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Sprig

ANALYTICS
Velocity3.8

Sprig is layering AI agents on top of every step of the survey pipeline.

user-researchai-agentssurveyspersonalizationenterprise-tier
◆Current state
Sprig has spent six months turning surveys into an AI-augmented research pipeline. November opened with Conversational Surveys and MaxDiff. Q1 added Attribute Piping for personalization, Display Logic on Enterprise, AI Follow-up Question for adaptive probes, and prototype testing improvements. April delivered AI Dynamic Questions and the Synthesize Agent's AI Study Report. Two distinct threads run in parallel: classic survey-tooling depth, and named AI agents that handle the parts humans used to.
◆Where it's heading
The product is moving from a survey runner to an end-to-end research workflow with agents at the question, response, and analysis layers. Enterprise gating shows up consistently on the AI features, signaling that AI is the upsell. Expect more named agents (segmentation, recommendation, trend tracking) and tighter ties between agent outputs and product analytics.
◆Prediction
The next directional move likely connects agent insights back into product surfaces and growth experiments, closing the research-to-action loop. AI Dynamic Questions and Display Logic should converge into a single adaptive-flow primitive available beyond Enterprise.

◆Recent moves

  1. 1mo ago

    New: AI Study Report

    ⚡ SPARK

    AI Study Report uses Sprig's Synthesize Agent to convert raw responses into editable, shareable structured reports. Closes the research loop from response capture to insight artifact without manual analysis.

    View source ↗
  2. 2mo ago

    AI Dynamic Questions

    AI Dynamic Questions ship as an Enterprise-only feature, building on the Follow-up Question pattern from February. Tightens the AI-survey-flow story for paying customers.

    View source ↗
  3. 2mo ago

    Prototype Testing Enhancements

    Two enhancements to Prototype Testing strengthen the concept-validation use case. Sparse on detail in the entry but fits the broader research-platform expansion.

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  4. 4mo ago

    AI Follow-up Question

    ⚡ SPARK

    AI Follow-Up automatically generates personalized open-ended probes based on each respondent's answer, replacing manual branching logic with adaptive AI. Pushes Sprig past static surveys into AI-conducted interviews.

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  5. 4mo ago

    New: Display Logic

    Display Logic comes to Long-Form, In-Product, and Feedback studies on Enterprise. Standard branching capability that closes a parity gap.

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  6. 4mo ago

    New: Attribute Piping

    Attribute Piping pulls stored user attributes into question text and descriptions in real time, replacing generic prompts with tailored ones. A foundational personalization primitive.

    View source ↗