# Feeedbackr vs Qase

Feeedbackr records 548 monthly visits with +114.9% month-over-month growth and Freemium pricing. Qase records 319,213 monthly visits with -25.5% growth and Freemium, Free Trial, Contact for Pricing, Free pricing.

| Metric | [Feeedbackr](https://openaitools.app/tool/feeedbackr) | [Qase](https://openaitools.app/tool/qase) |
| :--- | :--- | :--- |
| Website URL | https://feeedbackr.com | https://qase.io |
| Categories | AI For Data Analytics, AI Research Tool, AI Text Classifier, AI Customer Service | AI Testing, AI Agent, AI Productivity Tools, AI Developer Tools |
| Pricing Model | Freemium | Freemium, Free Trial, Contact for Pricing, Free |
| Monthly Visits | 548 | 319,213 |
| MoM Growth Rate | +114.9% | -25.5% |
| Primary Market | France | South Korea |
| Direct Visits | 177 | 246,413 |
| Review Score | 4.1 | 4.5 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Feeedbackr

Feeedbackr takes the opposite approach to most customer feedback suites: no SDK, no workflow configuration, no seat-based subscription. You sign up, copy a plain <a> tag pointing at your Feeedbackr portal into your app, and start receiving feedback. Each submission automatically carries the page URL and user ID so you know exactly where the friction happened. A REST API is available if you need programmatic control over submission.

Once feedback arrives, AI does the sorting work. Every entry gets a sentiment score ranging from very negative to very positive and is tagged with a category such as bug, feature request, UI/UX or performance. Spam is filtered out, so founders can read the signal rather than the noise. Webhooks push each new item to any service that accepts an HTTP callback — your own backend, Discord, Slack or Linear.

The reporting layer is where the product earns its keep. On demand, Feeedbackr synthesizes hundreds of individual messages into a report that ranks feature requests by how many users asked for them, flags churn-risk signals with likely root causes, and lists concrete recommendations. Pricing is credit-based and pay-as-you-go, so cost scales with how much feedback your product actually generates rather than a recurring subscription.

**Pricing & Plans:** No permanent free tier, but every new account gets 50 free credits to try the full product. Paid usage is a €19 one-time Feedback Pack that never expires and includes 1,500 credits (1 credit per feedback, 5 per AI report), with unlimited apps and domains. Billing is handled by Stripe.

- **One-link integration:** Add a single anchor tag pointing at your hosted feedback portal — no SDK, no npm package — or use the REST API for full control.
- **AI sentiment and categorization:** Every submission receives a sentiment score plus category tags such as bug, feature request, UI/UX or performance, with spam detection built in.
- **Webhooks:** Stream new feedback into your own backend, Discord, Slack, Linear or any endpoint that accepts an HTTP callback.
- **AI-powered reports:** Generate synthesized reports that rank feature requests by user count, detect churn risk with root causes, and suggest prioritized next steps.
- **Credit-based pricing:** One account covers unlimited apps and domains, and credits are shared across projects with no per-seat charges.

**Strengths:** Setup takes minutes with a plain link and no SDK or dependency to maintain; AI tagging, sentiment scoring and spam filtering remove manual triage work; One-time credit packs avoid recurring subscriptions and per-seat fees; Webhooks fit into existing tools without needing native integrations

**Limitations:** No permanent free plan — only 50 starter credits before you must buy a pack; Data export is not yet available, which limits portability of your feedback history; Direct integrations with tools like Slack or Notion are not on the current roadmap

[Profile (Markdown)](https://openaitools.app/tool/feeedbackr.md)

## Qase

Qase is built around a simple premise: development velocity has outrun QA, and the gap shows up as bulging manual test backlogs and scattered results. The platform pulls CI pipeline output, automated test runs, and manual test execution into one system of record, so a single dashboard answers whether a release is actually safe to ship.

The headline AI capability is practical rather than cosmetic. Qase takes existing manual test cases and converts them into runnable automation scripts for frameworks such as Playwright, Cypress, and Selenium, which means the backlog of untested scenarios can shrink instead of compounding every sprint. Alongside that, requirement traceability links what was asked for to what was actually verified, and release readiness views surface pass rates, coverage gaps, blockers, and flaky tests.

Qase connects deeply with the rest of the toolchain — more than 35 integrations spanning Jira, GitHub, Slack, CI/CD pipelines, and test frameworks from Pytest to PHPUnit. More recently the team added Model Context Protocol support so AI agents can work directly with test data, and launched Tiden, a separate product that extends verification beyond the test phase to agent-written code across the development lifecycle. A free tier and trial make it easy to evaluate before committing.

**Pricing & Plans:** Freemium with a free plan and free trial, plus paid tiers for growing teams. Enterprise and high-volume API use is quoted through sales, and the companion Tiden product is priced separately.

