FeedAIback

FeedAIback builds conversational feedback forms in which AI asks adaptive follow-up questions, then summarizes responses into themes, sentiment and actionable product insights. It targets SaaS and product teams that want richer qualitative data than static surveys provide, with custom branding, A/B testing and multilingual support.

FeedAIback replaces the static survey with a conversational form. Instead of presenting every respondent with the same fixed list of questions, the tool runs a chat-style interaction in which the AI decides what to ask next based on what the customer has just said. The stated goal is to surface needs, pain points and reasons for churn in more depth than a checkbox grid allows, and to hand the product team analysis rather than raw responses. Setup is deliberately lightweight. The user describes the product and the objective (onboarding friction, MVP product-market fit, roadmap prioritization, for instance), and the AI drafts the questions and produces a form link in seconds. That form can be shared as a link or embedded in a site or app, restyled with custom branding, and tested in A/B variants to lift response rates. Once responses arrive, the system summarizes each conversation against the form objective, reads sentiment and emotion behind answers, and supports follow-up questions in plain language, such as asking what users find difficult and having the AI scan all feedback for the answer. The site notes that all major languages are supported. The product is aimed at SaaS and software teams, product managers and founders who need qualitative signal without running manual interviews. The homepage also positions it for employee surveys and market research, so the audience is not strictly customer-facing. It sits in the same space as feedback and survey platforms, but competes on the interview-style collection layer and the AI summarization on top, not on enterprise survey plumbing. The main caveats are transparency and scope. Features and customization are discussed on the homepage, but integrations are only mentioned as available through a custom conversation with the team, and no API or native connector list is published. Pricing is described as tiered plans after an initial credit allowance, without published rates. Teams that need strict data-residency guarantees, deep CRM wiring or a self-hosted option should confirm those points with the vendor before committing.