Social listening for product teams
Discover what users want, track competitor products, and validate roadmap decisions with real market feedback.
Product decisions need market evidence
Internal prioritization debates are endless. Meanwhile, users publicly discuss what they want and what competitors lack.
Limited feedback channels
Support tickets and surveys capture a fraction of user sentiment. Public discussions are more candid.
Roadmap debates
Teams argue about feature priorities based on opinions. External evidence resolves debates faster.
Competitor feature blindspot
What do users think of competitor features? Their reactions inform your roadmap.
User language gap
Product teams use internal terminology. Users describe needs differently. Understanding their language improves everything.
Slow feedback loops
Waiting for formal research takes weeks. Social discussions happen daily.
Continuous product intelligence
CatchIntent provides product teams with ongoing user feedback, feature requests, and competitive product intelligence.
Feature request discovery
Find posts where users request features — for your product and competitors. Quantify demand.
Competitor product tracking
Monitor user reactions to competitor features, launches, and updates. Learn from their successes and failures.
User language mining
Learn how users describe problems and desires. Use their language in product copy and positioning.
Use case discovery
Find how users actually use products in your category. Discover unexpected applications.
Sentiment tracking
Monitor sentiment about your product and competitors over time. Spot shifts early.
How it works
Get started in minutes, not days
Set up product listeners
Add keywords for your product, features, competitors, and the problems your category solves.
AI categorizes feedback
CatchIntent identifies feature requests, complaints, praise, comparisons, and use case discussions.
Review product signals
See aggregated feedback themes and individual posts. Understand what users want.
Inform decisions
Use real feedback to prioritize features, improve UX, and make evidence-based product decisions.
Why teams choose CatchIntent
Evidence-based roadmap
Prioritize features based on real demand signals, not opinions or assumptions.
Unfiltered feedback
Reddit, X, LinkedIn, and HN users are brutally honest. Get feedback people wouldn't share in surveys.
Competitive awareness
Know what users love and hate about competitor products. Build better.
User language insights
Learn how users talk about problems. Use their language in UI and positioning.
Faster feedback loops
Daily social feedback vs. quarterly research projects. Stay current with user needs.
Use case expansion
Discover how users apply products in your category. Find opportunities you never considered.
Simple pricing,
no surprises
Pay for high-quality signals, not keyword noise. All plans include monitoring across all supported platforms.
Free Trial
$07-day free trial included with every plan. Try CatchIntent risk-free.
Basic
For solo founders testing the waters.
Pro
PopularFor teams ready to scale outreach.
Enterprise
For teams who need the best signals & full control.
Frequently Asked Questions
How do product managers typically use this?
Weekly review of feedback signals, ongoing monitoring of competitor launches, and ad-hoc research for roadmap decisions.
Can we integrate with our product management tools?
Export signals to your tools, share via Slack, or link directly from roadmap items to supporting evidence.
How do we distinguish signal from noise in feature requests?
Look for patterns. Multiple users requesting the same thing indicates real demand. Single requests might be edge cases.
Should we respond to feature requests?
Yes! Engaging with requesters builds relationships. If you build the feature, you have pre-validated users to delight.
How is this different from user research?
Complementary. User research is structured and deep. Social listening is unstructured, broad, and continuous.
Can engineers access this directly?
Yes! Some teams give engineers access to see what users say. It builds empathy and informs technical decisions.
Have more questions? Browse all FAQs or book a demo to talk to our team.