- **Unified system of record:** Manual test cases, automated test runs, and CI pipeline results consolidate into one dashboard so there are no blind spots about coverage or pass rates.
- **Qase AI automations:** Paste a manual test case, choose a framework, and Qase generates an automation script for Playwright, Cypress, or Selenium, shrinking the manual backlog instead of growing it.
- **Requirements traceability:** Bidirectional links connect every requirement to its test cases and results, so when something breaks you can trace exactly what was verified.
- **Release readiness reports:** Pass rates, coverage gaps, blockers, and flaky-test history come together in shareable readiness views for confident go/no-go decisions.
- **35+ integrations and MCP:** Bidirectional connectors for Jira, GitHub, Slack, CI/CD pipelines, and major test frameworks, plus Model Context Protocol access for AI agents.

**Strengths:** One unified view of manual, automated, and CI test results; AI conversion of manual cases into Playwright, Cypress, or Selenium scripts; Strong requirement-to-result traceability and readiness reporting; 35+ bidirectional integrations with Jira, GitHub, Slack, and CI/CD tools

**Limitations:** Feature depth means a real ramp-up period for small teams; Advanced enterprise capabilities sit behind sales-negotiated pricing; The new AI conversion and agentic features are still maturing

[Profile (Markdown)](https://openaitools.app/tool/qase.md)

## Frequently Asked Questions

### How do Feeedbackr and Qase compare in monthly traffic?

Feeedbackr has 548 monthly visits, while Qase has 319,213. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Feeedbackr has a month-over-month growth rate of +114.9%; Qase has -25.5%.

### How does pricing compare?

Feeedbackr: Freemium. No permanent free tier, but every new account gets 50 free credits to try the full product. Paid usage is a €19 one-time Feedback Pack that never expires and includes 1,500 credits (1 credit per feedback, 5 per AI report), with unlimited apps and domains. Billing is handled by Stripe. Qase: Freemium, Free Trial, Contact for Pricing, Free. Freemium with a free plan and free trial, plus paid tiers for growing teams. Enterprise and high-volume API use is quoted through sales, and the companion Tiden product is priced separately.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | Offers an advanced AI-native QA agent for plain-language test authoring, but is less traditional test management-focused. | [.md](https://openaitools.app/tool/kaneai.md) |
| 2 | [Jam](https://openaitools.app/tool/jamgpt) | 570,598 | -6% | Freemium, Paid | Screen recorder that captures bugs with full technical context | [.md](https://openaitools.app/tool/jamgpt.md) |
| 3 | [Canny Autopilot](https://openaitools.app/tool/canny-autopilot) | 419,132 | -10.5% | Freemium, Paid, Contact for Pricing | AI feedback capture that ties customer requests to revenue | [.md](https://openaitools.app/tool/canny-autopilot.md) |
| 4 | [Voxpopme](https://openaitools.app/tool/voxpopme-com) | 301,522 | +38.5% | Contact for Pricing | Turn customer voices into confident decisions | [.md](https://openaitools.app/tool/voxpopme-com.md) |
| 5 | [Productboard](https://openaitools.app/tool/productboard) | 297,500 | -9.3% | Freemium, Free Trial, Paid, Contact for Pricing | Agentic product management system for customer-driven roadmaps | [.md](https://openaitools.app/tool/productboard.md) |
| 6 | [Dovetail](https://openaitools.app/tool/dovetail) | 238,937 | -5.1% | Contact for Pricing | AI-native customer intelligence platform that turns every customer conversation into context | [.md](https://openaitools.app/tool/dovetail.md) |
| 7 | [Katalon](https://openaitools.app/tool/katalon-studio) | 158,090 | -29.6% | Freemium, Free Trial, Paid, Contact for Pricing | Provides comprehensive test management and execution across web, mobile, and APIs, though with a heavier desktop footprint. | [.md](https://openaitools.app/tool/katalon-studio.md) |
| 8 | [TestSprite](https://openaitools.app/tool/testsprite) | 114,205 | +15.8% | Freemium | Focuses on autonomous regression test generation and execution, but offers less robust manual test case management features. | [.md](https://openaitools.app/tool/testsprite.md) |
| 9 | [testRigor](https://openaitools.app/tool/testrigor-com) | 105,865 | -2.7% | Free Trial, Contact for Pricing, Free | Excels at writing and self-healing end-to-end tests using plain English instructions, but differs from structured test case repositories. | [.md](https://openaitools.app/tool/testrigor-com.md) |
| 10 | [OSS Insight](https://openaitools.app/tool/oss-insight) | 97,152 | -13% | Free | Free real-time analytics for open source projects on GitHub | [.md](https://openaitools.app/tool/oss-insight.md) |

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Source: https://openaitools.app/compare/feeedbackr-vs-qase

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