
PushFeedback
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PushFeedback is a feedback widget built for documentation sites. Readers click one button on the page they're already reading, leave a rating, a comment, and an annotated screenshot showing exactly where they got stuck. On the other side, your team gets a ranked view of which pages draw the most negative feedback, and AI Reports group hundreds of comments into recurring themes with recommended fixes, so you update the pages that actually confuse people instead of the ones you guess at. It installs in about 5 minutes via script tag, npm, or native plugins for Docusaurus, MkDocs, Sphinx, Starlight, WordPress, and more, and routes feedback to Slack, Teams, Jira, or Zapier. GDPR-ready with no tracking cookies, a lightweight async widget under 30KB, and a free plan that collects unlimited feedback with every entry readable forever. Built by TechDocs Studio and running on 200+ documentation sites since 2023, with 25,000+ feedback reports processed.
PushFeedback
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PushFeedback's answer
PushFeedback's answer
PushFeedback combines a lightweight feedback widget, annotated screenshots, and AI-powered analysis in one tool that installs in about 5 minutes on any website. Visitors click one button on the page they're already viewing, leave a rating and comment, and mark up a screenshot showing exactly where they got stuck, so "this is confusing" arrives with visual context. On your side, AI Reports group hundreds of entries into recurring themes with recommended fixes, and page-level insights rank which pages draw the most negative feedback. It's battle-tested on 200+ sites with over 25,000 feedback reports processed since 2023, loads asynchronously at under 30KB, and the free plan collects unlimited feedback with every entry readable forever.
PushFeedback's answer
Three reasons: it's easier, it's more actionable, and it's honestly priced.
Easier: if you can paste a script tag you can install it, and there are native plugins for WordPress, React, Docusaurus, Sphinx, and more, plus routing to Slack, Teams, Jira, Zapier, and Make.
More actionable: instead of a dashboard of raw comments, AI turns feedback into a prioritized fix list with themes, sentiment trends, and recommended actions, so you fix root causes instead of reading 500 entries.
Honestly priced: public self-serve pricing with a free tier that never expires and a Professional plan at $24/month, no demo call required. And it's proven where feedback tools face their toughest audience: 200+ documentation sites where technical readers report problems daily.
PushFeedback's answer
Anyone running a site that has to keep getting better based on real user input. That includes documentation teams and technical writers maintaining API docs and guides, development teams collecting visual bug reports and UX feedback, agencies gathering annotated client feedback on websites they build and maintain, product and content teams tracking which pages help and which frustrate, and educators collecting input from students. If your visitors notice problems but never tell you, PushFeedback gives them a one-click way to do it on the page itself.
PushFeedback's answer
PushFeedback started in 2023 with a simple observation: visitors notice problems on your site constantly, and almost none of them ever tell you. A form hidden behind a contact page doesn't get filled in; a button on the page they're already reading does. We built the tool we wanted ourselves: one button, an annotated screenshot, a rating, and a dashboard that turns the stream into a prioritized to-do list. We proved it first in the hardest arena we knew, documentation sites with demanding technical readers, and today it runs on 200+ sites and has processed over 25,000 feedback reports for docs teams, dev teams, agencies, and educators. PushFeedback is built by TechDocs Studio, a company from Spain; its sibling product, Biel.ai, is an AI assistant for docs.
PushFeedback's answer
The widget is a framework-agnostic web component that drops into any site via script tag or npm, with dedicated wrappers and plugins for React, WordPress, Docusaurus, and Sphinx. The marketing site runs on Next.js. AI Reports are powered by large language models with evaluation tuning for reliable theme detection. Infrastructure is GDPR-ready, with no tracking cookies and EU hosting available.
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