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Documentation Index

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Sprig transforms manual survey workflows with a system powered by research agents, enabling enterprise teams to move from question to defensible insight without compromising rigor. Traditional survey platforms rely on manual configuration, static forms, and post-hoc reporting. Sprig introduces a modern survey system where specialized agents support study design, deployment, fielding, and synthesis while preserving research standards.

Design Agent

Move from research goal to launch-ready study in minutes. Sprig’s Design Agent helps teams draft, validate, and refine complex surveys while maintaining full methodological control.
  • Build survey drafts from natural language prompts
  • Upload survey drafts and let AI build, configure, and draft your study for you

Field Agent

Sprig’s Field Agent helps you reach the right participants at the right moment and create a survey experience that feels thoughtful, relevant, and easy to complete. The result is higher response rates, higher respondent satisfaction, and higher quality answers.
  • Use AI to ask strategic follow-up questions to increase response quality
  • Use AI to ask dynamic questions of users to fill in any gaps in survey responses

Synthesize Agent

Synthesize Agent transforms structured and open-ended responses into clear, evidence-backed research narratives. Not dashboards or keyword clouds. Real analysis you can defend.
  • Reduce manual analysis with automated open-text analysis
  • Turn experience data into actionable insights with AI Insights and AI Explorer
  • Accelerate insight sharing with custom AI Study Reports aligned with your research goals

Sprig’s Native AI is available across all Sprig products:

Sprig AIIn-Product SurveysLong-Form SurveysFeedbackReplaysHeatmaps
Agent Context
AI Prompt Builder
AI File Upload Builder
AI Follow Ups
AI Dynamic Questions
AI Study Reports
Open Text Analysis
(OTA)
AI Insights
Study Summaries
Replay Themes✅ (Web only)
AI Explorer

AI Security

AI Analysis is powered by OpenAI’s GPT large language models. You can see OpenAI’s privacy policy here. Sprig sends replay clip data and survey responses to OpenAI’s GPT model to generate insights, themes, summaries and replay groupings.
Sprig does not train models using customer or user data.
Note that Sprig has established the Zero Data Retention (ZDR) agreement with OpenAI. This means that neither our data nor our customers’ data will be stored in OpenAI’s system or used to train OpenAI models.