Sprig vs Humanloop

Detailed side-by-side comparison to help you choose the right tool

Sprig

🟢No Code

Business Analytics

AI-powered product experience platform that analyzes user behavior, surveys, and session replays to surface actionable insights.

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Starting Price

Custom

Humanloop

🟡Low Code

Business Analytics

Former LLMOps platform for prompt engineering and evaluation, acquired by Anthropic in August 2025. Technology now integrated into Anthropic Console as the Workbench and Evaluations features.

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Starting Price

Discontinued

Feature Comparison

Scroll horizontally to compare details.

FeatureSprigHumanloop
CategoryBusiness AnalyticsBusiness Analytics
Pricing Plans8 tiers36 tiers
Starting PriceDiscontinued
Key Features

      Sprig - Pros & Cons

      Pros

      • AI Studies provide instant answers to product questions
      • Behavioral targeting ensures surveys reach the right users
      • Open-ended response analysis saves hours of manual work
      • Strong integrations with product analytics ecosystem

      Cons

      • Session replay features less mature than dedicated tools like FullStory
      • Free tier very limited at one study per month
      • Pricing jumps significantly from Free to Starter
      • AI insights quality depends on survey design and response volume

      Humanloop - Pros & Cons

      Pros

      • Core evaluation technology preserved and enhanced within Anthropic's enterprise platform with direct model provider integration
      • Pioneered evaluation-driven development methodology that became an industry standard for LLMOps
      • Prompt-as-code approach with version control, branching, and rollback brought software engineering rigor to prompt management
      • Human-in-the-loop workflows enabled domain experts to contribute to model improvement without engineering knowledge
      • Anthropic integration means evaluation tools now have native access to Claude model internals for deeper testing capabilities

      Cons

      • No longer available as a standalone product — requires commitment to Anthropic's ecosystem for continued access
      • Teams using non-Anthropic models (GPT, Gemini) lose access to Humanloop's model-agnostic evaluation capabilities
      • Migration from standalone Humanloop to Anthropic Console required significant workflow changes for existing customers
      • Some advanced features from the standalone product may not have full parity in the integrated Anthropic Console version

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