feedback.tools

What feedback.tools is

feedback.tools is a feedback collection and analysis tool for software teams. Its own comparison pages describe it as "a simpler and more affordable in-app feedback solution built for software teams" that gives AI-powered insights without enterprise plans. The homepage names three audiences. Founders get a daily dashboard of how the product performs. Product teams get a view of which features users want and which pain points block adoption. Customer success teams catch problems before they become churn. The pages we hold do not say where the company is based.

What you build and how

You build two things here, a collection point and a survey. For the collection point the homepage lists three formats. A widget opens a feedback form right inside your product and can be triggered from any action, so the user never leaves the page. A button stays permanently on the page for people who have something to say. A tab pins to the edge of the page and opens the form with one click. All three sit inside your product, which is what puts the tool in the in-app survey group.

For the survey itself, the homepage lists customer surveys asked "at the right moment, when they actually want to share feedback". The NPS survey asks whether users would recommend the product. The customer satisfaction survey asks about overall satisfaction and what people love or want improved. The customer effort survey asks how easy the product is to use. The footer also links to Customer Loyalty Surveys, Voice of Customer, Multilingual Surveys and QR Code Surveys. The changelog shows how the form side grows. On Sep 11, 2026 it added a plain feedback form, one open question and a text field without scoring, for users who just want to write what they think and get back to work. On Sep 14, 2026 respondents gained the ability to attach a screenshot of the page to their answer, shown in the response card next to the text. So a feedback form here is the same builder, not a separate product.

The company says setup takes minutes. You create a survey and get a direct link to share immediately. If you need in-app surveys or more complex integrations, it provides an SDK. The comparison tables list a full JavaScript SDK, appearance customization and the ability to target specific users. The footer lists a free open source React feedback surveys project, a free AI survey generator, an AI user persona generator and an NPS calculator.

Everything lands in one place. The homepage shows a feedback dashboard that gives a real-time pulse on what users think, a response inbox, themes, and a satisfaction score described as one clear number. The analysis is the part the company leans on. The comparison pages list automated insights with categories, automatic sentiment analysis, an AI-prioritized product backlog, and error monitoring with trend visualization under the label incident tracking. The company says it delivers "development-ready insights", meaning specific items a team can work on, rather than abstract topic clouds. Data stays exportable, since both comparison tables mark CSV and Excel export as available.

For routing, the homepage says you can send feedback to Slack, Discord, GitHub, webhooks and other third-party tools. A single feedback theme can be pushed to GitHub as a ready-to-triage issue. An MCP option lets you query and analyze your data directly from AI tools. A Shopify survey app, a post-purchase CSAT survey with a second question asking buyers how they heard about the store, works in 6 languages. The changelog dated Aug 31, 2026 says that app is now free with unlimited responses. The footer also mentions a setup page for agents and an llms.txt file.

The FAQ explains why the company thinks a purpose-built tool beats a general chatbot. It argues that ChatGPT or Claude lose information at volume because of context limits, and that you would have to build the integrations, databases, pipelines and maintenance yourself.

What the pages say about plans and limits

The pricing the pages show is one fixed plan. Its comparison tables list the Standard plan at $35 a month, or $420 a year, at every response volume from 100 to 10K responses. The tables carry a note that all prices are approximate, so confirm the figure on the pricing page before budgeting. The homepage FAQ states the model plainly, "fixed pricing with unlimited response processing", with no per-response fees. The comparison pages add that all listed features are on the Standard plan "with no limits except the number of surveys". A 7-day free trial is offered without a credit card.

Those comparison pages are the company's own, published Feb 11, 2026, so the competitor claims on them are feedback.tools' view. For Qualaroo it says the free plan's 50 responses are a lifetime total, that its AI features need a $1,799 a year Enterprise plan, and that removing "Powered By" branding costs $300 a year extra. For Retently it says you pay for surveys sent rather than responses received, and that web pop-up surveys need the $299 a month Pro plan. Treat those as claims to verify against each vendor.

Support is described as personal. The footer says the team answers every message personally, with an average response time of about 2 hours, Monday to Friday, 9:00 AM to 6:00 PM.

Who it suits and who it does not

feedback.tools suits a small SaaS team that wants in-app feedback and NPS, CSAT or CES scores without a per-response bill, and that would rather read prioritized themes than read raw comments. A founder who wants a daily view of product health, or a customer success team that wants issues pushed to Slack or GitHub, fits the way the homepage frames it. A team that wants a shareable survey link in minutes can start from the trial with no setup project.

The caveats are about breadth. The pages show a single Standard plan, so a company that needs several tiers, role controls or governance features will not find them described here. The pages we hold also state no compliance certifications, so a regulated buyer needs to ask. And its main strength is in-product and link feedback, so a team running large email or multichannel research programs would be better served by a broader survey platform.