NoBull SaaS

What does Sprig do?

Tool: Sprig

The Tech: User Feedback Platform

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Their Pitch

AI-native surveys for modern research.

Our Take

It's user feedback collection that actually happens inside your product instead of begging people to fill out external surveys. The AI analysis means you don't drown in responses.

Deep Dive & Reality Check

Used For

  • +**You're losing users at checkout and have no idea why** → Session replays show exactly where people rage-click and bail out
  • +**Drowning in 500+ survey responses with no time to read them** → AI auto-summarizes themes like "confusing onboarding" or "missing features" in minutes
  • +**Your UX team is making decisions based on hunches** → Heatmaps reveal users never scroll to see your key features
  • +Targets surveys to specific user segments - only ask paying customers about premium features
  • +Records actual user sessions so you can watch someone struggle with your interface in real-time

Best For

  • >Your product has high churn and you're guessing why instead of knowing
  • >You're spending weeks scheduling user interviews that 3 people actually show up for
  • >Hit product-market fit but retention is dropping and spreadsheets aren't cutting it

Not For

  • -Solo founders or teams under 20 people — you need consistent product traffic to make session replays and AI analysis worthwhile
  • -Companies wanting simple one-off surveys — this is built for ongoing user research, not quick polls
  • -Teams that need serious A/B testing capabilities — Sprig focuses on feedback over experiments

Pairs With

  • *Statsig (for actual A/B testing since Sprig's experimentation features are weak)
  • *Mixpanel (to correlate survey feedback with actual user behavior data)
  • *Slack (where your team gets AI-generated insight summaries and argues about which feedback to prioritize)
  • *Notion (to document all the user research findings in your product roadmap)
  • *Figma (where designers iterate on the UX issues that heatmaps revealed)
  • *Salesforce (to close the loop when product feedback identifies expansion opportunities)

The Catch

  • !No public pricing means you're going into sales calls blind — expect enterprise-level costs even for mid-size teams
  • !The AI insights are only as good as your survey questions — garbage in, garbage out still applies
  • !Session replays can feel creepy to users if not handled transparently, and some will opt out

Bottom Line

Embeds surveys directly in your app and uses AI to tell you why users are leaving without reading 500 responses yourself.