysis on demand.
The system ingests raw survey export files, lets users define variables of interest and crosstab breakdowns (e.g. country × user type), automatically cleans and parses the data, and categorizes open-ended text responses. It then outputs a structured .xlsx file containing crosstabs for every requested breakdown, along with clean, analysis-ready sheets.
No manual intervention. No analyst bottlenecks.
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