Our Story

The story behind Domandata.

Why we built survey research software tailored for social science.

Why We Started

We set out to end the frustration of coding hacky workarounds for standard research designs.

We started building surveys for academic social science research and quickly hit a wall. While designing our studies, we found that virtually everything we wanted to make had to be a technical workaround.

Qualtrics was the only software powerful enough to actually support academic surveys, yet it was burdened with corporate marketing features. Standard research tasks—like creating randomized treatment conditions, routing branching paths, or dynamically piping in text—demanded writing custom JavaScript code inside survey blocks and scripting complex branching networks.

This level of programming overhead far surpasses the standard methodological training of most social science scholars. Researchers shouldn't have to spend hours debugging custom script blocks and building fragile workarounds just to run a clean experiment.

Tired of fighting bloated corporate systems, we decided to build a visual, calm, methods-aware survey builder designed specifically for social science. We built Domandata to bring distraction-free question composition, visual flow diagrams for respondent routing, and analysis-ready data exports into a single workspace, letting you focus on your research instead of code.

The Pain Points

Why legacy survey tools fall short.

Building research studies shouldn't feel like fighting your software. We designed our builder to eliminate the three largest bottlenecks in academic surveys.

Corporate enterprise bloat

Legacy survey builders are designed for commercial customer feedback and NPS tracking, not academic research. Interfaces are cluttered, features are locked behind expensive enterprise pricing tiers, and academic requirements are treated as niche edge cases.

Frustrating code workarounds

Creating basic randomized treatment conditions or piping in dynamic text in legacy tools should not require writing custom JavaScript blocks or debugging complex, hidden logic trees. It demands too much programming ability from social scientists.

Design separated from analysis

Traditional platforms isolate the survey builder from the final dataset. This results in hours of painful, manual data cleaning, labeling variables, mapping assigned treatments, and reconstructing randomization history in R, Stata, or Python.

Our Philosophies

A better way to build research studies.

By putting academic methodology first, we built a workspace that respects the relationship between survey design, respondent routing, and clean data analysis.

Methods-aware survey design

Domandata is designed from the ground up for academic social science. Question composition, Likert grids, and experimental randomizations are structured around real survey research methods, not customer satisfaction forms.

Visual logic & transparency

Branches, randomized treatment groups, screeners, and quota blocks are modeled visually in Flow. You and your co-authors can inspect respondent paths and verify the experimental design before launching.

Exports ready for analysis

Responses leave the builder with variable names, recodes, assigned treatment values, randomized field orders, and codebook details intact, so data can be audited and read alongside the questionnaire.

Try Domandata with a real research workflow.

Start building instruments, visual flows, previews, and exports optimized for academic science.

Create Free Account Read Help