Survey Builder: No-Code Programming Platform for Market Research

No-Code Platform
AI Integration
Cost Reduction
LATAM Scale
Challenge

Our teams were spending too much time manually programming surveys using outdated tools like LimeSurvey, often copying logic from Word/PDFs and adjusting syntax line-by-line. This slowed down delivery and increased dependency on external vendors.

We also lacked consistency across surveys, making analysis and dashboard integration harder. Clients increasingly asked for faster, branded, mobile-friendly experiences.

Research Conducted:

  • 15+ interviews with internal survey programmers and ops managers in Brazil and Colombia
  • Competitive analysis of Qualtrics, Alchemer, SurveyMonkey and QuestionPro
  • Audit of 50+ past surveys to map common logic patterns and edge cases
Goals / KPIs
๐Ÿ“‰Eliminate outsourcing of survey programming
โฑ๏ธCut average programming time per project by 50%
๐ŸงชEnable support for randomization, skip logic, piping, and quota control
๐Ÿš€Drive adoption across internal teams and at least 3 external clients in LATAM
Process
1

Discovery & Scoping

Defined MVP based on top 5 recurring use cases: simple single-question surveys, conditional blocks, logic jump, randomized groups, and multi-language support. Created personas for internal power users vs. external research clients.

2

Prioritization Framework

Used RICE to balance internal cost-saving features vs. external usability wins. Prioritized early AI parser + reusable logic templates to reduce time-to-launch.

3

Team Collaboration

Weekly design reviews with UX, biweekly engineering syncs to assess performance and frontend complexity (Vue + Node.js), embedded QA early to cover edge-case logic flows.

4

Technical Tradeoffs

Initially scoped SPSS support for exports, deprioritized for faster MVP release. Used Vue.js over React to match internal dev team's existing expertise. Built real-time preview builder with async save logic and input validation.

Outcomes
Eliminated
Third-party programming in 6 months
8h โ†’ 2.5h
Cut internal programming time per survey
$180K+
Saved per year in programming outsourcing costs
5+ Countries
Adopted by teams in Brazil, Mexico, and Central America
AI Parser
Became core differentiator for auto-detecting logic
Learnings

Power Users Demand Control

"Power users" demanded more control than MVP provided. We added custom JS logic blocks post-launch.

Client Focus on Branding

Client-facing users cared less about logic and more about branding. This led to development of custom theme editor.

AI Parser Success

Our AI parser (which auto-detected questions/logic from word documents) became a surprise hit and core differentiator