Product feedback software built for product teams

Great products are built on evidence, not opinions. But for most product teams, user feedback is scattered across Slack threads, support tickets, and one-off spreadsheets—impossible to prioritize against. Responsly brings in-app feedback, concept validation, and trended feature requests into one system, so every roadmap decision is backed by what users actually do and say.

Power your product experience program with app surveys, branching research flows, and Athena AI that turns open-text responses into clear themes in seconds. Start from ready-made product survey templates and customize them for your roadmap.

Build a continuous product listening loop

Stop waiting for quarterly research cycles. Field feedback at the exact moments that matter and keep a steady signal flowing into sprint planning:

• In-app micro-surveys — measure satisfaction and task success right after key actions, while context is fresh.
• Feature request capture — tag and trend asks from power users and churn-risk accounts so the loudest voice doesn’t win by default.
• Concept and PMF tests — compare positioning and measure “how disappointed would you be without this?” before engineering commits.

Collaborate with research teams on methodology, and own the velocity of in-product fielding yourself.

Catch problems before they become churn

Don’t wait for users to open a support ticket. Make it effortless to flag issues from any screen, and capture passive signals everywhere users already are:

• Feedback on every page — surface scores per feature or page so you instantly see what needs work and where to focus.
• Spot unhappy users early — turn frustration into a conversation instead of a cancellation, and keep users engaged.
• Build with intent — design features around real evidence, not assumptions or the loudest stakeholder.

Turn feedback into roadmap priorities

Collecting input is easy; deciding what to build is the hard part. Make feedback decision-ready instead of a backlog of anecdotes:

• Quantify demand — tag and trend feature requests so frequency and segment value—not the volume of Slack pings—drive priority.
• Weight by impact — combine request counts with account tier, churn risk, and expansion potential to score what actually moves the business.
• Validate before committing — run product-market fit and concept checks so engineering builds against evidence, not the loudest stakeholder.

Athena AI clusters open-text themes automatically, so a quarter of feedback becomes a ranked shortlist in minutes—not a week of spreadsheet tagging.

Ship with confidence

Pair product listening with accelerate product innovation outcomes and reduce research cost efficiency plays. When product and research share Responsly, handoffs disappear and insights reach the team while they still matter.

Product teams stop being the department that “checks with users sometimes” and become the team that measures every bet—and ships what users actually need.