Survey programming
Generate a survey from your Word document, including branching, quotas, and validation. Review the build before fielding.
For research agencies
Survey automation from questionnaire to report.
Survey automation reduces the manual work of programming, QA, fieldwork, analysis, and reporting. The MX8 Labs Research Platform programs surveys from your questionnaire document, monitors responses, and drafts reports from the results. Your team controls the study design, reviews the build, and approves the interpretation.
What survey automation handles
QA and fieldwork checks
Test survey paths before launch, then monitor response quality during fieldwork. Your team reviews flagged issues.
Analysis and reporting
Update crosstabs, code open-ended responses, and draft reports as data arrives. Check the findings before sharing them.
Connect results to your reporting tools
- Retrieve survey data and reports through the read-only API.
- Feed results into BI dashboards, automated analysis, or AI reporting workflows.
- Compare survey waves and monitor response counts from your own tools.
See the API documentation for authentication, endpoints, and examples.
Wunderkind's study costs and volume
- Wunderkind went from two studies a year to 24+, with no increase in budget.
- Its reported production cost per study fell from roughly $23,000 to about $6,200.
- Your savings depend on the study scope, sample costs, and work your team automates.
Read the Wunderkind case study for the comparison and its source.
Where to start with survey automation
Recurring brand trackers
Reuse the questionnaire, sample plan, and report template for each wave of a brand tracker. Automation reduces repeated setup and reporting work. Your team still checks sample composition, question changes, and comparability before interpreting a trend. Choose the frequency around the decisions you need to make and the sample you can recruit.
Concept and message tests
For concept testing, start with a reusable set of questions and adapt it to the ideas you need to compare. Automated programming and reporting can shorten production, but fieldwork timing still depends on audience availability, survey length, and required sample size. Agree those requirements before committing to a delivery date.
Custom research studies
On a one-off study, compare the time your team spends on programming, testing, data processing, and reporting with an automated workflow. Review the outputs at each step. Then use the measured time and costs to decide which tasks to automate on your next project.
Ready to replace manual research operations?
Compare setup time, costs, and outputs on one of your own studies.