# Sprig AI-powered enterprise surveys for research teams designing studies and analyzing feedback - Findings24: - Site: - Preços: Paid - Categorias: Analista de dados com IA, Assistente de pesquisa com IA ## O que é Sprig? Sprig is an enterprise survey platform for research teams running studies across products, customer journeys, and audiences. Its Design, Field, Analyze, and Synthesize Agents support study creation, adaptive questioning, statistical analysis, and reporting within one research workflow. Teams can conduct ongoing experience measurement or individual market and product studies. Researchers retain control over methodology, evidence, and final conclusions, while organizational access controls support research across multiple teams. The Analyze Agent is currently in preview. ## O que Sprig pode fazer? ### Agent-assisted study design Upload questions or describe a research objective to generate question flow, branching, and skip logic. Automated checks flag leading questions, bias, and broken flows. ### Adaptive conversational surveys The Field Agent asks real-time follow-up questions based on responses. Attribute piping inserts participant metadata to make questions relevant to each respondent’s context. ### Statistical analysis in plain language The Analyze Agent, currently in preview, recommends and runs methods including crosstabs, t-tests, ANOVA, and correlation. Researchers can refine and rerun analyses conversationally. ### Editable research reports The Synthesize Agent turns structured answers and open-ended feedback into reports with segment patterns and supporting evidence. Researchers can adjust findings and verify conclusions before sharing. ### Participant recruitment and quality controls Recruit through customer email lists or a global panel of 300,000+ verified respondents with 300+ filters. Screening, quotas, bot detection, and response review support data quality. ### Interactive prototype and media studies Embed prototypes, assign tasks, and capture screen activity and interaction patterns. Combine survey answers with voice or video responses, and test image and video assets within studies. ## Casos de uso ### Measure critical customer journeys Track NPS, CSAT, trust, or satisfaction at onboarding, first value, collaboration, and renewal. Connect score changes to open-ended feedback and behavioral context. ### Inform market and commercial strategy Run segmentation, conjoint, MaxDiff, pricing, and packaging studies to understand audience preferences and guide market decisions. ### Evaluate ideas before development Compare concepts, messaging, and prototype variations before committing engineering resources. Task-based studies reveal hesitation, navigation problems, and unexpected interactions. ## Perguntas frequentes ### How is Sprig priced? Pricing scales with total response volume, activated research capabilities, and deployment environments. Enterprise onboarding and support are included. The pricing page directs prospective customers to book a demo. ### Where can teams deliver surveys? Sprig supports links, email, external panels, websites, web apps, mobile apps, and QR codes. Native SDK integrations let teams deploy surveys inside web, iOS, and Android apps. ### Can researchers control AI-generated findings? Yes. Researchers can refine findings, adjust supporting evidence, and verify conclusions before sharing reports. They retain control over statistical decisions and final outputs. ### How does Sprig support confidential concept testing? Sprig supports participant NDAs, secure access controls, and organizational governance for studies involving early-stage ideas. ## Informações rápidas - **Category**: Enterprise survey platform - **Primary users**: Research, consumer insights, and product teams - **Research model**: Continuous programs and individual studies - **AI tool connection**: MCP Connector for working with Sprig data - **Website**: https://sprig.com