Software & Online Products

Understand what your users experience. Not just what they report.

Support tickets and NPS scores show you what broke and how loyal people feel. Qria goes deeper. Collect structured feedback at key moments in the user journey and use AI to understand what is actually happening in your product.

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Why Qria

Capture feedback at the moments that matter most

Trigger a feedback form after onboarding, a key feature use, or a support interaction. Understand what users experienced at that exact moment, not in a quarterly survey.

Go deeper than NPS

NPS tells you the score. Qria tells you why. AI reads every response and surfaces what users keep saying: the feature they misunderstood, the moment they felt stuck, the thing that made them stay.

Build on what users value, fix what they are fighting

Know which features drive satisfaction and which are causing friction. Ship with confidence because you understand what users actually care about.

How it works

01

Trigger feedback at key moments

Embed a feedback link or trigger a pop-up after onboarding, a key action, or a churn event. Users respond in under two minutes.

02

AI reads every response and surfaces what matters

No tagging, no spreadsheet analysis. Qria tells you what users keep saying, how sentiment shifts over time, and where to focus next.

03

Close the loop with your team and your product

Use what you learn to prioritise the roadmap, write better onboarding, and understand churn before it happens.

What's inside

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Webhook integrations

Push every response into your data stack. Connect to your CRM, analytics tool, or n8n workflow via webhook. Keep Segment, Mixpanel, or your own database in sync automatically.

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Ask AI anything

"What do users say about the onboarding flow?" "What is the most common frustration among free users?" Get specific, data-backed answers from your own feedback.

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Sentiment over time

Track how user satisfaction shifts across releases, campaigns, and product changes. Spot when something you shipped made things worse before it affects retention.

Where it fits

SaaS products & subscription apps

Understand what drives trial-to-paid conversion, what features users value most, and what is causing churn. Go beyond NPS to understand the why.

Onboarding & activation flows

Collect feedback immediately after users complete onboarding. Know what felt confusing, what clicked, and what would have made them get to value faster.

Post-support & post-feature feedback

Follow up after a support interaction or a new feature release. Understand whether the issue was resolved and whether the feature landed the way you intended.

Ready to understand what your users actually experience?

Start collecting structured feedback at key moments in the journey.

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Common questions

How do I embed a feedback form in my product?

Qria gives you a shareable link and a QR code for every form. Add the link to an in-app prompt, a post-action email, or a support follow-up. You can also trigger the feedback link via webhook after a specific user event in your product.

How is this different from an NPS tool?

NPS gives you a score. Qria gives you structured, open-ended feedback that AI analyses to surface themes and trends. You can include an NPS-style question in a Qria form, but you will also know why users gave that score.

Can Qria integrate with my analytics stack?

Yes. Every Qria form publishes a webhook on each new response. Point that webhook at Segment, Mixpanel, HubSpot, or any tool via n8n or Zapier to keep your user data in sync.

Can I track how sentiment changes after a product release?

Yes. Qria tracks sentiment over time and surfaces shifts across your feedback. If a release caused a spike in complaints or a drop in satisfaction, you will see it in the data.

Is user feedback data stored securely?

Yes. All data is stored in the EU with row-level security. Feedback is only visible to the users in your account.

Ready to understand what your users actually experience?

Start free trial โ†’

30-day free trial ยท No credit card required